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[Relay] Adding _contrib_BilinearResize2D op from mxnet #2777

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merged 3 commits into from
Mar 17, 2019
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[Relay] Adding _contrib_BilinearResize2D op from mxnet #2777

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ebceae1
adding _contrib_BilinearResize2D op from mxnet
Laurawly Mar 5, 2019
c5fa054
error fixed
Laurawly Mar 11, 2019
0143d7f
use resize instead of upsample
Laurawly Mar 13, 2019
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12 changes: 12 additions & 0 deletions python/tvm/relay/frontend/mxnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -430,6 +430,17 @@ def _mx_roi_align(inputs, attrs):
new_attrs["layout"] = "NCHW"
return _op.vision.roi_align(inputs[0], inputs[1], **new_attrs)

def _mx_upsampling(inputs, attrs):
scale_height = attrs.get_float("scale_height", None)
scale_width = attrs.get_float("scale_width", None)
height = attrs.get_int("height", 1)
width = attrs.get_int("width", 1)
if scale_height is not None:
height = scale_height * inputs[0].shape[2]
if scale_width is not None:
width = scale_width * inputs[0].shape[3]
size = (inputs[0].shape[0], inputs[0].shape[1], height, width)
return _op.image.resize(inputs[0], size)

def _mx_proposal(inputs, attrs):
new_attrs = {}
Expand Down Expand Up @@ -616,6 +627,7 @@ def _mx_l2_normalize(inputs, attrs):
"SoftmaxOutput" : _mx_softmax_output,
"SoftmaxActivation" : _mx_softmax_activation,
# vision
"_contrib_BilinearResize2D" : _mx_upsampling,
"_contrib_MultiBoxPrior" : _mx_multibox_prior,
"_contrib_MultiBoxDetection" : _mx_multibox_detection,
"_contrib_ROIAlign" : _mx_roi_align,
Expand Down