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Refactor bilinear and neighbour implementation in Tensorflow frontend #4504

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Dec 11, 2019
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Refactor bilinear and neighbour implementation in Tensorflow frontend #4504

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27 changes: 6 additions & 21 deletions python/tvm/relay/frontend/tensorflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -416,7 +416,7 @@ def _impl(inputs, attr, params):
extras={'axis': int(axis), 'num_newaxis': 1})(inputs, attr)
return _impl

def _resize_bilinear():
def _resize_bilinear(bilinear_op):
def _impl(inputs, attr, params):
size = attr['_output_shapes'][0][1:3]
# Important that the size is defined. If an axis is not, we need to infer what
Expand All @@ -429,24 +429,9 @@ def _impl(inputs, attr, params):
attr['layout'] = 'NHWC'

# Ignore the new attributes from TF2.0, for now.
return AttrCvt(op_name="resize",
return AttrCvt(op_name='resize',
ignores=['Tdim', 'half_pixel_centers'],
extras={'method': "bilinear"})(inputs, attr)
return _impl

def _resize_nearest_neighbor():
def _impl(inputs, attr, params):
size = attr['_output_shapes'][0][1:3]
if -1 in size:
size = _infer_value(inputs[1], params).asnumpy().reshape([-1]).tolist()
attr['size'] = size
inputs.pop(1)
# NHWC
attr['layout'] = 'NHWC'

return AttrCvt(op_name="resize",
ignores=['Tdim'],
extras={'method': "nearest_neighbor"})(inputs, attr)
extras={'method': bilinear_op})(inputs, attr)
return _impl

def _check_numerics():
Expand Down Expand Up @@ -1503,9 +1488,9 @@ def _impl(inputs, attr, params):
'Relu' : AttrCvt('relu'),
'Relu6' : _relu6(),
'Reshape' : _reshape(),
'ResizeBilinear' : _resize_bilinear(),
'ResizeBicubic' : _resize_bilinear(),
'ResizeNearestNeighbor' : _resize_nearest_neighbor(),
'ResizeBilinear' : _resize_bilinear('bilinear'),
'ResizeBicubic' : _resize_bilinear('bilinear'),
'ResizeNearestNeighbor' : _resize_bilinear('nearest_neighbor'),
'ReverseV2' : _reverse_v2(),
'RightShift' : AttrCvt('right_shift'),
'Round' : AttrCvt('round'),
Expand Down