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zhangkaihuo
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#!/usr/bin/env python3 | ||
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# Copyright (c) 2023 CINN 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. | ||
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import unittest | ||
import numpy as np | ||
from op_mapper_test import OpMapperTest, logger | ||
import paddle | ||
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class TestMatmulOp(OpMapperTest): | ||
def init_input_data(self): | ||
self.feed_data = { | ||
"x": self.random([16, 32], "float32"), | ||
"y": self.random([32, 16], "float32") | ||
} | ||
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def set_op_type(self): | ||
return "matmul" | ||
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def set_op_inputs(self): | ||
x = paddle.static.data('X', self.feed_data["x"].shape, | ||
self.feed_data["x"].dtype) | ||
x = paddle.static.data('Y', self.feed_data["y"].shape, | ||
self.feed_data["Y"].dtype) | ||
return {'X': [x], 'Y': [y]} | ||
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def set_op_attrs(self): | ||
return { | ||
"trans_x": False, | ||
"trans_y": False | ||
} | ||
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def set_op_outputs(self): | ||
return {'Out': [str(self.feed_data['x'].dtype)]} | ||
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def test_check_results(self): | ||
self.check_outputs_and_grads() | ||
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if __name__ == "__main__": | ||
unittest.main() |