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# coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# 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.
from math import ceil
def assert_device_map(device_map, num_blocks):
blocks = list(range(0, num_blocks))
device_map_blocks = [item for sublist in list(device_map.values()) for item in sublist]
# Duplicate check
duplicate_blocks = []
for i in device_map_blocks:
if device_map_blocks.count(i) > 1 and i not in duplicate_blocks:
duplicate_blocks.append(i)
# Missing blocks
missing_blocks = [i for i in blocks if i not in device_map_blocks]
extra_blocks = [i for i in device_map_blocks if i not in blocks]
assert len(duplicate_blocks) == 0, (
"Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device. These "
"attention blocks were specified more than once: " + str(duplicate_blocks)
)
assert len(missing_blocks) == 0, (
"There are attention blocks for this model that are not specified in the device_map. Add these attention "
"blocks to a device on the device_map: " + str(missing_blocks)
)
assert (
len(extra_blocks) == 0
), "The device_map contains more attention blocks than this model has. Remove these from the device_map:" + str(
extra_blocks
)
def get_device_map(n_layers, devices):
"""Returns a dictionary of layers distributed evenly across all devices."""
layers = list(range(n_layers))
n_blocks = int(ceil(n_layers / len(devices)))
layers_list = list(layers[i : i + n_blocks] for i in range(0, n_layers, n_blocks))
return dict(zip(devices, layers_list))
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