Fixed Conv3DTranspose with strides for data format channels_first (fixes #1714) #1748
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tf2onnx/onnx_opset/nn.py
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| expect_d = GraphBuilder(ctx).make_slice( | ||
| {"data": input_shape.output[0], "ends": [4], "starts": [3], "axes": [0]}) | ||
| {"data": input_shape.output[0], "ends": [sp_index_start+3], "starts": [sp_index_start+2], "axes": [0]}) |
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pylint is complaining that line and 533 are too long.
hwangdeyu
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Nov 19, 2021
onnx#1714) While shape calculations for the input correctly distinguished between channels_first and channels_last, shape calculations for the inputs of the final Slice and Pad nodes always assumed channels_last format. Signed-off-by: fthielke <[email protected]>
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hwangdeyu
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Feb 11, 2022
tf2onnx/onnx_opset/nn.py
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| output_h = GraphBuilder(ctx).make_slice( | ||
| {"data": output_shape.output[0], "ends": [2], "starts": [1], "axes": [0]}) | ||
| {"data": output_shape.output[0], "ends": [sp_index_start+1], "starts": [sp_index_start], "axes": [0]}) |
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Hi @fthielke , please fix the pyline issues.
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@fthielke Let me know if you have any questions. |
fatcat-z
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Signed-off-by: Jay Zhang <[email protected]>
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While shape calculations for the input correctly distinguished between channels_first and channels_last, shape calculations for the inputs of the final Slice and Pad nodes always assumed channels_last format.