Skip to content

[Relay][Frontend][ONNX] Add support for op Where #4184

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Oct 27, 2019
Merged

[Relay][Frontend][ONNX] Add support for op Where #4184

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
4084671
Add support for op Where
jonso4 Oct 23, 2019
dd2606e
Update impl version
jonso4 Oct 24, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 9 additions & 1 deletion python/tvm/relay/frontend/onnx.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -922,6 +922,13 @@ class Erf(OnnxOpConverter):
def _impl_v1(cls, inputs, attr, params):
return _op.erf(inputs[0])

class Where(OnnxOpConverter):
"""Operator converter for Where
"""
@classmethod
def _impl_v9(cls, inputs, attr, params):
return _op.where(inputs[0], inputs[1], inputs[2])


# compatible operators that do NOT require any conversion.
_identity_list = []
Expand Down Expand Up @@ -1042,7 +1049,8 @@ def _get_convert_map(opset):
'Not': Not.get_converter(opset),
'And': And.get_converter(opset),
'Tile': Tile.get_converter(opset),
'Erf': Erf.get_converter(opset)
'Erf': Erf.get_converter(opset),
'Where': Where.get_converter(opset)
}


Expand Down
27 changes: 27 additions & 0 deletions tests/python/frontend/onnx/test_forward.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1299,6 +1299,32 @@ def test_erf():
z = scipy.special.erf(x)
verify_erf(x, z)

def verify_where(condition, x, y, dtype, outdata):
node = helper.make_node('Where', inputs=['condition', 'x', 'y'], outputs=['out'])
graph = helper.make_graph([node],
'where_test',
inputs=[helper.make_tensor_value_info('condition', TensorProto.BOOL, list(condition.shape)),
helper.make_tensor_value_info('x', dtype, list(x.shape)),
helper.make_tensor_value_info('y', dtype, list(y.shape))],
outputs=[helper.make_tensor_value_info('out', dtype, list(outdata.shape))])
model = helper.make_model(graph, producer_name='where_test')

for target, ctx in ctx_list():
tvm_out = get_tvm_output(model, [condition, x, y], target, ctx, outdata.shape)
tvm.testing.assert_allclose(outdata, tvm_out)

def test_where():
condition = np.array([[1, 0], [1, 1]], dtype=np.bool)
x = np.array([[1, 2], [3, 4]], dtype=np.int64)
y = np.array([[9, 8], [7, 6]], dtype=np.int64)
outdata = np.where(condition, x, y)
verify_where(condition, x, y, TensorProto.INT64, outdata)

x = np.array([[1, 2], [3, 4]], dtype=np.float32)
y = np.array([[9, 8], [7, 6]], dtype=np.float32)
outdata = np.where(condition, x, y)
verify_where(condition, x, y, TensorProto.FLOAT, outdata)


if __name__ == '__main__':
test_flatten()
Expand Down Expand Up @@ -1347,3 +1373,4 @@ def test_erf():
test_and()
test_tile()
test_erf()
test_where()