mirror of
https://github.com/hpcaitech/ColossalAI.git
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32efe8e740
* [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages * [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages * [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages * [fx] merge development into main (#1) * [fx] activation checkpointing using Chen strategies. * [fx] add test for ckpt_solver_chen * [fx] add vanilla activation checkpoint search with test on resnet and densenet * [fx] add a namespace code for solver_chen. * [fx] fix the false interpretation of algorithm 3 in https://arxiv.org/abs/1604.06174. * [fx] fix lowercase naming conventions. * [fx] simplify test for ckpt. * [fx] add rules to linearize computation graphs for searching. (#2) * [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages * [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages * [fx] modify the calculation of node_size in MetaInfoProp for activation checkpointing usages * [fx] merge development into main (#1) * [fx] activation checkpointing using Chen strategies. * [fx] add test for ckpt_solver_chen * [fx] add vanilla activation checkpoint search with test on resnet and densenet * [fx] add a namespace code for solver_chen. * [fx] fix the false interpretation of algorithm 3 in https://arxiv.org/abs/1604.06174. * [fx] fix lowercase naming conventions. * [fx] simplify test for ckpt. * [fx] fix test and algorithm bugs in activation checkpointing. * [fx] polish ckpt_test. * [fx] add rules to linearize computation graphs for searching. * [fx] remove chen_sqrt for sake of simplicity * [fx] remove chen_sqrt for sake of simplicity * [fx] remove chen_sqrt for sake of simplicity * [fx] remove chen_sqrt for sake of simplicity * [fx] fix inconsistencies. * [fx] fix MetaInfoProp. * [fx] fix MetaInfoProp. * [fx] consider MetaInfoProp for inplace operands. * [fx] consider MetaInfoProp for inplace operands. * [fx] consider MetaInfoProp for inplace operands. * [fx] consider MetaInfoProp for inplace operands. * [fx] consider MetaInfoProp for inplace operands. * [fx] add profiler for fx nodes. * [fx] add profiler for fx nodes. * [fx] add profiler for fx nodes. * [fx] add profiler for fx nodes. * [fx] add profiler for fx nodes. * [fx] add profiler for fx nodes. * [fx] add profiler for fx nodes. * [fx] fix error in tests. * [fx] unfix bug. * [fx] unfix bug.
53 lines
2.5 KiB
Python
53 lines
2.5 KiB
Python
import torch
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import torch.nn as nn
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import colossalai
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import colossalai.nn as col_nn
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from torch.fx import symbolic_trace
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from colossalai.fx.passes.meta_info_prop import MetaInfoProp, TensorMetadata
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BATCH_SIZE = 2
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DIM_IN = 4
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DIM_OUT = 16
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def meta_check(meta_info_spec: TensorMetadata, orig_tensor: torch.Tensor):
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assert meta_info_spec.shape == orig_tensor.shape
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assert meta_info_spec.dtype == orig_tensor.dtype
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assert meta_info_spec.requires_grad == orig_tensor.requires_grad
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assert meta_info_spec.stride == orig_tensor.stride()
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assert meta_info_spec.numel == orig_tensor.numel()
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def test_meta_info_prop():
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model = torch.nn.Linear(DIM_IN, DIM_OUT)
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input_sample = torch.rand(BATCH_SIZE, DIM_IN, device='meta')
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orig_output = model(input_sample)
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gm = symbolic_trace(model)
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for node in gm.graph.nodes:
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assert not hasattr(node,
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'node_size'), 'The attribute Node.node_size should not exist before MetaInfoProp procedure'
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assert not hasattr(node,
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'__param__'), 'The attribute Node.__param__ should not exist before MetaInfoProp procedure'
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assert not hasattr(
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node, '__activation__'), 'The attribute Node.__activation__ should not exist before MetaInfoProp procedure'
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assert not hasattr(node,
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'__flops__'), 'The attribute Node.__flops__ should not exist before MetaInfoProp procedure'
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assert not hasattr(node,
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'__macs__'), 'The attribute Node.__macs__ should not exist before MetaInfoProp procedure'
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MetaInfoProp(gm).run(input_sample)
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for node in gm.graph.nodes:
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if node.op == 'placeholder':
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meta_check(node.meta['tensor_meta'], input_sample)
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if node.op == 'output':
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meta_check(node.meta['tensor_meta'], orig_output)
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assert hasattr(node, 'node_size'), 'The attribute Node.node_size should exist after MetaInfoProp procedure'
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assert hasattr(node, '__param__'), 'The attribute Node.__param__ should exist after MetaInfoProp procedure'
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assert hasattr(node,
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'__activation__'), 'The attribute Node.__activation__ should exist after MetaInfoProp procedure'
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assert hasattr(node, '__flops__'), 'The attribute Node.__flops__ should exist after MetaInfoProp procedure'
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assert hasattr(node, '__macs__'), 'The attribute Node.__macs__ should exist after MetaInfoProp procedure'
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if __name__ == '__main__':
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test_meta_info_prop()
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