| program(1.0) | |
| [buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3404.16.1"}, {"coremlc-version", "3404.23.1"}})] | |
| { | |
| func main<ios17>(tensor<fp16, [7]> input_1, tensor<fp16, [480000]> waveform) { | |
| tensor<int32, []> var_4 = const()[name = tensor<string, []>("op_4"), val = tensor<int32, []>(0)]; | |
| tensor<int32, []> sliding_windows_0_size_0 = const()[name = tensor<string, []>("sliding_windows_0_size_0"), val = tensor<int32, []>(160000)]; | |
| tensor<int32, []> sliding_windows_0_stride_0 = const()[name = tensor<string, []>("sliding_windows_0_stride_0"), val = tensor<int32, []>(16000)]; | |
| tensor<fp16, [21, 160000]> sliding_windows_0_cast_fp16 = sliding_windows(axis = var_4, size = sliding_windows_0_size_0, stride = sliding_windows_0_stride_0, x = waveform)[name = tensor<string, []>("sliding_windows_0_cast_fp16")]; | |
| tensor<int32, [1]> input_1_axes_0 = const()[name = tensor<string, []>("input_1_axes_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<fp16, [21, 1, 160000]> sliding_window_waveform = expand_dims(axes = input_1_axes_0, x = sliding_windows_0_cast_fp16)[name = tensor<string, []>("input_1_cast_fp16")]; | |
| tensor<int32, []> var_10 = const()[name = tensor<string, []>("op_10"), val = tensor<int32, []>(-1)]; | |
| tensor<fp32, []> var_27 = const()[name = tensor<string, []>("op_27"), val = tensor<fp32, []>(0x1.47ae14p-7)]; | |
| tensor<fp16, [1]> model_sincnet_wav_norm1d_weight_to_fp16 = const()[name = tensor<string, []>("model_sincnet_wav_norm1d_weight_to_fp16"), val = tensor<fp16, [1]>([0x1.44p-7])]; | |
| tensor<fp16, [1]> model_sincnet_wav_norm1d_bias_to_fp16 = const()[name = tensor<string, []>("model_sincnet_wav_norm1d_bias_to_fp16"), val = tensor<fp16, [1]>([0x1.734p-5])]; | |
| tensor<fp16, []> var_18_to_fp16 = const()[name = tensor<string, []>("op_18_to_fp16"), val = tensor<fp16, []>(0x1.5p-17)]; | |
| tensor<fp16, [21, 1, 160000]> input_3_cast_fp16 = instance_norm(beta = model_sincnet_wav_norm1d_bias_to_fp16, epsilon = var_18_to_fp16, gamma = model_sincnet_wav_norm1d_weight_to_fp16, x = sliding_window_waveform)[name = tensor<string, []>("input_3_cast_fp16")]; | |
| tensor<string, []> outputs_pad_type_0 = const()[name = tensor<string, []>("outputs_pad_type_0"), val = tensor<string, []>("valid")]; | |
| tensor<int32, [1]> outputs_strides_0 = const()[name = tensor<string, []>("outputs_strides_0"), val = tensor<int32, [1]>([10])]; | |
| tensor<int32, [2]> outputs_pad_0 = const()[name = tensor<string, []>("outputs_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> outputs_dilations_0 = const()[name = tensor<string, []>("outputs_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, []> outputs_groups_0 = const()[name = tensor<string, []>("outputs_groups_0"), val = tensor<int32, []>(1)]; | |
| tensor<fp16, [80, 1, 251]> model_sincnet_conv1d_0_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [20080]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20224))), name = tensor<string, []>("model_sincnet_conv1d_0_weight_to_fp16_palettized"), shape = tensor<uint32, [3]>([80, 1, 251])]; | |
| tensor<fp16, [21, 80, 15975]> outputs_cast_fp16 = conv(dilations = outputs_dilations_0, groups = outputs_groups_0, pad = outputs_pad_0, pad_type = outputs_pad_type_0, strides = outputs_strides_0, weight = model_sincnet_conv1d_0_weight_to_fp16_palettized, x = input_3_cast_fp16)[name = tensor<string, []>("outputs_cast_fp16")]; | |
| tensor<fp16, [21, 80, 15975]> input_5_cast_fp16 = abs(x = outputs_cast_fp16)[name = tensor<string, []>("input_5_cast_fp16")]; | |
| tensor<int32, [1]> var_58 = const()[name = tensor<string, []>("op_58"), val = tensor<int32, [1]>([3])]; | |
| tensor<int32, [1]> var_59 = const()[name = tensor<string, []>("op_59"), val = tensor<int32, [1]>([3])]; | |
| tensor<string, []> input_7_pad_type_0 = const()[name = tensor<string, []>("input_7_pad_type_0"), val = tensor<string, []>("custom")]; | |
| tensor<int32, [2]> input_7_pad_0 = const()[name = tensor<string, []>("input_7_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<bool, []> input_7_ceil_mode_0 = const()[name = tensor<string, []>("input_7_ceil_mode_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [21, 80, 5325]> input_7_cast_fp16 = max_pool(ceil_mode = input_7_ceil_mode_0, kernel_sizes = var_58, pad = input_7_pad_0, pad_type = input_7_pad_type_0, strides = var_59, x = input_5_cast_fp16)[name = tensor<string, []>("input_7_cast_fp16")]; | |
| tensor<fp16, [80]> model_sincnet_norm1d_0_weight_to_fp16 = const()[name = tensor<string, []>("model_sincnet_norm1d_0_weight_to_fp16"), val = tensor<fp16, [80]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20800)))]; | |
| tensor<fp16, [80]> model_sincnet_norm1d_0_bias_to_fp16 = const()[name = tensor<string, []>("model_sincnet_norm1d_0_bias_to_fp16"), val = tensor<fp16, [80]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21056)))]; | |
| tensor<fp16, [21, 80, 5325]> input_9_cast_fp16 = instance_norm(beta = model_sincnet_norm1d_0_bias_to_fp16, epsilon = var_18_to_fp16, gamma = model_sincnet_norm1d_0_weight_to_fp16, x = input_7_cast_fp16)[name = tensor<string, []>("input_9_cast_fp16")]; | |
| tensor<fp16, [21, 80, 5325]> input_11_cast_fp16 = leaky_relu(alpha = var_27, x = input_9_cast_fp16)[name = tensor<string, []>("input_11_cast_fp16")]; | |
| tensor<string, []> input_13_pad_type_0 = const()[name = tensor<string, []>("input_13_pad_type_0"), val = tensor<string, []>("valid")]; | |
| tensor<int32, [1]> input_13_strides_0 = const()[name = tensor<string, []>("input_13_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> input_13_pad_0 = const()[name = tensor<string, []>("input_13_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> input_13_dilations_0 = const()[name = tensor<string, []>("input_13_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, []> input_13_groups_0 = const()[name = tensor<string, []>("input_13_groups_0"), val = tensor<int32, []>(1)]; | |
| tensor<fp16, [60, 80, 5]> model_sincnet_conv1d_1_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [24000]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21312))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45376))), name = tensor<string, []>("model_sincnet_conv1d_1_weight_to_fp16_palettized"), shape = tensor<uint32, [3]>([60, 80, 5])]; | |
| tensor<fp16, [60]> model_sincnet_conv1d_1_bias_to_fp16 = const()[name = tensor<string, []>("model_sincnet_conv1d_1_bias_to_fp16"), val = tensor<fp16, [60]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(45952)))]; | |
| tensor<fp16, [21, 60, 5321]> input_13_cast_fp16 = conv(bias = model_sincnet_conv1d_1_bias_to_fp16, dilations = input_13_dilations_0, groups = input_13_groups_0, pad = input_13_pad_0, pad_type = input_13_pad_type_0, strides = input_13_strides_0, weight = model_sincnet_conv1d_1_weight_to_fp16_palettized, x = input_11_cast_fp16)[name = tensor<string, []>("input_13_cast_fp16")]; | |
| tensor<int32, [1]> var_74 = const()[name = tensor<string, []>("op_74"), val = tensor<int32, [1]>([3])]; | |
| tensor<int32, [1]> var_75 = const()[name = tensor<string, []>("op_75"), val = tensor<int32, [1]>([3])]; | |
| tensor<string, []> input_15_pad_type_0 = const()[name = tensor<string, []>("input_15_pad_type_0"), val = tensor<string, []>("custom")]; | |
| tensor<int32, [2]> input_15_pad_0 = const()[name = tensor<string, []>("input_15_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<bool, []> input_15_ceil_mode_0 = const()[name = tensor<string, []>("input_15_ceil_mode_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [21, 60, 1773]> input_15_cast_fp16 = max_pool(ceil_mode = input_15_ceil_mode_0, kernel_sizes = var_74, pad = input_15_pad_0, pad_type = input_15_pad_type_0, strides = var_75, x = input_13_cast_fp16)[name = tensor<string, []>("input_15_cast_fp16")]; | |
| tensor<fp16, [60]> model_sincnet_norm1d_1_weight_to_fp16 = const()[name = tensor<string, []>("model_sincnet_norm1d_1_weight_to_fp16"), val = tensor<fp16, [60]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46144)))]; | |
| tensor<fp16, [60]> model_sincnet_norm1d_1_bias_to_fp16 = const()[name = tensor<string, []>("model_sincnet_norm1d_1_bias_to_fp16"), val = tensor<fp16, [60]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46336)))]; | |
| tensor<fp16, [21, 60, 1773]> input_17_cast_fp16 = instance_norm(beta = model_sincnet_norm1d_1_bias_to_fp16, epsilon = var_18_to_fp16, gamma = model_sincnet_norm1d_1_weight_to_fp16, x = input_15_cast_fp16)[name = tensor<string, []>("input_17_cast_fp16")]; | |
| tensor<fp16, [21, 60, 1773]> input_19_cast_fp16 = leaky_relu(alpha = var_27, x = input_17_cast_fp16)[name = tensor<string, []>("input_19_cast_fp16")]; | |
| tensor<string, []> input_21_pad_type_0 = const()[name = tensor<string, []>("input_21_pad_type_0"), val = tensor<string, []>("valid")]; | |
| tensor<int32, [1]> input_21_strides_0 = const()[name = tensor<string, []>("input_21_strides_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, [2]> input_21_pad_0 = const()[name = tensor<string, []>("input_21_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [1]> input_21_dilations_0 = const()[name = tensor<string, []>("input_21_dilations_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<int32, []> input_21_groups_0 = const()[name = tensor<string, []>("input_21_groups_0"), val = tensor<int32, []>(1)]; | |
| tensor<fp16, [60, 60, 5]> model_sincnet_conv1d_2_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [18000]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(46528))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64640))), name = tensor<string, []>("model_sincnet_conv1d_2_weight_to_fp16_palettized"), shape = tensor<uint32, [3]>([60, 60, 5])]; | |
| tensor<fp16, [60]> model_sincnet_conv1d_2_bias_to_fp16 = const()[name = tensor<string, []>("model_sincnet_conv1d_2_bias_to_fp16"), val = tensor<fp16, [60]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(65216)))]; | |
| tensor<fp16, [21, 60, 1769]> input_21_cast_fp16 = conv(bias = model_sincnet_conv1d_2_bias_to_fp16, dilations = input_21_dilations_0, groups = input_21_groups_0, pad = input_21_pad_0, pad_type = input_21_pad_type_0, strides = input_21_strides_0, weight = model_sincnet_conv1d_2_weight_to_fp16_palettized, x = input_19_cast_fp16)[name = tensor<string, []>("input_21_cast_fp16")]; | |
| tensor<int32, [1]> var_90 = const()[name = tensor<string, []>("op_90"), val = tensor<int32, [1]>([3])]; | |
| tensor<int32, [1]> var_91 = const()[name = tensor<string, []>("op_91"), val = tensor<int32, [1]>([3])]; | |
| tensor<string, []> input_23_pad_type_0 = const()[name = tensor<string, []>("input_23_pad_type_0"), val = tensor<string, []>("custom")]; | |
| tensor<int32, [2]> input_23_pad_0 = const()[name = tensor<string, []>("input_23_pad_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<bool, []> input_23_ceil_mode_0 = const()[name = tensor<string, []>("input_23_ceil_mode_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [21, 60, 589]> input_23_cast_fp16 = max_pool(ceil_mode = input_23_ceil_mode_0, kernel_sizes = var_90, pad = input_23_pad_0, pad_type = input_23_pad_type_0, strides = var_91, x = input_21_cast_fp16)[name = tensor<string, []>("input_23_cast_fp16")]; | |
| tensor<fp16, [60]> model_sincnet_norm1d_2_weight_to_fp16 = const()[name = tensor<string, []>("model_sincnet_norm1d_2_weight_to_fp16"), val = tensor<fp16, [60]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(65408)))]; | |
| tensor<fp16, [60]> model_sincnet_norm1d_2_bias_to_fp16 = const()[name = tensor<string, []>("model_sincnet_norm1d_2_bias_to_fp16"), val = tensor<fp16, [60]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(65600)))]; | |
| tensor<fp16, [21, 60, 589]> input_25_cast_fp16 = instance_norm(beta = model_sincnet_norm1d_2_bias_to_fp16, epsilon = var_18_to_fp16, gamma = model_sincnet_norm1d_2_weight_to_fp16, x = input_23_cast_fp16)[name = tensor<string, []>("input_25_cast_fp16")]; | |
| tensor<fp16, [21, 60, 589]> x_cast_fp16 = leaky_relu(alpha = var_27, x = input_25_cast_fp16)[name = tensor<string, []>("x_cast_fp16")]; | |
| tensor<int32, [3]> transpose_2_perm_0 = const()[name = tensor<string, []>("transpose_2_perm_0"), val = tensor<int32, [3]>([2, 0, 1])]; | |
| tensor<string, []> input_29_lstm_layer_0_direction_0 = const()[name = tensor<string, []>("input_29_lstm_layer_0_direction_0"), val = tensor<string, []>("bidirectional")]; | |
| tensor<bool, []> input_29_lstm_layer_0_output_sequence_0 = const()[name = tensor<string, []>("input_29_lstm_layer_0_output_sequence_0"), val = tensor<bool, []>(true)]; | |
| tensor<string, []> input_29_lstm_layer_0_recurrent_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_0_recurrent_activation_0"), val = tensor<string, []>("sigmoid")]; | |
| tensor<string, []> input_29_lstm_layer_0_cell_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_0_cell_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<string, []> input_29_lstm_layer_0_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_0_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<fp16, [21, 256]> input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [5376]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(65792))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(71232))), name = tensor<string, []>("input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized"), shape = tensor<uint32, [2]>([21, 256])]; | |
| tensor<fp16, [512, 60]> concat_4_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [30720]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(71808))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(102592))), name = tensor<string, []>("concat_4_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 60])]; | |
| tensor<fp16, [512, 128]> concat_5_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(103168))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(168768))), name = tensor<string, []>("concat_5_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_0_to_fp16 = const()[name = tensor<string, []>("add_0_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(169344)))]; | |
