From 27d7040151706711f27d51347872fdc317e2d01a Mon Sep 17 00:00:00 2001 From: qqj1130247885 <51647379+qqj1130247885@users.noreply.github.com> Date: Fri, 19 Aug 2022 16:36:35 +0800 Subject: [PATCH] Add Sum (#873) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Update onnx_decoder.py * Update opset.py * Update opset.py * Update opset.py * Update onnx_decoder.py * fix gemm and resize * add auto_test of 1 input ops * Update onnx_decoder.py * Update opset_legacy.py * Update opset_legacy.py * Update onnx_decoder.py * Update opset_legacy.py * Update opset_legacy.py * Update opset_legacy.py * Update test_auto_scan_one_input_ops_float32.py * Delete test_auto_scan_one_input_ops_float32.py * Create test_auto_scan_one_input_ops_float32.py * Update opset_legacy.py * test * add test of Tan * rename * add ops in directly map * keep op_legacy * Delete test_auto_scan_one_input_ops_float32.py * modify the name * fix * add ceil op * modify opset7 * Delete test_auto_scan_unarray_ops.py * add test of elu * Update test_auto_scan_unary_ops.py * Update test_auto_scan_elu.py * Update test_auto_scan_elu.py * fixx * test * test * test * test * add ref * add sinh + tanh * add sinh + tanh * add sinh + tanh * add sin Sinh tang * Update opset7.py * add :cosh,acosh,sinh,acosh * try * try * add Atanh * add Atanh * s * s * add Sqrt * s * add shape * s * add sign * add_celu * Delete test_auto_scan_elu.py * Delete test_auto_scan_unary_ops.py * Delete opset7.py * 复原 * add Celu * Update opset7.py * Update opset9.py * add selu * Update opset7.py * add relu * update relu datatype * Update opset14.py * fix code style * fix code style * add_hardsigmoid * add_reduce_op * fix * fix * add reduceL2 * remove log and exp * add selu in opset7 * Delete test_auto_scan_celu.py * Delete test_auto_scan_relu.py * Delete test_auto_scan_reduce_ops.py * Delete test_auto_scan_hardsigmoid.py * add selu in opset7 * add selu in opset12 * add selu in opset14 * Update opset7.py * Update opset12.py * Update opset14.py * Update test_auto_scan_unary_ops.py * Update opset14.py * add elu * fix style * fix style * remove onnx * add auto scan test of softplus * add auto scan test of sigmoid * add test of sum OP in version 7 * add test of sum OP in version 8 * add test of sum OP in version 8 * Delete test_auto_scan_elu.py * Delete test_auto_scan_unary_ops.py * remove * remove * retest * test --- tests/onnx/test_auto_scan_sum_7.py | 59 ++++++++++++++++++++++++++ tests/onnx/test_auto_scan_sum_8.py | 67 ++++++++++++++++++++++++++++++ 2 files changed, 126 insertions(+) create mode 100644 tests/onnx/test_auto_scan_sum_7.py create mode 100644 tests/onnx/test_auto_scan_sum_8.py diff --git a/tests/onnx/test_auto_scan_sum_7.py b/tests/onnx/test_auto_scan_sum_7.py new file mode 100644 index 0000000..d9b2877 --- /dev/null +++ b/tests/onnx/test_auto_scan_sum_7.py @@ -0,0 +1,59 @@ +# 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 +from onnxbase import randtool +import hypothesis.strategies as st +import numpy as np +import unittest + + +class TestSumConvert(OPConvertAutoScanTest): + """ + ONNX op: Sum + OPset version: 7 + """ + + def sample_convert_config(self, draw): + input1_shape = draw( + st.lists( + st.integers( + min_value=10, max_value=20), min_size=2, max_size=4)) + + input_dtype = draw(st.sampled_from(["float32"])) + + config = { + "op_names": ["Sum"], + "test_data_shapes": [input1_shape, input1_shape], + "test_data_types": [[input_dtype], [input_dtype]], + "inputs_shape": [], + "min_opset_version": 7, + "max_opset_version": 7, + "inputs_name": ["x", "y"], + "outputs_name": ["z"], + "delta": 1e-4, + "rtol": 1e-4 + } + + attrs = {} + + return (config, attrs) + + def test(self): + self.run_and_statis(max_examples=30) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/onnx/test_auto_scan_sum_8.py b/tests/onnx/test_auto_scan_sum_8.py new file mode 100644 index 0000000..303ee27 --- /dev/null +++ b/tests/onnx/test_auto_scan_sum_8.py @@ -0,0 +1,67 @@ +# 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 +from onnxbase import randtool +import hypothesis.strategies as st +import numpy as np +import unittest + + +class TestSumConvert(OPConvertAutoScanTest): + """ + ONNX op: Sum + OPset version: 8~15 + """ + + def sample_convert_config(self, draw): + input1_shape = draw( + st.lists( + st.integers( + min_value=10, max_value=20), min_size=2, max_size=4)) + + if draw(st.booleans()): + input2_shape = [input1_shape[-1]] + else: + input2_shape = input1_shape + + def generator_data(): + input_data = randtool("float", -5.0, 5.0, input2_shape) + input_data[abs(input_data) < 1.0] = 1.0 + return input_data + + input_dtype = draw(st.sampled_from(["float32"])) + config = { + "op_names": ["Sum"], + "test_data_shapes": [input1_shape, generator_data], + "test_data_types": [[input_dtype], [input_dtype]], + "inputs_shape": [], + "min_opset_version": 8, + "inputs_name": ["x", "y"], + "outputs_name": ["z"], + "delta": 1e-4, + "rtol": 1e-4 + } + + attrs = {} + + return (config, attrs) + + def test(self): + self.run_and_statis(max_examples=30) + + +if __name__ == "__main__": + unittest.main() -- GitLab