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Add split transpose optimizer tests #1923

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Merged
merged 4 commits into from
May 6, 2022
Merged

Add split transpose optimizer tests #1923

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9eb4694
add split transpose optimizer tests
hwangdeyu Apr 25, 2022
3739c79
add dynamic split optimizer test
hwangdeyu Apr 29, 2022
b83874a
improve code quality
hwangdeyu Apr 29, 2022
4294b38
Merge branch 'main' into transpose_split_optimizer
hwangdeyu Apr 29, 2022
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46 changes: 46 additions & 0 deletions tests/test_optimizers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -116,6 +116,52 @@ def test_transpose_with_concat(self, input_shape, perm, inner_perm):
}
self.run_transpose_compare(["res"], feed_dict, model_proto, remaining_transpose_num=1)

@parameterized.expand([
((2, 3, 4, 5), [0, 3, 1, 2], [0, 2, 3, 1]),
((2, 3, 4, 5, 6), [0, 4, 1, 2, 3], [0, 2, 3, 4, 1]),
((2, 3, 4, 5, 6), [0, 2, 3, 4, 1], [0, 4, 1, 2, 3]),
])
def test_transpose_with_split(self, input_shape, perm, inner_perm):
input_shape_with_trans = [input_shape[i] for i in perm]
for axis in range(len(input_shape)):
output_before_trans = list(input_shape)
output_shape = [output_before_trans[i] for i in perm]
node1 = helper.make_node("Transpose", ["X"], ["Y"], perm=inner_perm, name="trans1")
node2 = helper.make_node("Split", ["Y"], ["Z"], axis=axis, name="split")
node3 = helper.make_node("Transpose", ["Z"], ["res"], perm=perm, name="trans2")

graph = helper.make_graph(
[node1, node2, node3],
"test_transpose_with_split",
[helper.make_tensor_value_info("X", TensorProto.FLOAT, input_shape_with_trans)],
[helper.make_tensor_value_info("res", TensorProto.FLOAT, output_shape)],
)

model_proto = self.make_model(graph, producer_name="onnx-tests")
feed_dict = {"X": np.random.randn(*input_shape_with_trans).astype(np.float32)}
self.run_transpose_compare(["res"], feed_dict, model_proto, remaining_transpose_num=0)

@parameterized.expand([
((1, -1), (1, 1710), (1710,), [1, 0]),
((3, 1, 1, 5, -1), (3, 1, 1, 5, 6), (3, 5, 6), [0, 2, 3, 4, 1]),
])
@check_opset_max_version(12, "split attribute changed to input in opset 13")
def test_transpose_with_split_dynamic_shape(self, input_shape, specific_input, output_shape, perm):
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Test for #1809.

node1 = helper.make_node("Transpose", ["X"], ["Y"], perm=perm, name="trans")
node2 = helper.make_node("Split", ["Y"], ["Z"], axis=1, split=[1], name="split")
node3 = helper.make_node("Squeeze", ["Z"], ["B"], name="squeeze")

graph = helper.make_graph(
[node1, node2, node3],
"test_transpose_with_split_dynamic_shape",
[helper.make_tensor_value_info("X", TensorProto.FLOAT, input_shape)],
[helper.make_tensor_value_info("B", TensorProto.FLOAT, output_shape)],
)

model_proto = self.make_model(graph, producer_name="onnx-tests")
self.run_transpose_compare(["B"], {"X": np.random.randn(*specific_input).astype(np.float32)},
model_proto, remaining_transpose_num=0)

@parameterized.expand([
((2, 3, 4), [2, 0, 1], [1, 2, 0]),
((2, 3, 4, 5), [0, 2, 3, 1], [0, 3, 1, 2]),
Expand Down