diff --git a/tests/onnx/test_auto_scan_nonzero.py b/tests/onnx/test_auto_scan_nonzero.py new file mode 100644 index 0000000000000000000000000000000000000000..9f767e65b77427839b0b917e57c37905697e4b5b --- /dev/null +++ b/tests/onnx/test_auto_scan_nonzero.py @@ -0,0 +1,56 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License" +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from auto_scan_test import OPConvertAutoScanTest +from hypothesis import reproduce_failure +import hypothesis.strategies as st +import numpy as np +import unittest +import random + + +class TestNonZeroConcert(OPConvertAutoScanTest): + """ + ONNX op: NonZero + OPset version: 9~15 + """ + + def sample_convert_config(self, draw): + input_shape = draw( + st.lists( + st.integers( + min_value=10, max_value=20), min_size=1, max_size=3)) + input_dtype = draw(st.sampled_from(["float32", "int32"])) + + config = { + "op_names": ["NonZero", ], + "test_data_shapes": [input_shape], + "test_data_types": [input_dtype], + "inputs_shape": [input_shape], + "min_opset_version": 9, + "inputs_name": ["x"], + "outputs_name": ["y"], + "delta": 1e-4, + "rtol": 1e-4, + "run_dynamic": True, + } + attrs = {} + return (config, attrs) + + def test(self): + self.run_and_statis(max_examples=50) + + +if __name__ == "__main__": + unittest.main() diff --git a/x2paddle/op_mapper/onnx2paddle/opset_legacy.py b/x2paddle/op_mapper/onnx2paddle/opset_legacy.py index 5f39b35c603c2d25387216f28dff7500b4c49fa3..cac210db258eaf61ca7dc96b0a1a5daa17c6022c 100644 --- a/x2paddle/op_mapper/onnx2paddle/opset_legacy.py +++ b/x2paddle/op_mapper/onnx2paddle/opset_legacy.py @@ -1946,9 +1946,12 @@ class OpSet(): "paddle.nonzero", inputs={"x": val_x.name}, outputs=[val_x.name], - as_tuple=True) + as_tuple=False) self.paddle_graph.add_layer( - "paddle.concat", inputs={"x": val_x.name}, outputs=[node.name]) + 'paddle.transpose', + inputs={"x": val_x.name}, + outputs=[node.name], + perm=[1, 0]) @print_mapping_info def Identity(self, node):