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on
A100
Running
on
A100
File size: 1,811 Bytes
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# Copyright (c) 2025 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/NVlabs/VILA/tree/main under the Apache 2.0 license.
# LICENSE is in incl_licenses directory.
# Copyright 2024 NVIDIA CORPORATION & AFFILIATES
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# SPDX-License-Identifier: Apache-2.0
import torch
import triton
SCALE_MIN_THRES = 1e-10
FP8_MAX_VALUE = {
torch.float8_e4m3fn: 448.0,
torch.float8_e5m2: 57344.0,
}
convert_str_to_fp8 = {"E4M3": torch.float8_e4m3fn, "E5M2": torch.float8_e5m2}
convert_fp8_to_embit = {
torch.float8_e4m3fn: (4.0, 3.0),
torch.float8_e5m2: (5.0, 2.0),
}
def get_configs_io_block():
configs = []
for nstages in [3, 4, 5]:
for block_m in [32, 64]:
for block_n in [64, 128]:
for nwarps in [4, 8]:
configs.append(
triton.Config(
{"BLOCK_M": block_m, "BLOCK_N": block_n},
num_stages=nstages,
num_warps=nwarps,
)
)
return configs
# from .common import SCALE_MIN_THRES, FP8_MAX_VALUE
# SCALE_MIN_THRES: tl.constexpr,
# + SCALE_MIN_THRES
# SCALE_MIN_THRES=SCALE_MIN_THRES,
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