| tensor<fp16, [512, 60]> concat_6_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [30720]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(170432))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(201216))), name = tensor<string, []>("concat_6_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 60])]; | |
| tensor<fp16, [512, 128]> concat_7_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(201792))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(267392))), name = tensor<string, []>("concat_7_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_1_to_fp16 = const()[name = tensor<string, []>("add_1_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(267968)))]; | |
| tensor<fp16, [589, 21, 60]> transpose_2_cast_fp16 = transpose(perm = transpose_2_perm_0, x = x_cast_fp16)[name = tensor<string, []>("transpose_1")]; | |
| tensor<fp16, [589, 21, 256]> input_29_lstm_layer_0_cast_fp16_0, tensor<fp16, [21, 256]> input_29_lstm_layer_0_cast_fp16_1, tensor<fp16, [21, 256]> input_29_lstm_layer_0_cast_fp16_2 = lstm(activation = input_29_lstm_layer_0_activation_0, bias = add_0_to_fp16, bias_back = add_1_to_fp16, cell_activation = input_29_lstm_layer_0_cell_activation_0, direction = input_29_lstm_layer_0_direction_0, initial_c = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, initial_h = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, output_sequence = input_29_lstm_layer_0_output_sequence_0, recurrent_activation = input_29_lstm_layer_0_recurrent_activation_0, weight_hh = concat_5_to_fp16_palettized, weight_hh_back = concat_7_to_fp16_palettized, weight_ih = concat_4_to_fp16_palettized, weight_ih_back = concat_6_to_fp16_palettized, x = transpose_2_cast_fp16)[name = tensor<string, []>("input_29_lstm_layer_0_cast_fp16")]; | |
| tensor<string, []> input_29_lstm_layer_1_direction_0 = const()[name = tensor<string, []>("input_29_lstm_layer_1_direction_0"), val = tensor<string, []>("bidirectional")]; | |
| tensor<bool, []> input_29_lstm_layer_1_output_sequence_0 = const()[name = tensor<string, []>("input_29_lstm_layer_1_output_sequence_0"), val = tensor<bool, []>(true)]; | |
| tensor<string, []> input_29_lstm_layer_1_recurrent_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_1_recurrent_activation_0"), val = tensor<string, []>("sigmoid")]; | |
| tensor<string, []> input_29_lstm_layer_1_cell_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_1_cell_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<string, []> input_29_lstm_layer_1_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_1_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<fp16, [512, 256]> concat_14_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [131072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(269056))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(400192))), name = tensor<string, []>("concat_14_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 256])]; | |
| tensor<fp16, [512, 128]> concat_15_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(400768))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(466368))), name = tensor<string, []>("concat_15_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_2_to_fp16 = const()[name = tensor<string, []>("add_2_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(466944)))]; | |
| tensor<fp16, [512, 256]> concat_16_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [131072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(468032))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(599168))), name = tensor<string, []>("concat_16_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 256])]; | |
| tensor<fp16, [512, 128]> concat_17_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(599744))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(665344))), name = tensor<string, []>("concat_17_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_3_to_fp16 = const()[name = tensor<string, []>("add_3_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(665920)))]; | |
| tensor<fp16, [589, 21, 256]> input_29_lstm_layer_1_cast_fp16_0, tensor<fp16, [21, 256]> input_29_lstm_layer_1_cast_fp16_1, tensor<fp16, [21, 256]> input_29_lstm_layer_1_cast_fp16_2 = lstm(activation = input_29_lstm_layer_1_activation_0, bias = add_2_to_fp16, bias_back = add_3_to_fp16, cell_activation = input_29_lstm_layer_1_cell_activation_0, direction = input_29_lstm_layer_1_direction_0, initial_c = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, initial_h = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, output_sequence = input_29_lstm_layer_1_output_sequence_0, recurrent_activation = input_29_lstm_layer_1_recurrent_activation_0, weight_hh = concat_15_to_fp16_palettized, weight_hh_back = concat_17_to_fp16_palettized, weight_ih = concat_14_to_fp16_palettized, weight_ih_back = concat_16_to_fp16_palettized, x = input_29_lstm_layer_0_cast_fp16_0)[name = tensor<string, []>("input_29_lstm_layer_1_cast_fp16")]; | |
| tensor<string, []> input_29_lstm_layer_2_direction_0 = const()[name = tensor<string, []>("input_29_lstm_layer_2_direction_0"), val = tensor<string, []>("bidirectional")]; | |
| tensor<bool, []> input_29_lstm_layer_2_output_sequence_0 = const()[name = tensor<string, []>("input_29_lstm_layer_2_output_sequence_0"), val = tensor<bool, []>(true)]; | |
| tensor<string, []> input_29_lstm_layer_2_recurrent_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_2_recurrent_activation_0"), val = tensor<string, []>("sigmoid")]; | |
| tensor<string, []> input_29_lstm_layer_2_cell_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_2_cell_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<string, []> input_29_lstm_layer_2_activation_0 = const()[name = tensor<string, []>("input_29_lstm_layer_2_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<fp16, [512, 256]> concat_24_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [131072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(667008))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(798144))), name = tensor<string, []>("concat_24_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 256])]; | |
| tensor<fp16, [512, 128]> concat_25_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(798720))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(864320))), name = tensor<string, []>("concat_25_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_4_to_fp16 = const()[name = tensor<string, []>("add_4_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(864896)))]; | |
| tensor<fp16, [512, 256]> concat_26_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [131072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(865984))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(997120))), name = tensor<string, []>("concat_26_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 256])]; | |
| tensor<fp16, [512, 128]> concat_27_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(997696))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1063296))), name = tensor<string, []>("concat_27_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_5_to_fp16 = const()[name = tensor<string, []>("add_5_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1063872)))]; | |
| tensor<fp16, [589, 21, 256]> input_29_lstm_layer_2_cast_fp16_0, tensor<fp16, [21, 256]> input_29_lstm_layer_2_cast_fp16_1, tensor<fp16, [21, 256]> input_29_lstm_layer_2_cast_fp16_2 = lstm(activation = input_29_lstm_layer_2_activation_0, bias = add_4_to_fp16, bias_back = add_5_to_fp16, cell_activation = input_29_lstm_layer_2_cell_activation_0, direction = input_29_lstm_layer_2_direction_0, initial_c = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, initial_h = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, output_sequence = input_29_lstm_layer_2_output_sequence_0, recurrent_activation = input_29_lstm_layer_2_recurrent_activation_0, weight_hh = concat_25_to_fp16_palettized, weight_hh_back = concat_27_to_fp16_palettized, weight_ih = concat_24_to_fp16_palettized, weight_ih_back = concat_26_to_fp16_palettized, x = input_29_lstm_layer_1_cast_fp16_0)[name = tensor<string, []>("input_29_lstm_layer_2_cast_fp16")]; | |
| tensor<string, []> input_29_batch_first_direction_0 = const()[name = tensor<string, []>("input_29_batch_first_direction_0"), val = tensor<string, []>("bidirectional")]; | |
| tensor<bool, []> input_29_batch_first_output_sequence_0 = const()[name = tensor<string, []>("input_29_batch_first_output_sequence_0"), val = tensor<bool, []>(true)]; | |
| tensor<string, []> input_29_batch_first_recurrent_activation_0 = const()[name = tensor<string, []>("input_29_batch_first_recurrent_activation_0"), val = tensor<string, []>("sigmoid")]; | |
| tensor<string, []> input_29_batch_first_cell_activation_0 = const()[name = tensor<string, []>("input_29_batch_first_cell_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<string, []> input_29_batch_first_activation_0 = const()[name = tensor<string, []>("input_29_batch_first_activation_0"), val = tensor<string, []>("tanh")]; | |
| tensor<fp16, [512, 256]> concat_34_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [131072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1064960))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1196096))), name = tensor<string, []>("concat_34_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 256])]; | |
| tensor<fp16, [512, 128]> concat_35_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1196672))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1262272))), name = tensor<string, []>("concat_35_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_6_to_fp16 = const()[name = tensor<string, []>("add_6_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1262848)))]; | |
| tensor<fp16, [512, 256]> concat_36_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [131072]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1263936))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1395072))), name = tensor<string, []>("concat_36_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 256])]; | |
| tensor<fp16, [512, 128]> concat_37_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [65536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1395648))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1461248))), name = tensor<string, []>("concat_37_to_fp16_palettized"), shape = tensor<uint32, [2]>([512, 128])]; | |
| tensor<fp16, [512]> add_7_to_fp16 = const()[name = tensor<string, []>("add_7_to_fp16"), val = tensor<fp16, [512]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1461824)))]; | |
| tensor<fp16, [589, 21, 256]> input_29_batch_first_cast_fp16_0, tensor<fp16, [21, 256]> input_29_batch_first_cast_fp16_1, tensor<fp16, [21, 256]> input_29_batch_first_cast_fp16_2 = lstm(activation = input_29_batch_first_activation_0, bias = add_6_to_fp16, bias_back = add_7_to_fp16, cell_activation = input_29_batch_first_cell_activation_0, direction = input_29_batch_first_direction_0, initial_c = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, initial_h = input_29_lstm_layer_0_lstm_h0_reshaped_to_fp16_palettized, output_sequence = input_29_batch_first_output_sequence_0, recurrent_activation = input_29_batch_first_recurrent_activation_0, weight_hh = concat_35_to_fp16_palettized, weight_hh_back = concat_37_to_fp16_palettized, weight_ih = concat_34_to_fp16_palettized, weight_ih_back = concat_36_to_fp16_palettized, x = input_29_lstm_layer_2_cast_fp16_0)[name = tensor<string, []>("input_29_batch_first_cast_fp16")]; | |
| tensor<int32, [3]> input_29_perm_0 = const()[name = tensor<string, []>("input_29_perm_0"), val = tensor<int32, [3]>([1, 0, 2])]; | |
| tensor<fp16, [128, 256]> model_linear_0_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [32768]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1462912))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1495744))), name = tensor<string, []>("model_linear_0_weight_to_fp16_palettized"), shape = tensor<uint32, [2]>([128, 256])]; | |
| tensor<fp16, [128]> model_linear_0_bias_to_fp16 = const()[name = tensor<string, []>("model_linear_0_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1496320)))]; | |
| tensor<fp16, [21, 589, 256]> input_29_cast_fp16 = transpose(perm = input_29_perm_0, x = input_29_batch_first_cast_fp16_0)[name = tensor<string, []>("transpose_0")]; | |
| tensor<fp16, [21, 589, 128]> linear_0_cast_fp16 = linear(bias = model_linear_0_bias_to_fp16, weight = model_linear_0_weight_to_fp16_palettized, x = input_29_cast_fp16)[name = tensor<string, []>("linear_0_cast_fp16")]; | |
| tensor<fp16, [21, 589, 128]> input_33_cast_fp16 = leaky_relu(alpha = var_27, x = linear_0_cast_fp16)[name = tensor<string, []>("input_33_cast_fp16")]; | |
| tensor<fp16, [128, 128]> model_linear_1_weight_to_fp16_palettized = constexpr_lut_to_dense()[indices = tensor<uint8, [16384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1496640))), lut = tensor<fp16, [256]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1513088))), name = tensor<string, []>("model_linear_1_weight_to_fp16_palettized"), shape = tensor<uint32, [2]>([128, 128])]; | |
| tensor<fp16, [128]> model_linear_1_bias_to_fp16 = const()[name = tensor<string, []>("model_linear_1_bias_to_fp16"), val = tensor<fp16, [128]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1513664)))]; | |
| tensor<fp16, [21, 589, 128]> linear_1_cast_fp16 = linear(bias = model_linear_1_bias_to_fp16, weight = model_linear_1_weight_to_fp16_palettized, x = input_33_cast_fp16)[name = tensor<string, []>("linear_1_cast_fp16")]; | |
| tensor<fp16, [21, 589, 128]> input_37_cast_fp16 = leaky_relu(alpha = var_27, x = linear_1_cast_fp16)[name = tensor<string, []>("input_37_cast_fp16")]; | |
| tensor<fp16, [7, 128]> model_classifier_weight_to_fp16 = const()[name = tensor<string, []>("model_classifier_weight_to_fp16"), val = tensor<fp16, [7, 128]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1513984)))]; | |
| tensor<fp16, [7]> model_classifier_bias_to_fp16 = const()[name = tensor<string, []>("model_classifier_bias_to_fp16"), val = tensor<fp16, [7]>([0x1.6a4p+4, -0x1.0dcp+5, 0x1.97cp+3, -0x1.524p+6, 0x1.2acp+5, -0x1.35cp+6, -0x1.128p-3])]; | |
