soiferj commented on a change in pull request #4483: [WIP][relay][op] add
expand op (from ONNX) to relay frontend
URL: https://github.com/apache/incubator-tvm/pull/4483#discussion_r356199633
##########
File path: tests/python/frontend/onnx/test_forward.py
##########
@@ -142,6 +142,37 @@ def test_reshape():
tvm.testing.assert_allclose(ref_shape, tvm_out.shape)
+def test_expand():
+ in_shape = (1, 3, 1, 4)
+ shape = (4, 3, 3, 4)
+ ref_shape = (4, 3, 3, 4)
+
+ shape_array = np.array(shape)
+ ref_node = onnx.helper.make_node('Constant',
+ inputs=[],
+ outputs=['shape'],
+ value=onnx.helper.make_tensor(name =
'const_tensor',
+ data_type =
onnx.TensorProto.INT32,
+ dims =
shape_array.shape,
+ vals =
shape_array.flatten().astype(int)))
+ expand_node = helper.make_node("Expand", ["in", "shape"], ["out"])
+
+ graph = helper.make_graph([ref_node, expand_node],
+ "expand_node",
+ inputs = [helper.make_tensor_value_info("in",
+ TensorProto.FLOAT,
list(in_shape))],
+ outputs = [helper.make_tensor_value_info("out",
+ TensorProto.FLOAT,
list(ref_shape))])
+
+ model = helper.make_model(graph, producer_name='expand_test')
+
+ for target, ctx in ctx_list():
+ x = np.random.uniform(size=in_shape).astype('int32')
+ tvm_out = get_tvm_output(model, x, target, ctx, ref_shape, 'float32')
+
+ tvm.testing.assert_allclose(ref_shape, tvm_out.shape)
Review comment:
What's the error that you're seeing when you run the test?
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