peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/deepspeed
/checkpoint
/reshape_3d_utils.py
# Copyright (c) Microsoft Corporation. | |
# SPDX-License-Identifier: Apache-2.0 | |
# DeepSpeed Team | |
from .reshape_utils import (get_files, get_files_with_prefix, partition_data, get_zero_files) | |
from .constants import (MODEL_FILE_PREFIX, LAYER_FILE_PREFIX) | |
from .reshape_meg_2d import (reshape_meg_2d_parallel, meg_2d_parallel_map) | |
PP_DIM = 'PP' | |
TP_DIM = 'TP' | |
DP_DIM = 'DP' | |
class model_3d_desc(object): | |
def __init__(self, pp_degree=1, tp_degree=1, dp_degree=1): | |
self.pp_degree = pp_degree | |
self.tp_degree = tp_degree | |
self.dp_degree = dp_degree | |
def reshape(self, target_3d_desc, verbose=False): | |
valid_reshape, reshape_errors = self.can_reshape(target_3d_desc) | |
assert valid_reshape, ','.join(reshape_errors) | |
tgt_2d_map = reshape_meg_2d_parallel(old_pp_degree=self.pp_degree, | |
old_tp_degree=self.tp_degree, | |
new_pp_degree=target_3d_desc.pp_degree, | |
new_tp_degree=target_3d_desc.tp_degree, | |
verbose=verbose) | |
flat_3d_map = flatten_dp_dimension(meg_2d_map=tgt_2d_map, | |
src_2d_size=self.pp_degree * self.tp_degree, | |
dp_degree=self.dp_degree) | |
return unflatten_dp_dimension(meg_2d_map=flat_3d_map, dp_degree=target_3d_desc.dp_degree) | |
def get_desc(self): | |
return f'{PP_DIM},{TP_DIM},{DP_DIM} = ({self.pp_degree}, {self.tp_degree}, {self.dp_degree})' | |
def world_size(self): | |
return self.pp_degree * self.tp_degree * self.dp_degree | |
def is_valid(self, pp_index, tp_index, dp_index): | |
err_msg = [] | |
valid = True | |
for index, degree, dim_name in [(pp_index, self.pp_degree, PP_DIM), (tp_index, self.tp_degree, TP_DIM), | |
(dp_index, self.dp_degree, DP_DIM)]: | |
if index >= degree: | |
valid = False | |
err_msg.append(f'{dim_name} indexing error: index {index} >= degree {degree}') | |
return valid, err_msg | |
def can_reshape(self, target_3d_desc): | |
err_msg = [] | |
if target_3d_desc.pp_degree > self.pp_degree: | |
err_msg.append( | |
f'Expansion reshape not supported - {PP_DIM}: {self.pp_degree} ---> {target_3d_desc.pp_degree}') | |
if target_3d_desc.tp_degree > self.tp_degree: | |
err_msg.append( | |
f'Expansion reshape not supported - {TP_DIM}: {self.tp_degree} ---> {target_3d_desc.tp_degree}') | |
if target_3d_desc.dp_degree > self.dp_degree: | |
err_msg.append( | |
f'Expansion reshape not supported - {DP_DIM}: {self.dp_degree} ---> {target_3d_desc.dp_degree}') | |
return len(err_msg) == 0, err_msg | |
def get_model_3d_descriptor(dir): | |
file_list = get_files(dir) | |
zero_file_list = get_zero_files(dir) | |
num_pp0_files = len(get_files_with_prefix(file_list, f'{LAYER_FILE_PREFIX}01')) | |
if num_pp0_files > 0: | |
tp_degree = num_pp0_files | |
pp_degree = len(get_files_with_prefix(file_list, MODEL_FILE_PREFIX)) // tp_degree | |
dp_degree = max(1, len(zero_file_list) // (pp_degree * tp_degree)) | |
else: | |
tp_degree = len(get_files_with_prefix(file_list, MODEL_FILE_PREFIX)) | |
dp_degree = max(1, len(zero_file_list) // tp_degree) | |
pp_degree = 1 | |
return model_3d_desc(pp_degree, tp_degree, dp_degree) | |
def flatten_dp_dimension(meg_2d_map, src_2d_size, dp_degree): | |
new_meg_2d_map = meg_2d_parallel_map(meg_2d_map.pp_degree, meg_2d_map.tp_degree) | |
for pp_index in range(meg_2d_map.pp_degree): | |
for tp_index in range(meg_2d_map.tp_degree): | |
dp0_indices = meg_2d_map.get_data(pp_index, tp_index) | |
for idx in dp0_indices: | |
dpX_indices = [idx + (i * src_2d_size) for i in range(dp_degree)] | |
new_meg_2d_map.add_data(pp_index, tp_index, dpX_indices) | |
return new_meg_2d_map | |
def unflatten_dp_dimension(meg_2d_map, dp_degree): | |
pp_degree = meg_2d_map.pp_degree | |
tp_degree = meg_2d_map.tp_degree | |
meg_2d_map_list = [meg_2d_parallel_map(pp_degree=pp_degree, tp_degree=tp_degree) for _ in range(dp_degree)] | |
for pp_index in range(pp_degree): | |
for tp_index in range(tp_degree): | |
flat_dp_indices = meg_2d_map.get_data(pp_index, tp_index) | |
partitioned_dp_indices = partition_data(flat_dp_indices, dp_degree) | |
for dp_indices, _2d_map in zip(partitioned_dp_indices, meg_2d_map_list): | |
_2d_map.add_data(pp_index, tp_index, dp_indices) | |
return meg_2d_map_list | |