| tensor<fp16, [21, 589, 7]> linear_2_cast_fp16 = linear(bias = model_classifier_bias_to_fp16, weight = model_classifier_weight_to_fp16, x = input_37_cast_fp16)[name = tensor<string, []>("linear_2_cast_fp16")]; | |
| tensor<fp16, []> var_154_promoted_to_fp16 = const()[name = tensor<string, []>("op_154_promoted_to_fp16"), val = tensor<fp16, []>(0x1.9p+5)]; | |
| tensor<fp16, [7]> var_155_cast_fp16 = mul(x = input_1, y = var_154_promoted_to_fp16)[name = tensor<string, []>("op_155_cast_fp16")]; | |
| tensor<fp16, [21, 589, 7]> input_cast_fp16 = sub(x = linear_2_cast_fp16, y = var_155_cast_fp16)[name = tensor<string, []>("input_cast_fp16")]; | |
| tensor<fp16, [21, 589, 7]> powerset_softmax_cast_fp16 = softmax(axis = var_10, x = input_cast_fp16)[name = tensor<string, []>("powerset_softmax_cast_fp16")]; | |
| tensor<fp32, []> powerset_epsilon_0 = const()[name = tensor<string, []>("powerset_epsilon_0"), val = tensor<fp32, []>(0x1p-149)]; | |
| tensor<fp16, [21, 589, 7]> powerset_cast_fp16 = log(epsilon = powerset_epsilon_0, x = powerset_softmax_cast_fp16)[name = tensor<string, []>("powerset_cast_fp16")]; | |
| tensor<fp16, [21, 589, 7]> powerset_probs_1_cast_fp16 = exp(x = powerset_cast_fp16)[name = tensor<string, []>("powerset_probs_1_cast_fp16")]; | |
| tensor<fp16, [3, 7]> transpose_0_to_fp16 = const()[name = tensor<string, []>("transpose_0_to_fp16"), val = tensor<fp16, [3, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1515840)))]; | |
| tensor<fp16, [3]> speaker_probs_bias_0_to_fp16 = const()[name = tensor<string, []>("speaker_probs_bias_0_to_fp16"), val = tensor<fp16, [3]>([0x0p+0, 0x0p+0, 0x0p+0])]; | |
| tensor<fp16, [21, 589, 3]> speaker_probs = linear(bias = speaker_probs_bias_0_to_fp16, weight = transpose_0_to_fp16, x = powerset_probs_1_cast_fp16)[name = tensor<string, []>("speaker_probs_cast_fp16")]; | |
| tensor<int32, []> var_163_axis_0 = const()[name = tensor<string, []>("op_163_axis_0"), val = tensor<int32, []>(-1)]; | |
| tensor<bool, []> var_163_keep_dims_0 = const()[name = tensor<string, []>("op_163_keep_dims_0"), val = tensor<bool, []>(false)]; | |
| tensor<string, []> var_163_output_dtype_0 = const()[name = tensor<string, []>("op_163_output_dtype_0"), val = tensor<string, []>("int32")]; | |
| tensor<int32, [21, 589]> var_163_cast_fp16 = reduce_argmax(axis = var_163_axis_0, keep_dims = var_163_keep_dims_0, output_dtype = var_163_output_dtype_0, x = powerset_cast_fp16)[name = tensor<string, []>("op_163_cast_fp16")]; | |
| tensor<int32, []> var_165_one_hot_vector_size_0 = const()[name = tensor<string, []>("op_165_one_hot_vector_size_0"), val = tensor<int32, []>(7)]; | |
| tensor<int32, []> var_165_axis_0 = const()[name = tensor<string, []>("op_165_axis_0"), val = tensor<int32, []>(-1)]; | |
| tensor<int32, []> var_165_on_value_0 = const()[name = tensor<string, []>("op_165_on_value_0"), val = tensor<int32, []>(1)]; | |
| tensor<int32, []> var_165_off_value_0 = const()[name = tensor<string, []>("op_165_off_value_0"), val = tensor<int32, []>(0)]; | |
| tensor<int32, [21, 589, 7]> var_165 = one_hot(axis = var_165_axis_0, indices = var_163_cast_fp16, off_value = var_165_off_value_0, on_value = var_165_on_value_0, one_hot_vector_size = var_165_one_hot_vector_size_0)[name = tensor<string, []>("op_165")]; | |
| tensor<string, []> cast_2_to_fp16_dtype_0 = const()[name = tensor<string, []>("cast_2_to_fp16_dtype_0"), val = tensor<string, []>("fp16")]; | |
| tensor<fp16, [3, 7]> transpose_1_to_fp16 = const()[name = tensor<string, []>("transpose_1_to_fp16"), val = tensor<fp16, [3, 7]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1515968)))]; | |
| tensor<fp16, [3]> speaker_ids_bias_0_to_fp16 = const()[name = tensor<string, []>("speaker_ids_bias_0_to_fp16"), val = tensor<fp16, [3]>([0x0p+0, 0x0p+0, 0x0p+0])]; | |
| tensor<fp16, [21, 589, 7]> var_165_to_fp16 = cast(dtype = cast_2_to_fp16_dtype_0, x = var_165)[name = tensor<string, []>("cast_1")]; | |
| tensor<fp16, [21, 589, 3]> speaker_ids = linear(bias = speaker_ids_bias_0_to_fp16, weight = transpose_1_to_fp16, x = var_165_to_fp16)[name = tensor<string, []>("speaker_ids_cast_fp16")]; | |
| tensor<int32, [1]> reduce_max_0_axes_0 = const()[name = tensor<string, []>("reduce_max_0_axes_0"), val = tensor<int32, [1]>([-1])]; | |
| tensor<bool, []> reduce_max_0_keep_dims_0 = const()[name = tensor<string, []>("reduce_max_0_keep_dims_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [21, 589]> reduce_max_0_cast_fp16 = reduce_max(axes = reduce_max_0_axes_0, keep_dims = reduce_max_0_keep_dims_0, x = speaker_probs)[name = tensor<string, []>("reduce_max_0_cast_fp16")]; | |
| tensor<int32, [2]> var_206_begin_0 = const()[name = tensor<string, []>("op_206_begin_0"), val = tensor<int32, [2]>([0, 0])]; | |
| tensor<int32, [2]> var_206_end_0 = const()[name = tensor<string, []>("op_206_end_0"), val = tensor<int32, [2]>([1, 589])]; | |
| tensor<bool, [2]> var_206_end_mask_0 = const()[name = tensor<string, []>("op_206_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_206_squeeze_mask_0 = const()[name = tensor<string, []>("op_206_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_206_cast_fp16 = slice_by_index(begin = var_206_begin_0, end = var_206_end_0, end_mask = var_206_end_mask_0, squeeze_mask = var_206_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_206_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_0 = const()[name = tensor<string, []>("slice_by_index_0"), val = tensor<int32, [589]>([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588])]; | |
| tensor<string, []> scatter_0_mode_0 = const()[name = tensor<string, []>("scatter_0_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_0_axis_0 = const()[name = tensor<string, []>("scatter_0_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_0_validate_indices_0 = const()[name = tensor<string, []>("scatter_0_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> _aggregated_voice_activity_to_fp16 = const()[name = tensor<string, []>("_aggregated_voice_activity_to_fp16"), val = tensor<fp16, [1767]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1516096)))]; | |
| tensor<fp16, [1767]> scatter_0_cast_fp16 = scatter(axis = scatter_0_axis_0, data = _aggregated_voice_activity_to_fp16, indices = slice_by_index_0, mode = scatter_0_mode_0, updates = var_206_cast_fp16, validate_indices = scatter_0_validate_indices_0)[name = tensor<string, []>("scatter_0_cast_fp16")]; | |
| tensor<string, []> scatter_1_mode_0 = const()[name = tensor<string, []>("scatter_1_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_1_axis_0 = const()[name = tensor<string, []>("scatter_1_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_1_validate_indices_0 = const()[name = tensor<string, []>("scatter_1_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [589]> var_221_to_fp16 = const()[name = tensor<string, []>("op_221_to_fp16"), val = tensor<fp16, [589]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1519744)))]; | |
| tensor<fp16, [1767]> scatter_1_cast_fp16 = scatter(axis = scatter_1_axis_0, data = _aggregated_voice_activity_to_fp16, indices = slice_by_index_0, mode = scatter_1_mode_0, updates = var_221_to_fp16, validate_indices = scatter_1_validate_indices_0)[name = tensor<string, []>("scatter_1_cast_fp16")]; | |
| tensor<int32, [1]> var_238_begin_0 = const()[name = tensor<string, []>("op_238_begin_0"), val = tensor<int32, [1]>([58])]; | |
| tensor<int32, [1]> var_238_end_0 = const()[name = tensor<string, []>("op_238_end_0"), val = tensor<int32, [1]>([647])]; | |
| tensor<bool, [1]> var_238_end_mask_0 = const()[name = tensor<string, []>("op_238_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_238_cast_fp16 = slice_by_index(begin = var_238_begin_0, end = var_238_end_0, end_mask = var_238_end_mask_0, x = scatter_0_cast_fp16)[name = tensor<string, []>("op_238_cast_fp16")]; | |
| tensor<int32, [2]> var_241_begin_0 = const()[name = tensor<string, []>("op_241_begin_0"), val = tensor<int32, [2]>([1, 0])]; | |
| tensor<int32, [2]> var_241_end_0 = const()[name = tensor<string, []>("op_241_end_0"), val = tensor<int32, [2]>([2, 589])]; | |
| tensor<bool, [2]> var_241_end_mask_0 = const()[name = tensor<string, []>("op_241_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_241_squeeze_mask_0 = const()[name = tensor<string, []>("op_241_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_241_cast_fp16 = slice_by_index(begin = var_241_begin_0, end = var_241_end_0, end_mask = var_241_end_mask_0, squeeze_mask = var_241_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_241_cast_fp16")]; | |
| tensor<fp16, [589]> var_243_cast_fp16 = add(x = var_238_cast_fp16, y = var_241_cast_fp16)[name = tensor<string, []>("op_243_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_2 = const()[name = tensor<string, []>("slice_by_index_2"), val = tensor<int32, [589]>([58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646])]; | |
| tensor<string, []> scatter_2_mode_0 = const()[name = tensor<string, []>("scatter_2_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_2_axis_0 = const()[name = tensor<string, []>("scatter_2_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_2_validate_indices_0 = const()[name = tensor<string, []>("scatter_2_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_2_cast_fp16 = scatter(axis = scatter_2_axis_0, data = scatter_0_cast_fp16, indices = slice_by_index_2, mode = scatter_2_mode_0, updates = var_243_cast_fp16, validate_indices = scatter_2_validate_indices_0)[name = tensor<string, []>("scatter_2_cast_fp16")]; | |
| tensor<int32, [1]> var_253_begin_0 = const()[name = tensor<string, []>("op_253_begin_0"), val = tensor<int32, [1]>([58])]; | |
| tensor<int32, [1]> var_253_end_0 = const()[name = tensor<string, []>("op_253_end_0"), val = tensor<int32, [1]>([647])]; | |
| tensor<bool, [1]> var_253_end_mask_0 = const()[name = tensor<string, []>("op_253_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_253_cast_fp16 = slice_by_index(begin = var_253_begin_0, end = var_253_end_0, end_mask = var_253_end_mask_0, x = scatter_1_cast_fp16)[name = tensor<string, []>("op_253_cast_fp16")]; | |
| tensor<fp16, []> var_254_to_fp16 = const()[name = tensor<string, []>("op_254_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_256_cast_fp16 = add(x = var_253_cast_fp16, y = var_254_to_fp16)[name = tensor<string, []>("op_256_cast_fp16")]; | |
| tensor<string, []> scatter_3_mode_0 = const()[name = tensor<string, []>("scatter_3_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_3_axis_0 = const()[name = tensor<string, []>("scatter_3_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_3_validate_indices_0 = const()[name = tensor<string, []>("scatter_3_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_3_cast_fp16 = scatter(axis = scatter_3_axis_0, data = scatter_1_cast_fp16, indices = slice_by_index_2, mode = scatter_3_mode_0, updates = var_256_cast_fp16, validate_indices = scatter_3_validate_indices_0)[name = tensor<string, []>("scatter_3_cast_fp16")]; | |
| tensor<int32, [1]> var_273_begin_0 = const()[name = tensor<string, []>("op_273_begin_0"), val = tensor<int32, [1]>([117])]; | |
| tensor<int32, [1]> var_273_end_0 = const()[name = tensor<string, []>("op_273_end_0"), val = tensor<int32, [1]>([706])]; | |
| tensor<bool, [1]> var_273_end_mask_0 = const()[name = tensor<string, []>("op_273_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_273_cast_fp16 = slice_by_index(begin = var_273_begin_0, end = var_273_end_0, end_mask = var_273_end_mask_0, x = scatter_2_cast_fp16)[name = tensor<string, []>("op_273_cast_fp16")]; | |
| tensor<int32, [2]> var_276_begin_0 = const()[name = tensor<string, []>("op_276_begin_0"), val = tensor<int32, [2]>([2, 0])]; | |
| tensor<int32, [2]> var_276_end_0 = const()[name = tensor<string, []>("op_276_end_0"), val = tensor<int32, [2]>([3, 589])]; | |
| tensor<bool, [2]> var_276_end_mask_0 = const()[name = tensor<string, []>("op_276_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_276_squeeze_mask_0 = const()[name = tensor<string, []>("op_276_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_276_cast_fp16 = slice_by_index(begin = var_276_begin_0, end = var_276_end_0, end_mask = var_276_end_mask_0, squeeze_mask = var_276_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_276_cast_fp16")]; | |
| tensor<fp16, [589]> var_278_cast_fp16 = add(x = var_273_cast_fp16, y = var_276_cast_fp16)[name = tensor<string, []>("op_278_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_4 = const()[name = tensor<string, []>("slice_by_index_4"), val = tensor<int32, [589]>([117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705])]; | |
| tensor<string, []> scatter_4_mode_0 = const()[name = tensor<string, []>("scatter_4_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_4_axis_0 = const()[name = tensor<string, []>("scatter_4_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_4_validate_indices_0 = const()[name = tensor<string, []>("scatter_4_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_4_cast_fp16 = scatter(axis = scatter_4_axis_0, data = scatter_2_cast_fp16, indices = slice_by_index_4, mode = scatter_4_mode_0, updates = var_278_cast_fp16, validate_indices = scatter_4_validate_indices_0)[name = tensor<string, []>("scatter_4_cast_fp16")]; | |
| tensor<int32, [1]> var_288_begin_0 = const()[name = tensor<string, []>("op_288_begin_0"), val = tensor<int32, [1]>([117])]; | |
| tensor<int32, [1]> var_288_end_0 = const()[name = tensor<string, []>("op_288_end_0"), val = tensor<int32, [1]>([706])]; | |
| tensor<bool, [1]> var_288_end_mask_0 = const()[name = tensor<string, []>("op_288_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_288_cast_fp16 = slice_by_index(begin = var_288_begin_0, end = var_288_end_0, end_mask = var_288_end_mask_0, x = scatter_3_cast_fp16)[name = tensor<string, []>("op_288_cast_fp16")]; | |
| tensor<fp16, []> var_289_to_fp16 = const()[name = tensor<string, []>("op_289_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_291_cast_fp16 = add(x = var_288_cast_fp16, y = var_289_to_fp16)[name = tensor<string, []>("op_291_cast_fp16")]; | |
