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14 changes: 11 additions & 3 deletions python/tvm/relay/frontend/onnx.py
Original file line number Diff line number Diff line change
Expand Up @@ -292,6 +292,14 @@ def _impl_v1(cls, inputs, attr, params):
msg = 'Value {} in attribute "auto_pad" of operator Conv is invalid.'
raise tvm.error.OpAttributeInvalid(msg.format(attr['auto_pad']))
attr.pop('auto_pad')
elif len(attr['kernel_shape']) == 2:
sym_pad = True
padding = attr['pads']
for i in range(0, len(padding), 2):
sym_pad = sym_pad and padding[i] == padding[i + 1]

if sym_pad:
attr['pads'] = padding[0::2]

out = AttrCvt(
op_name=dimension_picker('conv'),
Expand Down Expand Up @@ -455,7 +463,7 @@ def _impl_v1(cls, inputs, attr, params):
for i in range(dims):
pad_width.append((pads[i], pads[i+dims]))
attr['pad_width'] = pad_width
pad_mode = attr.get('mode', 'constant').decode('utf-8')
pad_mode = attr.get('mode', b'constant').decode('utf-8')
if pad_mode in ['constant', 'edge', 'reflect']:
attr['pad_mode'] = pad_mode
attr.pop('mode', None)
Expand All @@ -478,7 +486,7 @@ def _impl_v2(cls, inputs, attr, params):
for i in range(dims):
pad_width.append((pads[i], pads[i+dims]))
attr['pad_width'] = pad_width
pad_mode = attr.get('mode', 'constant').decode('utf-8')
pad_mode = attr.get('mode', b'constant').decode('utf-8')
if pad_mode in ['constant', 'edge', 'reflect']:
attr['pad_mode'] = pad_mode
attr.pop('mode', None)
Expand Down Expand Up @@ -570,7 +578,7 @@ class DepthToSpace(OnnxOpConverter):
def _impl_v11(cls, inputs, attr, params):

block_size = int(attr['blocksize'])
mode = attr.get("mode", "DCR")
mode = attr.get('mode', b'DCR').decode('utf-8')
return _op.nn.depth_to_space(inputs[0], block_size, mode=mode)


Expand Down