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52 lines
1.6 KiB
52 lines
1.6 KiB
from colossalai.constants import INPUT_GROUP_3D, WEIGHT_GROUP_3D, OUTPUT_GROUP_3D
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from colossalai.context.parallel_mode import ParallelMode
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from colossalai.core import global_context as gpc
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from colossalai.global_variables import tensor_parallel_env as env
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from torch import Tensor
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def get_depth_from_env() -> int:
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try:
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depth = env.depth_3d
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assert depth > 0, 'DEPTH must be greater than zero'
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return depth
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except KeyError as e:
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raise EnvironmentError('DEPTH is not found in the current environment, '
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'please make sure that you have used the correct process group initializer')
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def get_parallel_mode_from_env(group):
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assert group in [INPUT_GROUP_3D, WEIGHT_GROUP_3D, OUTPUT_GROUP_3D], \
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f'{group} is not valid for 3D tensor parallelism.'
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return getattr(env, group)
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def get_last_group(a, b):
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mapping = {
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ParallelMode.PARALLEL_3D_INPUT: 'A',
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ParallelMode.PARALLEL_3D_WEIGHT: 'B',
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ParallelMode.PARALLEL_3D_OUTPUT: 'C',
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}
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res = chr(ord('A') + ord('B') + ord('C') - ord(mapping[a]) - ord(mapping[b]))
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if res == 'A':
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return ParallelMode.PARALLEL_3D_INPUT
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elif res == 'B':
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return ParallelMode.PARALLEL_3D_WEIGHT
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elif res == 'C':
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return ParallelMode.PARALLEL_3D_OUTPUT
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def swap_in_out_group():
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env.input_group_3d, env.output_group_3d = env.output_group_3d, env.input_group_3d
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def dbg_check_shape(tensor: Tensor, shape: tuple):
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rank = gpc.get_global_rank()
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if rank == 0:
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print(tensor.shape)
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assert tensor.shape == shape, \
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'{} does not match {}'.format(tensor.shape, shape)
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