| tensor<string, []> scatter_5_mode_0 = const()[name = tensor<string, []>("scatter_5_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_5_axis_0 = const()[name = tensor<string, []>("scatter_5_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_5_validate_indices_0 = const()[name = tensor<string, []>("scatter_5_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_5_cast_fp16 = scatter(axis = scatter_5_axis_0, data = scatter_3_cast_fp16, indices = slice_by_index_4, mode = scatter_5_mode_0, updates = var_291_cast_fp16, validate_indices = scatter_5_validate_indices_0)[name = tensor<string, []>("scatter_5_cast_fp16")]; | |
| tensor<int32, [1]> var_308_begin_0 = const()[name = tensor<string, []>("op_308_begin_0"), val = tensor<int32, [1]>([176])]; | |
| tensor<int32, [1]> var_308_end_0 = const()[name = tensor<string, []>("op_308_end_0"), val = tensor<int32, [1]>([765])]; | |
| tensor<bool, [1]> var_308_end_mask_0 = const()[name = tensor<string, []>("op_308_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_308_cast_fp16 = slice_by_index(begin = var_308_begin_0, end = var_308_end_0, end_mask = var_308_end_mask_0, x = scatter_4_cast_fp16)[name = tensor<string, []>("op_308_cast_fp16")]; | |
| tensor<int32, [2]> var_311_begin_0 = const()[name = tensor<string, []>("op_311_begin_0"), val = tensor<int32, [2]>([3, 0])]; | |
| tensor<int32, [2]> var_311_end_0 = const()[name = tensor<string, []>("op_311_end_0"), val = tensor<int32, [2]>([4, 589])]; | |
| tensor<bool, [2]> var_311_end_mask_0 = const()[name = tensor<string, []>("op_311_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_311_squeeze_mask_0 = const()[name = tensor<string, []>("op_311_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_311_cast_fp16 = slice_by_index(begin = var_311_begin_0, end = var_311_end_0, end_mask = var_311_end_mask_0, squeeze_mask = var_311_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_311_cast_fp16")]; | |
| tensor<fp16, [589]> var_313_cast_fp16 = add(x = var_308_cast_fp16, y = var_311_cast_fp16)[name = tensor<string, []>("op_313_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_6 = const()[name = tensor<string, []>("slice_by_index_6"), val = tensor<int32, [589]>([176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764])]; | |
| tensor<string, []> scatter_6_mode_0 = const()[name = tensor<string, []>("scatter_6_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_6_axis_0 = const()[name = tensor<string, []>("scatter_6_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_6_validate_indices_0 = const()[name = tensor<string, []>("scatter_6_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_6_cast_fp16 = scatter(axis = scatter_6_axis_0, data = scatter_4_cast_fp16, indices = slice_by_index_6, mode = scatter_6_mode_0, updates = var_313_cast_fp16, validate_indices = scatter_6_validate_indices_0)[name = tensor<string, []>("scatter_6_cast_fp16")]; | |
| tensor<int32, [1]> var_323_begin_0 = const()[name = tensor<string, []>("op_323_begin_0"), val = tensor<int32, [1]>([176])]; | |
| tensor<int32, [1]> var_323_end_0 = const()[name = tensor<string, []>("op_323_end_0"), val = tensor<int32, [1]>([765])]; | |
| tensor<bool, [1]> var_323_end_mask_0 = const()[name = tensor<string, []>("op_323_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_323_cast_fp16 = slice_by_index(begin = var_323_begin_0, end = var_323_end_0, end_mask = var_323_end_mask_0, x = scatter_5_cast_fp16)[name = tensor<string, []>("op_323_cast_fp16")]; | |
| tensor<fp16, []> var_324_to_fp16 = const()[name = tensor<string, []>("op_324_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_326_cast_fp16 = add(x = var_323_cast_fp16, y = var_324_to_fp16)[name = tensor<string, []>("op_326_cast_fp16")]; | |
| tensor<string, []> scatter_7_mode_0 = const()[name = tensor<string, []>("scatter_7_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_7_axis_0 = const()[name = tensor<string, []>("scatter_7_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_7_validate_indices_0 = const()[name = tensor<string, []>("scatter_7_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_7_cast_fp16 = scatter(axis = scatter_7_axis_0, data = scatter_5_cast_fp16, indices = slice_by_index_6, mode = scatter_7_mode_0, updates = var_326_cast_fp16, validate_indices = scatter_7_validate_indices_0)[name = tensor<string, []>("scatter_7_cast_fp16")]; | |
| tensor<int32, [1]> var_343_begin_0 = const()[name = tensor<string, []>("op_343_begin_0"), val = tensor<int32, [1]>([235])]; | |
| tensor<int32, [1]> var_343_end_0 = const()[name = tensor<string, []>("op_343_end_0"), val = tensor<int32, [1]>([824])]; | |
| tensor<bool, [1]> var_343_end_mask_0 = const()[name = tensor<string, []>("op_343_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_343_cast_fp16 = slice_by_index(begin = var_343_begin_0, end = var_343_end_0, end_mask = var_343_end_mask_0, x = scatter_6_cast_fp16)[name = tensor<string, []>("op_343_cast_fp16")]; | |
| tensor<int32, [2]> var_346_begin_0 = const()[name = tensor<string, []>("op_346_begin_0"), val = tensor<int32, [2]>([4, 0])]; | |
| tensor<int32, [2]> var_346_end_0 = const()[name = tensor<string, []>("op_346_end_0"), val = tensor<int32, [2]>([5, 589])]; | |
| tensor<bool, [2]> var_346_end_mask_0 = const()[name = tensor<string, []>("op_346_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_346_squeeze_mask_0 = const()[name = tensor<string, []>("op_346_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_346_cast_fp16 = slice_by_index(begin = var_346_begin_0, end = var_346_end_0, end_mask = var_346_end_mask_0, squeeze_mask = var_346_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_346_cast_fp16")]; | |
| tensor<fp16, [589]> var_348_cast_fp16 = add(x = var_343_cast_fp16, y = var_346_cast_fp16)[name = tensor<string, []>("op_348_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_8 = const()[name = tensor<string, []>("slice_by_index_8"), val = tensor<int32, [589]>([235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823])]; | |
| tensor<string, []> scatter_8_mode_0 = const()[name = tensor<string, []>("scatter_8_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_8_axis_0 = const()[name = tensor<string, []>("scatter_8_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_8_validate_indices_0 = const()[name = tensor<string, []>("scatter_8_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_8_cast_fp16 = scatter(axis = scatter_8_axis_0, data = scatter_6_cast_fp16, indices = slice_by_index_8, mode = scatter_8_mode_0, updates = var_348_cast_fp16, validate_indices = scatter_8_validate_indices_0)[name = tensor<string, []>("scatter_8_cast_fp16")]; | |
| tensor<int32, [1]> var_358_begin_0 = const()[name = tensor<string, []>("op_358_begin_0"), val = tensor<int32, [1]>([235])]; | |
| tensor<int32, [1]> var_358_end_0 = const()[name = tensor<string, []>("op_358_end_0"), val = tensor<int32, [1]>([824])]; | |
| tensor<bool, [1]> var_358_end_mask_0 = const()[name = tensor<string, []>("op_358_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_358_cast_fp16 = slice_by_index(begin = var_358_begin_0, end = var_358_end_0, end_mask = var_358_end_mask_0, x = scatter_7_cast_fp16)[name = tensor<string, []>("op_358_cast_fp16")]; | |
| tensor<fp16, []> var_359_to_fp16 = const()[name = tensor<string, []>("op_359_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_361_cast_fp16 = add(x = var_358_cast_fp16, y = var_359_to_fp16)[name = tensor<string, []>("op_361_cast_fp16")]; | |
| tensor<string, []> scatter_9_mode_0 = const()[name = tensor<string, []>("scatter_9_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_9_axis_0 = const()[name = tensor<string, []>("scatter_9_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_9_validate_indices_0 = const()[name = tensor<string, []>("scatter_9_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_9_cast_fp16 = scatter(axis = scatter_9_axis_0, data = scatter_7_cast_fp16, indices = slice_by_index_8, mode = scatter_9_mode_0, updates = var_361_cast_fp16, validate_indices = scatter_9_validate_indices_0)[name = tensor<string, []>("scatter_9_cast_fp16")]; | |
| tensor<int32, [1]> var_378_begin_0 = const()[name = tensor<string, []>("op_378_begin_0"), val = tensor<int32, [1]>([294])]; | |
| tensor<int32, [1]> var_378_end_0 = const()[name = tensor<string, []>("op_378_end_0"), val = tensor<int32, [1]>([883])]; | |
| tensor<bool, [1]> var_378_end_mask_0 = const()[name = tensor<string, []>("op_378_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_378_cast_fp16 = slice_by_index(begin = var_378_begin_0, end = var_378_end_0, end_mask = var_378_end_mask_0, x = scatter_8_cast_fp16)[name = tensor<string, []>("op_378_cast_fp16")]; | |
| tensor<int32, [2]> var_381_begin_0 = const()[name = tensor<string, []>("op_381_begin_0"), val = tensor<int32, [2]>([5, 0])]; | |
| tensor<int32, [2]> var_381_end_0 = const()[name = tensor<string, []>("op_381_end_0"), val = tensor<int32, [2]>([6, 589])]; | |
| tensor<bool, [2]> var_381_end_mask_0 = const()[name = tensor<string, []>("op_381_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_381_squeeze_mask_0 = const()[name = tensor<string, []>("op_381_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_381_cast_fp16 = slice_by_index(begin = var_381_begin_0, end = var_381_end_0, end_mask = var_381_end_mask_0, squeeze_mask = var_381_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_381_cast_fp16")]; | |
| tensor<fp16, [589]> var_383_cast_fp16 = add(x = var_378_cast_fp16, y = var_381_cast_fp16)[name = tensor<string, []>("op_383_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_10 = const()[name = tensor<string, []>("slice_by_index_10"), val = tensor<int32, [589]>([294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882])]; | |
| tensor<string, []> scatter_10_mode_0 = const()[name = tensor<string, []>("scatter_10_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_10_axis_0 = const()[name = tensor<string, []>("scatter_10_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_10_validate_indices_0 = const()[name = tensor<string, []>("scatter_10_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_10_cast_fp16 = scatter(axis = scatter_10_axis_0, data = scatter_8_cast_fp16, indices = slice_by_index_10, mode = scatter_10_mode_0, updates = var_383_cast_fp16, validate_indices = scatter_10_validate_indices_0)[name = tensor<string, []>("scatter_10_cast_fp16")]; | |
| tensor<int32, [1]> var_393_begin_0 = const()[name = tensor<string, []>("op_393_begin_0"), val = tensor<int32, [1]>([294])]; | |
| tensor<int32, [1]> var_393_end_0 = const()[name = tensor<string, []>("op_393_end_0"), val = tensor<int32, [1]>([883])]; | |
| tensor<bool, [1]> var_393_end_mask_0 = const()[name = tensor<string, []>("op_393_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_393_cast_fp16 = slice_by_index(begin = var_393_begin_0, end = var_393_end_0, end_mask = var_393_end_mask_0, x = scatter_9_cast_fp16)[name = tensor<string, []>("op_393_cast_fp16")]; | |
| tensor<fp16, []> var_394_to_fp16 = const()[name = tensor<string, []>("op_394_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_396_cast_fp16 = add(x = var_393_cast_fp16, y = var_394_to_fp16)[name = tensor<string, []>("op_396_cast_fp16")]; | |
| tensor<string, []> scatter_11_mode_0 = const()[name = tensor<string, []>("scatter_11_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_11_axis_0 = const()[name = tensor<string, []>("scatter_11_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_11_validate_indices_0 = const()[name = tensor<string, []>("scatter_11_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_11_cast_fp16 = scatter(axis = scatter_11_axis_0, data = scatter_9_cast_fp16, indices = slice_by_index_10, mode = scatter_11_mode_0, updates = var_396_cast_fp16, validate_indices = scatter_11_validate_indices_0)[name = tensor<string, []>("scatter_11_cast_fp16")]; | |
| tensor<int32, [1]> var_413_begin_0 = const()[name = tensor<string, []>("op_413_begin_0"), val = tensor<int32, [1]>([353])]; | |
| tensor<int32, [1]> var_413_end_0 = const()[name = tensor<string, []>("op_413_end_0"), val = tensor<int32, [1]>([942])]; | |
| tensor<bool, [1]> var_413_end_mask_0 = const()[name = tensor<string, []>("op_413_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_413_cast_fp16 = slice_by_index(begin = var_413_begin_0, end = var_413_end_0, end_mask = var_413_end_mask_0, x = scatter_10_cast_fp16)[name = tensor<string, []>("op_413_cast_fp16")]; | |
| tensor<int32, [2]> var_416_begin_0 = const()[name = tensor<string, []>("op_416_begin_0"), val = tensor<int32, [2]>([6, 0])]; | |
| tensor<int32, [2]> var_416_end_0 = const()[name = tensor<string, []>("op_416_end_0"), val = tensor<int32, [2]>([7, 589])]; | |
| tensor<bool, [2]> var_416_end_mask_0 = const()[name = tensor<string, []>("op_416_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_416_squeeze_mask_0 = const()[name = tensor<string, []>("op_416_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_416_cast_fp16 = slice_by_index(begin = var_416_begin_0, end = var_416_end_0, end_mask = var_416_end_mask_0, squeeze_mask = var_416_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_416_cast_fp16")]; | |
| tensor<fp16, [589]> var_418_cast_fp16 = add(x = var_413_cast_fp16, y = var_416_cast_fp16)[name = tensor<string, []>("op_418_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_12 = const()[name = tensor<string, []>("slice_by_index_12"), val = tensor<int32, [589]>([353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941])]; | |
| tensor<string, []> scatter_12_mode_0 = const()[name = tensor<string, []>("scatter_12_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_12_axis_0 = const()[name = tensor<string, []>("scatter_12_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_12_validate_indices_0 = const()[name = tensor<string, []>("scatter_12_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_12_cast_fp16 = scatter(axis = scatter_12_axis_0, data = scatter_10_cast_fp16, indices = slice_by_index_12, mode = scatter_12_mode_0, updates = var_418_cast_fp16, validate_indices = scatter_12_validate_indices_0)[name = tensor<string, []>("scatter_12_cast_fp16")]; | |
