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c9f125bf70
Summary: Fixes https://github.com/pytorch/pytorch/issues/41735 #41736 https://github.com/pytorch/pytorch/issues/41737 #41738 all areas where black is mentioned is replaced to block Pull Request resolved: https://github.com/pytorch/pytorch/pull/42913 Reviewed By: houseroad Differential Revision: D23112873 Pulled By: malfet fbshipit-source-id: a515b56dc2ed20aa75741c577988d95f750b364c
48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
from torch.onnx.symbolic_helper import _block_list_in_opset
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import torch.onnx.symbolic_opset9 as sym_opset9
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import warnings
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# Note [ONNX operators that are added/updated from opset 7 to opset 8]
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# New operators:
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# Expand
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#
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# Updated operators:
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# Min, Max, Sum, Mean: supports multidirectional broadcasting.
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# MaxPool: added optional indices output.
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# Scan
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block_listed_operators = [
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"scan", "expand", "expand_as", "meshgrid",
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"adaptive_max_pool1d", "adaptive_max_pool2d", "adaptive_max_pool3d",
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"max_pool1d_with_indices", "max_pool2d_with_indices", "max_pool3d_with_indices"
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]
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# NOTE: max, min, sum, mean: broadcasting is not supported in opset 7.
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# torch.max (same for torch.min) actually has two interfaces smashed together:
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# torch.max(x, dim, keepdim) and torch.max(x, y)
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def max(g, self, dim_or_y=None, keepdim=None):
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# torch.max(input, other)
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if keepdim is None and dim_or_y is not None:
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warnings.warn("Multidirectional broadcasting is not supported in opset 7. "
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"This might cause the onnx model to be incorrect, if inputs to max operators "
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"have different shapes")
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return sym_opset9.max(g, self, dim_or_y, keepdim)
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def min(g, self, dim_or_y=None, keepdim=None):
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# torch.min(input, other)
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if keepdim is None and dim_or_y is not None:
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warnings.warn("Multidirectional broadcasting is not supported in opset 7. "
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"This might cause the onnx model to be incorrect, if inputs to min operators "
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"have different shapes")
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return sym_opset9.min(g, self, dim_or_y, keepdim)
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for block_listed_op in block_listed_operators:
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vars()[block_listed_op] = _block_list_in_opset(block_listed_op)
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