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Fix onnx export of replication/reflection pad #4263

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Merged
colesbury merged 1 commit into from
Dec 20, 2017
Merged

Fix onnx export of replication/reflection pad #4263

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22 changes: 22 additions & 0 deletions torch/onnx/symbolic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -319,6 +319,28 @@ def avg_pool3d(g, input, kernel_size, stride, padding, ceil_mode, count_include_
pads_i=_triple(padding))


def reflection_pad(g, input, padding):
from torch.autograd._functions.utils import prepare_onnx_paddings
mode = "reflect"
paddings = prepare_onnx_paddings(len(input.type().sizes()), padding)
return g.op("Pad", input, pads_i=paddings, mode_s=mode)


def replication_pad(g, input, padding):
from torch.autograd._functions.utils import prepare_onnx_paddings
mode = "edge"
paddings = prepare_onnx_paddings(len(input.type().sizes()), padding)
return g.op("Pad", input, pads_i=paddings, mode_s=mode)


reflection_pad1d = reflection_pad
reflection_pad2d = reflection_pad
reflection_pad3d = reflection_pad
replication_pad1d = replication_pad
replication_pad2d = replication_pad
replication_pad3d = replication_pad


def log_softmax(g, input, dim=None):
return g.op("Log", g.op('Softmax', input, axis_i=dim).setTypeAs(input))

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