| tensor<int32, [1]> var_428_begin_0 = const()[name = tensor<string, []>("op_428_begin_0"), val = tensor<int32, [1]>([353])]; | |
| tensor<int32, [1]> var_428_end_0 = const()[name = tensor<string, []>("op_428_end_0"), val = tensor<int32, [1]>([942])]; | |
| tensor<bool, [1]> var_428_end_mask_0 = const()[name = tensor<string, []>("op_428_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_428_cast_fp16 = slice_by_index(begin = var_428_begin_0, end = var_428_end_0, end_mask = var_428_end_mask_0, x = scatter_11_cast_fp16)[name = tensor<string, []>("op_428_cast_fp16")]; | |
| tensor<fp16, []> var_429_to_fp16 = const()[name = tensor<string, []>("op_429_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_431_cast_fp16 = add(x = var_428_cast_fp16, y = var_429_to_fp16)[name = tensor<string, []>("op_431_cast_fp16")]; | |
| tensor<string, []> scatter_13_mode_0 = const()[name = tensor<string, []>("scatter_13_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_13_axis_0 = const()[name = tensor<string, []>("scatter_13_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_13_validate_indices_0 = const()[name = tensor<string, []>("scatter_13_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_13_cast_fp16 = scatter(axis = scatter_13_axis_0, data = scatter_11_cast_fp16, indices = slice_by_index_12, mode = scatter_13_mode_0, updates = var_431_cast_fp16, validate_indices = scatter_13_validate_indices_0)[name = tensor<string, []>("scatter_13_cast_fp16")]; | |
| tensor<int32, [1]> var_448_begin_0 = const()[name = tensor<string, []>("op_448_begin_0"), val = tensor<int32, [1]>([412])]; | |
| tensor<int32, [1]> var_448_end_0 = const()[name = tensor<string, []>("op_448_end_0"), val = tensor<int32, [1]>([1001])]; | |
| tensor<bool, [1]> var_448_end_mask_0 = const()[name = tensor<string, []>("op_448_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_448_cast_fp16 = slice_by_index(begin = var_448_begin_0, end = var_448_end_0, end_mask = var_448_end_mask_0, x = scatter_12_cast_fp16)[name = tensor<string, []>("op_448_cast_fp16")]; | |
| tensor<int32, [2]> var_451_begin_0 = const()[name = tensor<string, []>("op_451_begin_0"), val = tensor<int32, [2]>([7, 0])]; | |
| tensor<int32, [2]> var_451_end_0 = const()[name = tensor<string, []>("op_451_end_0"), val = tensor<int32, [2]>([8, 589])]; | |
| tensor<bool, [2]> var_451_end_mask_0 = const()[name = tensor<string, []>("op_451_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_451_squeeze_mask_0 = const()[name = tensor<string, []>("op_451_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_451_cast_fp16 = slice_by_index(begin = var_451_begin_0, end = var_451_end_0, end_mask = var_451_end_mask_0, squeeze_mask = var_451_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_451_cast_fp16")]; | |
| tensor<fp16, [589]> var_453_cast_fp16 = add(x = var_448_cast_fp16, y = var_451_cast_fp16)[name = tensor<string, []>("op_453_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_14 = const()[name = tensor<string, []>("slice_by_index_14"), val = tensor<int32, [589]>([412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000])]; | |
| tensor<string, []> scatter_14_mode_0 = const()[name = tensor<string, []>("scatter_14_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_14_axis_0 = const()[name = tensor<string, []>("scatter_14_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_14_validate_indices_0 = const()[name = tensor<string, []>("scatter_14_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_14_cast_fp16 = scatter(axis = scatter_14_axis_0, data = scatter_12_cast_fp16, indices = slice_by_index_14, mode = scatter_14_mode_0, updates = var_453_cast_fp16, validate_indices = scatter_14_validate_indices_0)[name = tensor<string, []>("scatter_14_cast_fp16")]; | |
| tensor<int32, [1]> var_463_begin_0 = const()[name = tensor<string, []>("op_463_begin_0"), val = tensor<int32, [1]>([412])]; | |
| tensor<int32, [1]> var_463_end_0 = const()[name = tensor<string, []>("op_463_end_0"), val = tensor<int32, [1]>([1001])]; | |
| tensor<bool, [1]> var_463_end_mask_0 = const()[name = tensor<string, []>("op_463_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_463_cast_fp16 = slice_by_index(begin = var_463_begin_0, end = var_463_end_0, end_mask = var_463_end_mask_0, x = scatter_13_cast_fp16)[name = tensor<string, []>("op_463_cast_fp16")]; | |
| tensor<fp16, []> var_464_to_fp16 = const()[name = tensor<string, []>("op_464_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_466_cast_fp16 = add(x = var_463_cast_fp16, y = var_464_to_fp16)[name = tensor<string, []>("op_466_cast_fp16")]; | |
| tensor<string, []> scatter_15_mode_0 = const()[name = tensor<string, []>("scatter_15_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_15_axis_0 = const()[name = tensor<string, []>("scatter_15_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_15_validate_indices_0 = const()[name = tensor<string, []>("scatter_15_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_15_cast_fp16 = scatter(axis = scatter_15_axis_0, data = scatter_13_cast_fp16, indices = slice_by_index_14, mode = scatter_15_mode_0, updates = var_466_cast_fp16, validate_indices = scatter_15_validate_indices_0)[name = tensor<string, []>("scatter_15_cast_fp16")]; | |
| tensor<int32, [1]> var_483_begin_0 = const()[name = tensor<string, []>("op_483_begin_0"), val = tensor<int32, [1]>([471])]; | |
| tensor<int32, [1]> var_483_end_0 = const()[name = tensor<string, []>("op_483_end_0"), val = tensor<int32, [1]>([1060])]; | |
| tensor<bool, [1]> var_483_end_mask_0 = const()[name = tensor<string, []>("op_483_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_483_cast_fp16 = slice_by_index(begin = var_483_begin_0, end = var_483_end_0, end_mask = var_483_end_mask_0, x = scatter_14_cast_fp16)[name = tensor<string, []>("op_483_cast_fp16")]; | |
| tensor<int32, [2]> var_486_begin_0 = const()[name = tensor<string, []>("op_486_begin_0"), val = tensor<int32, [2]>([8, 0])]; | |
| tensor<int32, [2]> var_486_end_0 = const()[name = tensor<string, []>("op_486_end_0"), val = tensor<int32, [2]>([9, 589])]; | |
| tensor<bool, [2]> var_486_end_mask_0 = const()[name = tensor<string, []>("op_486_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_486_squeeze_mask_0 = const()[name = tensor<string, []>("op_486_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_486_cast_fp16 = slice_by_index(begin = var_486_begin_0, end = var_486_end_0, end_mask = var_486_end_mask_0, squeeze_mask = var_486_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_486_cast_fp16")]; | |
| tensor<fp16, [589]> var_488_cast_fp16 = add(x = var_483_cast_fp16, y = var_486_cast_fp16)[name = tensor<string, []>("op_488_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_16 = const()[name = tensor<string, []>("slice_by_index_16"), val = tensor<int32, [589]>([471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059])]; | |
| tensor<string, []> scatter_16_mode_0 = const()[name = tensor<string, []>("scatter_16_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_16_axis_0 = const()[name = tensor<string, []>("scatter_16_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_16_validate_indices_0 = const()[name = tensor<string, []>("scatter_16_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_16_cast_fp16 = scatter(axis = scatter_16_axis_0, data = scatter_14_cast_fp16, indices = slice_by_index_16, mode = scatter_16_mode_0, updates = var_488_cast_fp16, validate_indices = scatter_16_validate_indices_0)[name = tensor<string, []>("scatter_16_cast_fp16")]; | |
| tensor<int32, [1]> var_498_begin_0 = const()[name = tensor<string, []>("op_498_begin_0"), val = tensor<int32, [1]>([471])]; | |
| tensor<int32, [1]> var_498_end_0 = const()[name = tensor<string, []>("op_498_end_0"), val = tensor<int32, [1]>([1060])]; | |
| tensor<bool, [1]> var_498_end_mask_0 = const()[name = tensor<string, []>("op_498_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_498_cast_fp16 = slice_by_index(begin = var_498_begin_0, end = var_498_end_0, end_mask = var_498_end_mask_0, x = scatter_15_cast_fp16)[name = tensor<string, []>("op_498_cast_fp16")]; | |
| tensor<fp16, []> var_499_to_fp16 = const()[name = tensor<string, []>("op_499_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_501_cast_fp16 = add(x = var_498_cast_fp16, y = var_499_to_fp16)[name = tensor<string, []>("op_501_cast_fp16")]; | |
| tensor<string, []> scatter_17_mode_0 = const()[name = tensor<string, []>("scatter_17_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_17_axis_0 = const()[name = tensor<string, []>("scatter_17_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_17_validate_indices_0 = const()[name = tensor<string, []>("scatter_17_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_17_cast_fp16 = scatter(axis = scatter_17_axis_0, data = scatter_15_cast_fp16, indices = slice_by_index_16, mode = scatter_17_mode_0, updates = var_501_cast_fp16, validate_indices = scatter_17_validate_indices_0)[name = tensor<string, []>("scatter_17_cast_fp16")]; | |
| tensor<int32, [1]> var_518_begin_0 = const()[name = tensor<string, []>("op_518_begin_0"), val = tensor<int32, [1]>([530])]; | |
| tensor<int32, [1]> var_518_end_0 = const()[name = tensor<string, []>("op_518_end_0"), val = tensor<int32, [1]>([1119])]; | |
| tensor<bool, [1]> var_518_end_mask_0 = const()[name = tensor<string, []>("op_518_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_518_cast_fp16 = slice_by_index(begin = var_518_begin_0, end = var_518_end_0, end_mask = var_518_end_mask_0, x = scatter_16_cast_fp16)[name = tensor<string, []>("op_518_cast_fp16")]; | |
| tensor<int32, [2]> var_521_begin_0 = const()[name = tensor<string, []>("op_521_begin_0"), val = tensor<int32, [2]>([9, 0])]; | |
| tensor<int32, [2]> var_521_end_0 = const()[name = tensor<string, []>("op_521_end_0"), val = tensor<int32, [2]>([10, 589])]; | |
| tensor<bool, [2]> var_521_end_mask_0 = const()[name = tensor<string, []>("op_521_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_521_squeeze_mask_0 = const()[name = tensor<string, []>("op_521_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_521_cast_fp16 = slice_by_index(begin = var_521_begin_0, end = var_521_end_0, end_mask = var_521_end_mask_0, squeeze_mask = var_521_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_521_cast_fp16")]; | |
| tensor<fp16, [589]> var_523_cast_fp16 = add(x = var_518_cast_fp16, y = var_521_cast_fp16)[name = tensor<string, []>("op_523_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_18 = const()[name = tensor<string, []>("slice_by_index_18"), val = tensor<int32, [589]>([530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118])]; | |
| tensor<string, []> scatter_18_mode_0 = const()[name = tensor<string, []>("scatter_18_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_18_axis_0 = const()[name = tensor<string, []>("scatter_18_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_18_validate_indices_0 = const()[name = tensor<string, []>("scatter_18_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_18_cast_fp16 = scatter(axis = scatter_18_axis_0, data = scatter_16_cast_fp16, indices = slice_by_index_18, mode = scatter_18_mode_0, updates = var_523_cast_fp16, validate_indices = scatter_18_validate_indices_0)[name = tensor<string, []>("scatter_18_cast_fp16")]; | |
| tensor<int32, [1]> var_533_begin_0 = const()[name = tensor<string, []>("op_533_begin_0"), val = tensor<int32, [1]>([530])]; | |
| tensor<int32, [1]> var_533_end_0 = const()[name = tensor<string, []>("op_533_end_0"), val = tensor<int32, [1]>([1119])]; | |
| tensor<bool, [1]> var_533_end_mask_0 = const()[name = tensor<string, []>("op_533_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_533_cast_fp16 = slice_by_index(begin = var_533_begin_0, end = var_533_end_0, end_mask = var_533_end_mask_0, x = scatter_17_cast_fp16)[name = tensor<string, []>("op_533_cast_fp16")]; | |
| tensor<fp16, []> var_534_to_fp16 = const()[name = tensor<string, []>("op_534_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_536_cast_fp16 = add(x = var_533_cast_fp16, y = var_534_to_fp16)[name = tensor<string, []>("op_536_cast_fp16")]; | |
| tensor<string, []> scatter_19_mode_0 = const()[name = tensor<string, []>("scatter_19_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_19_axis_0 = const()[name = tensor<string, []>("scatter_19_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_19_validate_indices_0 = const()[name = tensor<string, []>("scatter_19_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_19_cast_fp16 = scatter(axis = scatter_19_axis_0, data = scatter_17_cast_fp16, indices = slice_by_index_18, mode = scatter_19_mode_0, updates = var_536_cast_fp16, validate_indices = scatter_19_validate_indices_0)[name = tensor<string, []>("scatter_19_cast_fp16")]; | |
| tensor<int32, [1]> var_553_begin_0 = const()[name = tensor<string, []>("op_553_begin_0"), val = tensor<int32, [1]>([589])]; | |
| tensor<int32, [1]> var_553_end_0 = const()[name = tensor<string, []>("op_553_end_0"), val = tensor<int32, [1]>([1178])]; | |
| tensor<bool, [1]> var_553_end_mask_0 = const()[name = tensor<string, []>("op_553_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_553_cast_fp16 = slice_by_index(begin = var_553_begin_0, end = var_553_end_0, end_mask = var_553_end_mask_0, x = scatter_18_cast_fp16)[name = tensor<string, []>("op_553_cast_fp16")]; | |
| tensor<int32, [2]> var_556_begin_0 = const()[name = tensor<string, []>("op_556_begin_0"), val = tensor<int32, [2]>([10, 0])]; | |
| tensor<int32, [2]> var_556_end_0 = const()[name = tensor<string, []>("op_556_end_0"), val = tensor<int32, [2]>([11, 589])]; | |
| tensor<bool, [2]> var_556_end_mask_0 = const()[name = tensor<string, []>("op_556_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_556_squeeze_mask_0 = const()[name = tensor<string, []>("op_556_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_556_cast_fp16 = slice_by_index(begin = var_556_begin_0, end = var_556_end_0, end_mask = var_556_end_mask_0, squeeze_mask = var_556_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_556_cast_fp16")]; | |
| tensor<fp16, [589]> var_558_cast_fp16 = add(x = var_553_cast_fp16, y = var_556_cast_fp16)[name = tensor<string, []>("op_558_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_20 = const()[name = tensor<string, []>("slice_by_index_20"), val = tensor<int32, [589]>([589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177])]; | |
| tensor<string, []> scatter_20_mode_0 = const()[name = tensor<string, []>("scatter_20_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_20_axis_0 = const()[name = tensor<string, []>("scatter_20_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_20_validate_indices_0 = const()[name = tensor<string, []>("scatter_20_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_20_cast_fp16 = scatter(axis = scatter_20_axis_0, data = scatter_18_cast_fp16, indices = slice_by_index_20, mode = scatter_20_mode_0, updates = var_558_cast_fp16, validate_indices = scatter_20_validate_indices_0)[name = tensor<string, []>("scatter_20_cast_fp16")]; | |
| tensor<int32, [1]> var_568_begin_0 = const()[name = tensor<string, []>("op_568_begin_0"), val = tensor<int32, [1]>([589])]; | |
| tensor<int32, [1]> var_568_end_0 = const()[name = tensor<string, []>("op_568_end_0"), val = tensor<int32, [1]>([1178])]; | |
| tensor<bool, [1]> var_568_end_mask_0 = const()[name = tensor<string, []>("op_568_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_568_cast_fp16 = slice_by_index(begin = var_568_begin_0, end = var_568_end_0, end_mask = var_568_end_mask_0, x = scatter_19_cast_fp16)[name = tensor<string, []>("op_568_cast_fp16")]; | |
| tensor<fp16, []> var_569_to_fp16 = const()[name = tensor<string, []>("op_569_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_571_cast_fp16 = add(x = var_568_cast_fp16, y = var_569_to_fp16)[name = tensor<string, []>("op_571_cast_fp16")]; | |
| tensor<string, []> scatter_21_mode_0 = const()[name = tensor<string, []>("scatter_21_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_21_axis_0 = const()[name = tensor<string, []>("scatter_21_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_21_validate_indices_0 = const()[name = tensor<string, []>("scatter_21_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_21_cast_fp16 = scatter(axis = scatter_21_axis_0, data = scatter_19_cast_fp16, indices = slice_by_index_20, mode = scatter_21_mode_0, updates = var_571_cast_fp16, validate_indices = scatter_21_validate_indices_0)[name = tensor<string, []>("scatter_21_cast_fp16")]; | |
| tensor<int32, [1]> var_588_begin_0 = const()[name = tensor<string, []>("op_588_begin_0"), val = tensor<int32, [1]>([647])]; | |
| tensor<int32, [1]> var_588_end_0 = const()[name = tensor<string, []>("op_588_end_0"), val = tensor<int32, [1]>([1236])]; | |
| tensor<bool, [1]> var_588_end_mask_0 = const()[name = tensor<string, []>("op_588_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_588_cast_fp16 = slice_by_index(begin = var_588_begin_0, end = var_588_end_0, end_mask = var_588_end_mask_0, x = scatter_20_cast_fp16)[name = tensor<string, []>("op_588_cast_fp16")]; | |
| tensor<int32, [2]> var_591_begin_0 = const()[name = tensor<string, []>("op_591_begin_0"), val = tensor<int32, [2]>([11, 0])]; | |
| tensor<int32, [2]> var_591_end_0 = const()[name = tensor<string, []>("op_591_end_0"), val = tensor<int32, [2]>([12, 589])]; | |
| tensor<bool, [2]> var_591_end_mask_0 = const()[name = tensor<string, []>("op_591_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_591_squeeze_mask_0 = const()[name = tensor<string, []>("op_591_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_591_cast_fp16 = slice_by_index(begin = var_591_begin_0, end = var_591_end_0, end_mask = var_591_end_mask_0, squeeze_mask = var_591_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_591_cast_fp16")]; | |
| tensor<fp16, [589]> var_593_cast_fp16 = add(x = var_588_cast_fp16, y = var_591_cast_fp16)[name = tensor<string, []>("op_593_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_22 = const()[name = tensor<string, []>("slice_by_index_22"), val = tensor<int32, [589]>([647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235])]; | |
| tensor<string, []> scatter_22_mode_0 = const()[name = tensor<string, []>("scatter_22_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_22_axis_0 = const()[name = tensor<string, []>("scatter_22_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_22_validate_indices_0 = const()[name = tensor<string, []>("scatter_22_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_22_cast_fp16 = scatter(axis = scatter_22_axis_0, data = scatter_20_cast_fp16, indices = slice_by_index_22, mode = scatter_22_mode_0, updates = var_593_cast_fp16, validate_indices = scatter_22_validate_indices_0)[name = tensor<string, []>("scatter_22_cast_fp16")]; | |
| tensor<int32, [1]> var_603_begin_0 = const()[name = tensor<string, []>("op_603_begin_0"), val = tensor<int32, [1]>([647])]; | |
| tensor<int32, [1]> var_603_end_0 = const()[name = tensor<string, []>("op_603_end_0"), val = tensor<int32, [1]>([1236])]; | |
| tensor<bool, [1]> var_603_end_mask_0 = const()[name = tensor<string, []>("op_603_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_603_cast_fp16 = slice_by_index(begin = var_603_begin_0, end = var_603_end_0, end_mask = var_603_end_mask_0, x = scatter_21_cast_fp16)[name = tensor<string, []>("op_603_cast_fp16")]; | |
| tensor<fp16, []> var_604_to_fp16 = const()[name = tensor<string, []>("op_604_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_606_cast_fp16 = add(x = var_603_cast_fp16, y = var_604_to_fp16)[name = tensor<string, []>("op_606_cast_fp16")]; | |
| tensor<string, []> scatter_23_mode_0 = const()[name = tensor<string, []>("scatter_23_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_23_axis_0 = const()[name = tensor<string, []>("scatter_23_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_23_validate_indices_0 = const()[name = tensor<string, []>("scatter_23_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_23_cast_fp16 = scatter(axis = scatter_23_axis_0, data = scatter_21_cast_fp16, indices = slice_by_index_22, mode = scatter_23_mode_0, updates = var_606_cast_fp16, validate_indices = scatter_23_validate_indices_0)[name = tensor<string, []>("scatter_23_cast_fp16")]; | |
| tensor<int32, [1]> var_623_begin_0 = const()[name = tensor<string, []>("op_623_begin_0"), val = tensor<int32, [1]>([706])]; | |
| tensor<int32, [1]> var_623_end_0 = const()[name = tensor<string, []>("op_623_end_0"), val = tensor<int32, [1]>([1295])]; | |
| tensor<bool, [1]> var_623_end_mask_0 = const()[name = tensor<string, []>("op_623_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_623_cast_fp16 = slice_by_index(begin = var_623_begin_0, end = var_623_end_0, end_mask = var_623_end_mask_0, x = scatter_22_cast_fp16)[name = tensor<string, []>("op_623_cast_fp16")]; | |
| tensor<int32, [2]> var_626_begin_0 = const()[name = tensor<string, []>("op_626_begin_0"), val = tensor<int32, [2]>([12, 0])]; | |
| tensor<int32, [2]> var_626_end_0 = const()[name = tensor<string, []>("op_626_end_0"), val = tensor<int32, [2]>([13, 589])]; | |
| tensor<bool, [2]> var_626_end_mask_0 = const()[name = tensor<string, []>("op_626_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_626_squeeze_mask_0 = const()[name = tensor<string, []>("op_626_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_626_cast_fp16 = slice_by_index(begin = var_626_begin_0, end = var_626_end_0, end_mask = var_626_end_mask_0, squeeze_mask = var_626_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_626_cast_fp16")]; | |
| tensor<fp16, [589]> var_628_cast_fp16 = add(x = var_623_cast_fp16, y = var_626_cast_fp16)[name = tensor<string, []>("op_628_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_24 = const()[name = tensor<string, []>("slice_by_index_24"), val = tensor<int32, [589]>([706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294])]; | |
| tensor<string, []> scatter_24_mode_0 = const()[name = tensor<string, []>("scatter_24_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_24_axis_0 = const()[name = tensor<string, []>("scatter_24_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_24_validate_indices_0 = const()[name = tensor<string, []>("scatter_24_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_24_cast_fp16 = scatter(axis = scatter_24_axis_0, data = scatter_22_cast_fp16, indices = slice_by_index_24, mode = scatter_24_mode_0, updates = var_628_cast_fp16, validate_indices = scatter_24_validate_indices_0)[name = tensor<string, []>("scatter_24_cast_fp16")]; | |
| tensor<int32, [1]> var_638_begin_0 = const()[name = tensor<string, []>("op_638_begin_0"), val = tensor<int32, [1]>([706])]; | |
| tensor<int32, [1]> var_638_end_0 = const()[name = tensor<string, []>("op_638_end_0"), val = tensor<int32, [1]>([1295])]; | |
| tensor<bool, [1]> var_638_end_mask_0 = const()[name = tensor<string, []>("op_638_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_638_cast_fp16 = slice_by_index(begin = var_638_begin_0, end = var_638_end_0, end_mask = var_638_end_mask_0, x = scatter_23_cast_fp16)[name = tensor<string, []>("op_638_cast_fp16")]; | |
| tensor<fp16, []> var_639_to_fp16 = const()[name = tensor<string, []>("op_639_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_641_cast_fp16 = add(x = var_638_cast_fp16, y = var_639_to_fp16)[name = tensor<string, []>("op_641_cast_fp16")]; | |
| tensor<string, []> scatter_25_mode_0 = const()[name = tensor<string, []>("scatter_25_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_25_axis_0 = const()[name = tensor<string, []>("scatter_25_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_25_validate_indices_0 = const()[name = tensor<string, []>("scatter_25_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_25_cast_fp16 = scatter(axis = scatter_25_axis_0, data = scatter_23_cast_fp16, indices = slice_by_index_24, mode = scatter_25_mode_0, updates = var_641_cast_fp16, validate_indices = scatter_25_validate_indices_0)[name = tensor<string, []>("scatter_25_cast_fp16")]; | |
| tensor<int32, [1]> var_658_begin_0 = const()[name = tensor<string, []>("op_658_begin_0"), val = tensor<int32, [1]>([765])]; | |
| tensor<int32, [1]> var_658_end_0 = const()[name = tensor<string, []>("op_658_end_0"), val = tensor<int32, [1]>([1354])]; | |
| tensor<bool, [1]> var_658_end_mask_0 = const()[name = tensor<string, []>("op_658_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_658_cast_fp16 = slice_by_index(begin = var_658_begin_0, end = var_658_end_0, end_mask = var_658_end_mask_0, x = scatter_24_cast_fp16)[name = tensor<string, []>("op_658_cast_fp16")]; | |
| tensor<int32, [2]> var_661_begin_0 = const()[name = tensor<string, []>("op_661_begin_0"), val = tensor<int32, [2]>([13, 0])]; | |
| tensor<int32, [2]> var_661_end_0 = const()[name = tensor<string, []>("op_661_end_0"), val = tensor<int32, [2]>([14, 589])]; | |
| tensor<bool, [2]> var_661_end_mask_0 = const()[name = tensor<string, []>("op_661_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_661_squeeze_mask_0 = const()[name = tensor<string, []>("op_661_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_661_cast_fp16 = slice_by_index(begin = var_661_begin_0, end = var_661_end_0, end_mask = var_661_end_mask_0, squeeze_mask = var_661_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_661_cast_fp16")]; | |
| tensor<fp16, [589]> var_663_cast_fp16 = add(x = var_658_cast_fp16, y = var_661_cast_fp16)[name = tensor<string, []>("op_663_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_26 = const()[name = tensor<string, []>("slice_by_index_26"), val = tensor<int32, [589]>([765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353])]; | |
| tensor<string, []> scatter_26_mode_0 = const()[name = tensor<string, []>("scatter_26_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_26_axis_0 = const()[name = tensor<string, []>("scatter_26_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_26_validate_indices_0 = const()[name = tensor<string, []>("scatter_26_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_26_cast_fp16 = scatter(axis = scatter_26_axis_0, data = scatter_24_cast_fp16, indices = slice_by_index_26, mode = scatter_26_mode_0, updates = var_663_cast_fp16, validate_indices = scatter_26_validate_indices_0)[name = tensor<string, []>("scatter_26_cast_fp16")]; | |
| tensor<int32, [1]> var_673_begin_0 = const()[name = tensor<string, []>("op_673_begin_0"), val = tensor<int32, [1]>([765])]; | |
| tensor<int32, [1]> var_673_end_0 = const()[name = tensor<string, []>("op_673_end_0"), val = tensor<int32, [1]>([1354])]; | |
| tensor<bool, [1]> var_673_end_mask_0 = const()[name = tensor<string, []>("op_673_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_673_cast_fp16 = slice_by_index(begin = var_673_begin_0, end = var_673_end_0, end_mask = var_673_end_mask_0, x = scatter_25_cast_fp16)[name = tensor<string, []>("op_673_cast_fp16")]; | |
| tensor<fp16, []> var_674_to_fp16 = const()[name = tensor<string, []>("op_674_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_676_cast_fp16 = add(x = var_673_cast_fp16, y = var_674_to_fp16)[name = tensor<string, []>("op_676_cast_fp16")]; | |
| tensor<string, []> scatter_27_mode_0 = const()[name = tensor<string, []>("scatter_27_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_27_axis_0 = const()[name = tensor<string, []>("scatter_27_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_27_validate_indices_0 = const()[name = tensor<string, []>("scatter_27_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_27_cast_fp16 = scatter(axis = scatter_27_axis_0, data = scatter_25_cast_fp16, indices = slice_by_index_26, mode = scatter_27_mode_0, updates = var_676_cast_fp16, validate_indices = scatter_27_validate_indices_0)[name = tensor<string, []>("scatter_27_cast_fp16")]; | |
| tensor<int32, [1]> var_693_begin_0 = const()[name = tensor<string, []>("op_693_begin_0"), val = tensor<int32, [1]>([824])]; | |
| tensor<int32, [1]> var_693_end_0 = const()[name = tensor<string, []>("op_693_end_0"), val = tensor<int32, [1]>([1413])]; | |
| tensor<bool, [1]> var_693_end_mask_0 = const()[name = tensor<string, []>("op_693_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_693_cast_fp16 = slice_by_index(begin = var_693_begin_0, end = var_693_end_0, end_mask = var_693_end_mask_0, x = scatter_26_cast_fp16)[name = tensor<string, []>("op_693_cast_fp16")]; | |
| tensor<int32, [2]> var_696_begin_0 = const()[name = tensor<string, []>("op_696_begin_0"), val = tensor<int32, [2]>([14, 0])]; | |
| tensor<int32, [2]> var_696_end_0 = const()[name = tensor<string, []>("op_696_end_0"), val = tensor<int32, [2]>([15, 589])]; | |
| tensor<bool, [2]> var_696_end_mask_0 = const()[name = tensor<string, []>("op_696_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_696_squeeze_mask_0 = const()[name = tensor<string, []>("op_696_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_696_cast_fp16 = slice_by_index(begin = var_696_begin_0, end = var_696_end_0, end_mask = var_696_end_mask_0, squeeze_mask = var_696_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_696_cast_fp16")]; | |
| tensor<fp16, [589]> var_698_cast_fp16 = add(x = var_693_cast_fp16, y = var_696_cast_fp16)[name = tensor<string, []>("op_698_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_28 = const()[name = tensor<string, []>("slice_by_index_28"), val = tensor<int32, [589]>([824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412])]; | |
| tensor<string, []> scatter_28_mode_0 = const()[name = tensor<string, []>("scatter_28_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_28_axis_0 = const()[name = tensor<string, []>("scatter_28_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_28_validate_indices_0 = const()[name = tensor<string, []>("scatter_28_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_28_cast_fp16 = scatter(axis = scatter_28_axis_0, data = scatter_26_cast_fp16, indices = slice_by_index_28, mode = scatter_28_mode_0, updates = var_698_cast_fp16, validate_indices = scatter_28_validate_indices_0)[name = tensor<string, []>("scatter_28_cast_fp16")]; | |
| tensor<int32, [1]> var_708_begin_0 = const()[name = tensor<string, []>("op_708_begin_0"), val = tensor<int32, [1]>([824])]; | |
| tensor<int32, [1]> var_708_end_0 = const()[name = tensor<string, []>("op_708_end_0"), val = tensor<int32, [1]>([1413])]; | |
| tensor<bool, [1]> var_708_end_mask_0 = const()[name = tensor<string, []>("op_708_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_708_cast_fp16 = slice_by_index(begin = var_708_begin_0, end = var_708_end_0, end_mask = var_708_end_mask_0, x = scatter_27_cast_fp16)[name = tensor<string, []>("op_708_cast_fp16")]; | |
| tensor<fp16, []> var_709_to_fp16 = const()[name = tensor<string, []>("op_709_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_711_cast_fp16 = add(x = var_708_cast_fp16, y = var_709_to_fp16)[name = tensor<string, []>("op_711_cast_fp16")]; | |
| tensor<string, []> scatter_29_mode_0 = const()[name = tensor<string, []>("scatter_29_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_29_axis_0 = const()[name = tensor<string, []>("scatter_29_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_29_validate_indices_0 = const()[name = tensor<string, []>("scatter_29_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_29_cast_fp16 = scatter(axis = scatter_29_axis_0, data = scatter_27_cast_fp16, indices = slice_by_index_28, mode = scatter_29_mode_0, updates = var_711_cast_fp16, validate_indices = scatter_29_validate_indices_0)[name = tensor<string, []>("scatter_29_cast_fp16")]; | |
| tensor<int32, [1]> var_728_begin_0 = const()[name = tensor<string, []>("op_728_begin_0"), val = tensor<int32, [1]>([883])]; | |
| tensor<int32, [1]> var_728_end_0 = const()[name = tensor<string, []>("op_728_end_0"), val = tensor<int32, [1]>([1472])]; | |
| tensor<bool, [1]> var_728_end_mask_0 = const()[name = tensor<string, []>("op_728_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_728_cast_fp16 = slice_by_index(begin = var_728_begin_0, end = var_728_end_0, end_mask = var_728_end_mask_0, x = scatter_28_cast_fp16)[name = tensor<string, []>("op_728_cast_fp16")]; | |
| tensor<int32, [2]> var_731_begin_0 = const()[name = tensor<string, []>("op_731_begin_0"), val = tensor<int32, [2]>([15, 0])]; | |
| tensor<int32, [2]> var_731_end_0 = const()[name = tensor<string, []>("op_731_end_0"), val = tensor<int32, [2]>([16, 589])]; | |
| tensor<bool, [2]> var_731_end_mask_0 = const()[name = tensor<string, []>("op_731_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_731_squeeze_mask_0 = const()[name = tensor<string, []>("op_731_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_731_cast_fp16 = slice_by_index(begin = var_731_begin_0, end = var_731_end_0, end_mask = var_731_end_mask_0, squeeze_mask = var_731_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_731_cast_fp16")]; | |
| tensor<fp16, [589]> var_733_cast_fp16 = add(x = var_728_cast_fp16, y = var_731_cast_fp16)[name = tensor<string, []>("op_733_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_30 = const()[name = tensor<string, []>("slice_by_index_30"), val = tensor<int32, [589]>([883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471])]; | |
| tensor<string, []> scatter_30_mode_0 = const()[name = tensor<string, []>("scatter_30_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_30_axis_0 = const()[name = tensor<string, []>("scatter_30_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_30_validate_indices_0 = const()[name = tensor<string, []>("scatter_30_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_30_cast_fp16 = scatter(axis = scatter_30_axis_0, data = scatter_28_cast_fp16, indices = slice_by_index_30, mode = scatter_30_mode_0, updates = var_733_cast_fp16, validate_indices = scatter_30_validate_indices_0)[name = tensor<string, []>("scatter_30_cast_fp16")]; | |
| tensor<int32, [1]> var_743_begin_0 = const()[name = tensor<string, []>("op_743_begin_0"), val = tensor<int32, [1]>([883])]; | |
| tensor<int32, [1]> var_743_end_0 = const()[name = tensor<string, []>("op_743_end_0"), val = tensor<int32, [1]>([1472])]; | |
| tensor<bool, [1]> var_743_end_mask_0 = const()[name = tensor<string, []>("op_743_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_743_cast_fp16 = slice_by_index(begin = var_743_begin_0, end = var_743_end_0, end_mask = var_743_end_mask_0, x = scatter_29_cast_fp16)[name = tensor<string, []>("op_743_cast_fp16")]; | |
| tensor<fp16, []> var_744_to_fp16 = const()[name = tensor<string, []>("op_744_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_746_cast_fp16 = add(x = var_743_cast_fp16, y = var_744_to_fp16)[name = tensor<string, []>("op_746_cast_fp16")]; | |
| tensor<string, []> scatter_31_mode_0 = const()[name = tensor<string, []>("scatter_31_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_31_axis_0 = const()[name = tensor<string, []>("scatter_31_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_31_validate_indices_0 = const()[name = tensor<string, []>("scatter_31_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_31_cast_fp16 = scatter(axis = scatter_31_axis_0, data = scatter_29_cast_fp16, indices = slice_by_index_30, mode = scatter_31_mode_0, updates = var_746_cast_fp16, validate_indices = scatter_31_validate_indices_0)[name = tensor<string, []>("scatter_31_cast_fp16")]; | |
| tensor<int32, [1]> var_763_begin_0 = const()[name = tensor<string, []>("op_763_begin_0"), val = tensor<int32, [1]>([942])]; | |
| tensor<int32, [1]> var_763_end_0 = const()[name = tensor<string, []>("op_763_end_0"), val = tensor<int32, [1]>([1531])]; | |
| tensor<bool, [1]> var_763_end_mask_0 = const()[name = tensor<string, []>("op_763_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_763_cast_fp16 = slice_by_index(begin = var_763_begin_0, end = var_763_end_0, end_mask = var_763_end_mask_0, x = scatter_30_cast_fp16)[name = tensor<string, []>("op_763_cast_fp16")]; | |
| tensor<int32, [2]> var_766_begin_0 = const()[name = tensor<string, []>("op_766_begin_0"), val = tensor<int32, [2]>([16, 0])]; | |
| tensor<int32, [2]> var_766_end_0 = const()[name = tensor<string, []>("op_766_end_0"), val = tensor<int32, [2]>([17, 589])]; | |
| tensor<bool, [2]> var_766_end_mask_0 = const()[name = tensor<string, []>("op_766_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_766_squeeze_mask_0 = const()[name = tensor<string, []>("op_766_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_766_cast_fp16 = slice_by_index(begin = var_766_begin_0, end = var_766_end_0, end_mask = var_766_end_mask_0, squeeze_mask = var_766_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_766_cast_fp16")]; | |
| tensor<fp16, [589]> var_768_cast_fp16 = add(x = var_763_cast_fp16, y = var_766_cast_fp16)[name = tensor<string, []>("op_768_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_32 = const()[name = tensor<string, []>("slice_by_index_32"), val = tensor<int32, [589]>([942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530])]; | |
| tensor<string, []> scatter_32_mode_0 = const()[name = tensor<string, []>("scatter_32_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_32_axis_0 = const()[name = tensor<string, []>("scatter_32_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_32_validate_indices_0 = const()[name = tensor<string, []>("scatter_32_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_32_cast_fp16 = scatter(axis = scatter_32_axis_0, data = scatter_30_cast_fp16, indices = slice_by_index_32, mode = scatter_32_mode_0, updates = var_768_cast_fp16, validate_indices = scatter_32_validate_indices_0)[name = tensor<string, []>("scatter_32_cast_fp16")]; | |
| tensor<int32, [1]> var_778_begin_0 = const()[name = tensor<string, []>("op_778_begin_0"), val = tensor<int32, [1]>([942])]; | |
| tensor<int32, [1]> var_778_end_0 = const()[name = tensor<string, []>("op_778_end_0"), val = tensor<int32, [1]>([1531])]; | |
| tensor<bool, [1]> var_778_end_mask_0 = const()[name = tensor<string, []>("op_778_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_778_cast_fp16 = slice_by_index(begin = var_778_begin_0, end = var_778_end_0, end_mask = var_778_end_mask_0, x = scatter_31_cast_fp16)[name = tensor<string, []>("op_778_cast_fp16")]; | |
| tensor<fp16, []> var_779_to_fp16 = const()[name = tensor<string, []>("op_779_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_781_cast_fp16 = add(x = var_778_cast_fp16, y = var_779_to_fp16)[name = tensor<string, []>("op_781_cast_fp16")]; | |
| tensor<string, []> scatter_33_mode_0 = const()[name = tensor<string, []>("scatter_33_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_33_axis_0 = const()[name = tensor<string, []>("scatter_33_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_33_validate_indices_0 = const()[name = tensor<string, []>("scatter_33_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_33_cast_fp16 = scatter(axis = scatter_33_axis_0, data = scatter_31_cast_fp16, indices = slice_by_index_32, mode = scatter_33_mode_0, updates = var_781_cast_fp16, validate_indices = scatter_33_validate_indices_0)[name = tensor<string, []>("scatter_33_cast_fp16")]; | |
| tensor<int32, [1]> var_798_begin_0 = const()[name = tensor<string, []>("op_798_begin_0"), val = tensor<int32, [1]>([1001])]; | |
| tensor<int32, [1]> var_798_end_0 = const()[name = tensor<string, []>("op_798_end_0"), val = tensor<int32, [1]>([1590])]; | |
| tensor<bool, [1]> var_798_end_mask_0 = const()[name = tensor<string, []>("op_798_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_798_cast_fp16 = slice_by_index(begin = var_798_begin_0, end = var_798_end_0, end_mask = var_798_end_mask_0, x = scatter_32_cast_fp16)[name = tensor<string, []>("op_798_cast_fp16")]; | |
| tensor<int32, [2]> var_801_begin_0 = const()[name = tensor<string, []>("op_801_begin_0"), val = tensor<int32, [2]>([17, 0])]; | |
| tensor<int32, [2]> var_801_end_0 = const()[name = tensor<string, []>("op_801_end_0"), val = tensor<int32, [2]>([18, 589])]; | |
| tensor<bool, [2]> var_801_end_mask_0 = const()[name = tensor<string, []>("op_801_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_801_squeeze_mask_0 = const()[name = tensor<string, []>("op_801_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_801_cast_fp16 = slice_by_index(begin = var_801_begin_0, end = var_801_end_0, end_mask = var_801_end_mask_0, squeeze_mask = var_801_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_801_cast_fp16")]; | |
| tensor<fp16, [589]> var_803_cast_fp16 = add(x = var_798_cast_fp16, y = var_801_cast_fp16)[name = tensor<string, []>("op_803_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_34 = const()[name = tensor<string, []>("slice_by_index_34"), val = tensor<int32, [589]>([1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589])]; | |
| tensor<string, []> scatter_34_mode_0 = const()[name = tensor<string, []>("scatter_34_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_34_axis_0 = const()[name = tensor<string, []>("scatter_34_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_34_validate_indices_0 = const()[name = tensor<string, []>("scatter_34_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_34_cast_fp16 = scatter(axis = scatter_34_axis_0, data = scatter_32_cast_fp16, indices = slice_by_index_34, mode = scatter_34_mode_0, updates = var_803_cast_fp16, validate_indices = scatter_34_validate_indices_0)[name = tensor<string, []>("scatter_34_cast_fp16")]; | |
| tensor<int32, [1]> var_813_begin_0 = const()[name = tensor<string, []>("op_813_begin_0"), val = tensor<int32, [1]>([1001])]; | |
| tensor<int32, [1]> var_813_end_0 = const()[name = tensor<string, []>("op_813_end_0"), val = tensor<int32, [1]>([1590])]; | |
| tensor<bool, [1]> var_813_end_mask_0 = const()[name = tensor<string, []>("op_813_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_813_cast_fp16 = slice_by_index(begin = var_813_begin_0, end = var_813_end_0, end_mask = var_813_end_mask_0, x = scatter_33_cast_fp16)[name = tensor<string, []>("op_813_cast_fp16")]; | |
| tensor<fp16, []> var_814_to_fp16 = const()[name = tensor<string, []>("op_814_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_816_cast_fp16 = add(x = var_813_cast_fp16, y = var_814_to_fp16)[name = tensor<string, []>("op_816_cast_fp16")]; | |
| tensor<string, []> scatter_35_mode_0 = const()[name = tensor<string, []>("scatter_35_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_35_axis_0 = const()[name = tensor<string, []>("scatter_35_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_35_validate_indices_0 = const()[name = tensor<string, []>("scatter_35_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_35_cast_fp16 = scatter(axis = scatter_35_axis_0, data = scatter_33_cast_fp16, indices = slice_by_index_34, mode = scatter_35_mode_0, updates = var_816_cast_fp16, validate_indices = scatter_35_validate_indices_0)[name = tensor<string, []>("scatter_35_cast_fp16")]; | |
| tensor<int32, [1]> var_833_begin_0 = const()[name = tensor<string, []>("op_833_begin_0"), val = tensor<int32, [1]>([1060])]; | |
| tensor<int32, [1]> var_833_end_0 = const()[name = tensor<string, []>("op_833_end_0"), val = tensor<int32, [1]>([1649])]; | |
| tensor<bool, [1]> var_833_end_mask_0 = const()[name = tensor<string, []>("op_833_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_833_cast_fp16 = slice_by_index(begin = var_833_begin_0, end = var_833_end_0, end_mask = var_833_end_mask_0, x = scatter_34_cast_fp16)[name = tensor<string, []>("op_833_cast_fp16")]; | |
| tensor<int32, [2]> var_836_begin_0 = const()[name = tensor<string, []>("op_836_begin_0"), val = tensor<int32, [2]>([18, 0])]; | |
| tensor<int32, [2]> var_836_end_0 = const()[name = tensor<string, []>("op_836_end_0"), val = tensor<int32, [2]>([19, 589])]; | |
| tensor<bool, [2]> var_836_end_mask_0 = const()[name = tensor<string, []>("op_836_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_836_squeeze_mask_0 = const()[name = tensor<string, []>("op_836_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_836_cast_fp16 = slice_by_index(begin = var_836_begin_0, end = var_836_end_0, end_mask = var_836_end_mask_0, squeeze_mask = var_836_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_836_cast_fp16")]; | |
| tensor<fp16, [589]> var_838_cast_fp16 = add(x = var_833_cast_fp16, y = var_836_cast_fp16)[name = tensor<string, []>("op_838_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_36 = const()[name = tensor<string, []>("slice_by_index_36"), val = tensor<int32, [589]>([1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648])]; | |
| tensor<string, []> scatter_36_mode_0 = const()[name = tensor<string, []>("scatter_36_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_36_axis_0 = const()[name = tensor<string, []>("scatter_36_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_36_validate_indices_0 = const()[name = tensor<string, []>("scatter_36_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_36_cast_fp16 = scatter(axis = scatter_36_axis_0, data = scatter_34_cast_fp16, indices = slice_by_index_36, mode = scatter_36_mode_0, updates = var_838_cast_fp16, validate_indices = scatter_36_validate_indices_0)[name = tensor<string, []>("scatter_36_cast_fp16")]; | |
| tensor<int32, [1]> var_848_begin_0 = const()[name = tensor<string, []>("op_848_begin_0"), val = tensor<int32, [1]>([1060])]; | |
| tensor<int32, [1]> var_848_end_0 = const()[name = tensor<string, []>("op_848_end_0"), val = tensor<int32, [1]>([1649])]; | |
| tensor<bool, [1]> var_848_end_mask_0 = const()[name = tensor<string, []>("op_848_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_848_cast_fp16 = slice_by_index(begin = var_848_begin_0, end = var_848_end_0, end_mask = var_848_end_mask_0, x = scatter_35_cast_fp16)[name = tensor<string, []>("op_848_cast_fp16")]; | |
| tensor<fp16, []> var_849_to_fp16 = const()[name = tensor<string, []>("op_849_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_851_cast_fp16 = add(x = var_848_cast_fp16, y = var_849_to_fp16)[name = tensor<string, []>("op_851_cast_fp16")]; | |
| tensor<string, []> scatter_37_mode_0 = const()[name = tensor<string, []>("scatter_37_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_37_axis_0 = const()[name = tensor<string, []>("scatter_37_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_37_validate_indices_0 = const()[name = tensor<string, []>("scatter_37_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_37_cast_fp16 = scatter(axis = scatter_37_axis_0, data = scatter_35_cast_fp16, indices = slice_by_index_36, mode = scatter_37_mode_0, updates = var_851_cast_fp16, validate_indices = scatter_37_validate_indices_0)[name = tensor<string, []>("scatter_37_cast_fp16")]; | |
| tensor<int32, [1]> var_868_begin_0 = const()[name = tensor<string, []>("op_868_begin_0"), val = tensor<int32, [1]>([1119])]; | |
| tensor<int32, [1]> var_868_end_0 = const()[name = tensor<string, []>("op_868_end_0"), val = tensor<int32, [1]>([1708])]; | |
| tensor<bool, [1]> var_868_end_mask_0 = const()[name = tensor<string, []>("op_868_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_868_cast_fp16 = slice_by_index(begin = var_868_begin_0, end = var_868_end_0, end_mask = var_868_end_mask_0, x = scatter_36_cast_fp16)[name = tensor<string, []>("op_868_cast_fp16")]; | |
| tensor<int32, [2]> var_871_begin_0 = const()[name = tensor<string, []>("op_871_begin_0"), val = tensor<int32, [2]>([19, 0])]; | |
| tensor<int32, [2]> var_871_end_0 = const()[name = tensor<string, []>("op_871_end_0"), val = tensor<int32, [2]>([20, 589])]; | |
| tensor<bool, [2]> var_871_end_mask_0 = const()[name = tensor<string, []>("op_871_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_871_squeeze_mask_0 = const()[name = tensor<string, []>("op_871_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_871_cast_fp16 = slice_by_index(begin = var_871_begin_0, end = var_871_end_0, end_mask = var_871_end_mask_0, squeeze_mask = var_871_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_871_cast_fp16")]; | |
| tensor<fp16, [589]> var_873_cast_fp16 = add(x = var_868_cast_fp16, y = var_871_cast_fp16)[name = tensor<string, []>("op_873_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_38 = const()[name = tensor<string, []>("slice_by_index_38"), val = tensor<int32, [589]>([1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707])]; | |
| tensor<string, []> scatter_38_mode_0 = const()[name = tensor<string, []>("scatter_38_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_38_axis_0 = const()[name = tensor<string, []>("scatter_38_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_38_validate_indices_0 = const()[name = tensor<string, []>("scatter_38_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_38_cast_fp16 = scatter(axis = scatter_38_axis_0, data = scatter_36_cast_fp16, indices = slice_by_index_38, mode = scatter_38_mode_0, updates = var_873_cast_fp16, validate_indices = scatter_38_validate_indices_0)[name = tensor<string, []>("scatter_38_cast_fp16")]; | |
| tensor<int32, [1]> var_883_begin_0 = const()[name = tensor<string, []>("op_883_begin_0"), val = tensor<int32, [1]>([1119])]; | |
| tensor<int32, [1]> var_883_end_0 = const()[name = tensor<string, []>("op_883_end_0"), val = tensor<int32, [1]>([1708])]; | |
| tensor<bool, [1]> var_883_end_mask_0 = const()[name = tensor<string, []>("op_883_end_mask_0"), val = tensor<bool, [1]>([false])]; | |
| tensor<fp16, [589]> var_883_cast_fp16 = slice_by_index(begin = var_883_begin_0, end = var_883_end_0, end_mask = var_883_end_mask_0, x = scatter_37_cast_fp16)[name = tensor<string, []>("op_883_cast_fp16")]; | |
| tensor<fp16, []> var_884_to_fp16 = const()[name = tensor<string, []>("op_884_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_886_cast_fp16 = add(x = var_883_cast_fp16, y = var_884_to_fp16)[name = tensor<string, []>("op_886_cast_fp16")]; | |
| tensor<string, []> scatter_39_mode_0 = const()[name = tensor<string, []>("scatter_39_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_39_axis_0 = const()[name = tensor<string, []>("scatter_39_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_39_validate_indices_0 = const()[name = tensor<string, []>("scatter_39_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_39_cast_fp16 = scatter(axis = scatter_39_axis_0, data = scatter_37_cast_fp16, indices = slice_by_index_38, mode = scatter_39_mode_0, updates = var_886_cast_fp16, validate_indices = scatter_39_validate_indices_0)[name = tensor<string, []>("scatter_39_cast_fp16")]; | |
| tensor<int32, [1]> var_903_begin_0 = const()[name = tensor<string, []>("op_903_begin_0"), val = tensor<int32, [1]>([1178])]; | |
| tensor<int32, [1]> var_903_end_0 = const()[name = tensor<string, []>("op_903_end_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<bool, [1]> var_903_end_mask_0 = const()[name = tensor<string, []>("op_903_end_mask_0"), val = tensor<bool, [1]>([true])]; | |
| tensor<fp16, [589]> var_903_cast_fp16 = slice_by_index(begin = var_903_begin_0, end = var_903_end_0, end_mask = var_903_end_mask_0, x = scatter_38_cast_fp16)[name = tensor<string, []>("op_903_cast_fp16")]; | |
| tensor<int32, [2]> var_906_begin_0 = const()[name = tensor<string, []>("op_906_begin_0"), val = tensor<int32, [2]>([20, 0])]; | |
| tensor<int32, [2]> var_906_end_0 = const()[name = tensor<string, []>("op_906_end_0"), val = tensor<int32, [2]>([21, 589])]; | |
| tensor<bool, [2]> var_906_end_mask_0 = const()[name = tensor<string, []>("op_906_end_mask_0"), val = tensor<bool, [2]>([false, true])]; | |
| tensor<bool, [2]> var_906_squeeze_mask_0 = const()[name = tensor<string, []>("op_906_squeeze_mask_0"), val = tensor<bool, [2]>([true, false])]; | |
| tensor<fp16, [589]> var_906_cast_fp16 = slice_by_index(begin = var_906_begin_0, end = var_906_end_0, end_mask = var_906_end_mask_0, squeeze_mask = var_906_squeeze_mask_0, x = reduce_max_0_cast_fp16)[name = tensor<string, []>("op_906_cast_fp16")]; | |
| tensor<fp16, [589]> var_908_cast_fp16 = add(x = var_903_cast_fp16, y = var_906_cast_fp16)[name = tensor<string, []>("op_908_cast_fp16")]; | |
| tensor<int32, [589]> slice_by_index_40 = const()[name = tensor<string, []>("slice_by_index_40"), val = tensor<int32, [589]>([1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1716, 1717, 1718, 1719, 1720, 1721, 1722, 1723, 1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734, 1735, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766])]; | |
| tensor<string, []> scatter_40_mode_0 = const()[name = tensor<string, []>("scatter_40_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_40_axis_0 = const()[name = tensor<string, []>("scatter_40_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_40_validate_indices_0 = const()[name = tensor<string, []>("scatter_40_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_40_cast_fp16 = scatter(axis = scatter_40_axis_0, data = scatter_38_cast_fp16, indices = slice_by_index_40, mode = scatter_40_mode_0, updates = var_908_cast_fp16, validate_indices = scatter_40_validate_indices_0)[name = tensor<string, []>("scatter_40_cast_fp16")]; | |
| tensor<int32, [1]> var_918_begin_0 = const()[name = tensor<string, []>("op_918_begin_0"), val = tensor<int32, [1]>([1178])]; | |
| tensor<int32, [1]> var_918_end_0 = const()[name = tensor<string, []>("op_918_end_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<bool, [1]> var_918_end_mask_0 = const()[name = tensor<string, []>("op_918_end_mask_0"), val = tensor<bool, [1]>([true])]; | |
| tensor<fp16, [589]> var_918_cast_fp16 = slice_by_index(begin = var_918_begin_0, end = var_918_end_0, end_mask = var_918_end_mask_0, x = scatter_39_cast_fp16)[name = tensor<string, []>("op_918_cast_fp16")]; | |
| tensor<fp16, []> var_919_to_fp16 = const()[name = tensor<string, []>("op_919_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<fp16, [589]> var_921_cast_fp16 = add(x = var_918_cast_fp16, y = var_919_to_fp16)[name = tensor<string, []>("op_921_cast_fp16")]; | |
| tensor<string, []> scatter_41_mode_0 = const()[name = tensor<string, []>("scatter_41_mode_0"), val = tensor<string, []>("update")]; | |
| tensor<int32, []> scatter_41_axis_0 = const()[name = tensor<string, []>("scatter_41_axis_0"), val = tensor<int32, []>(0)]; | |
| tensor<bool, []> scatter_41_validate_indices_0 = const()[name = tensor<string, []>("scatter_41_validate_indices_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [1767]> scatter_41_cast_fp16 = scatter(axis = scatter_41_axis_0, data = scatter_39_cast_fp16, indices = slice_by_index_40, mode = scatter_41_mode_0, updates = var_921_cast_fp16, validate_indices = scatter_41_validate_indices_0)[name = tensor<string, []>("scatter_41_cast_fp16")]; | |
| tensor<fp16, [1767]> voice_activity = real_div(x = scatter_40_cast_fp16, y = scatter_41_cast_fp16)[name = tensor<string, []>("op_928_cast_fp16")]; | |
| tensor<int32, [1]> var_933_axes_0 = const()[name = tensor<string, []>("op_933_axes_0"), val = tensor<int32, [1]>([1])]; | |
| tensor<bool, []> var_933_keep_dims_0 = const()[name = tensor<string, []>("op_933_keep_dims_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [21, 3]> speaker_activity = reduce_sum(axes = var_933_axes_0, keep_dims = var_933_keep_dims_0, x = speaker_ids)[name = tensor<string, []>("op_933_cast_fp16")]; | |
| tensor<int32, [1]> var_938_axes_0 = const()[name = tensor<string, []>("op_938_axes_0"), val = tensor<int32, [1]>([2])]; | |
| tensor<bool, []> var_938_keep_dims_0 = const()[name = tensor<string, []>("op_938_keep_dims_0"), val = tensor<bool, []>(false)]; | |
| tensor<fp16, [21, 589]> var_938_cast_fp16 = reduce_sum(axes = var_938_axes_0, keep_dims = var_938_keep_dims_0, x = speaker_ids)[name = tensor<string, []>("op_938_cast_fp16")]; | |
| tensor<fp16, []> var_939_to_fp16 = const()[name = tensor<string, []>("op_939_to_fp16"), val = tensor<fp16, []>(0x1p+0)]; | |
| tensor<bool, [21, 589]> var_940_cast_fp16 = greater(x = var_938_cast_fp16, y = var_939_to_fp16)[name = tensor<string, []>("op_940_cast_fp16")]; | |
| tensor<string, []> cast_9_dtype_0 = const()[name = tensor<string, []>("cast_9_dtype_0"), val = tensor<string, []>("fp16")]; | |
| tensor<fp16, [21, 589]> overlapped_speaker_activity = cast(dtype = cast_9_dtype_0, x = var_940_cast_fp16)[name = tensor<string, []>("cast_0")]; | |
| } -> (speaker_probs, speaker_ids, speaker_activity, overlapped_speaker_activity, voice_activity, sliding_window_waveform); | |
| } |