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78 lines
2.8 KiB
78 lines
2.8 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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import paddle
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import paddle.fluid as fluid
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import paddle.tensor as tensor
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from paddle.fluid import Program, program_guard
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class TestBmmOp(OpTest):
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def setUp(self):
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self.op_type = "bmm"
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X = np.random.random((10, 3, 4)).astype("float64")
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Y = np.random.random((10, 4, 5)).astype("float64")
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self.inputs = {'X': X, 'Y': Y}
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Out = np.matmul(X, Y)
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self.outputs = {'Out': Out}
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def test_check_output(self):
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self.check_output()
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def test_checkout_grad(self):
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self.check_grad(['X', 'Y'], 'Out')
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class API_TestBmm(unittest.TestCase):
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def test_out(self):
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with fluid.program_guard(fluid.Program(), fluid.Program()):
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data1 = fluid.layers.data(
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'data1', shape=[-1, 3, 4], dtype='float64')
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data2 = fluid.layers.data(
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'data2', shape=[-1, 4, 5], dtype='float64')
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result_bmm = paddle.bmm(data1, data2)
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place = fluid.CPUPlace()
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exe = fluid.Executor(place)
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input1 = np.random.random([10, 3, 4]).astype('float64')
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input2 = np.random.random([10, 4, 5]).astype('float64')
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result, = exe.run(feed={"data1": input1,
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"data2": input2},
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fetch_list=[result_bmm])
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expected_result = np.matmul(input1, input2)
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self.assertTrue(np.allclose(expected_result, result))
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class API_TestDygraphBmm(unittest.TestCase):
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def test_out(self):
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input1 = np.array([[[1.0, 1.0, 1.0], [2.0, 2.0, 2.0]],
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[[3.0, 3.0, 3.0], [4.0, 4.0, 4.0]]])
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input2 = np.array([[[1.0, 1.0], [2.0, 2.0], [3.0, 3.0]],
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[[4.0, 4.0], [5.0, 5.0], [6.0, 6.0]]])
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with fluid.dygraph.guard():
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x = fluid.dygraph.to_variable(input1)
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y = fluid.dygraph.to_variable(input2)
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out = paddle.bmm(x, y)
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out_np = out.numpy()
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expected_result = np.matmul(input1, input2)
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self.assertTrue(np.allclose(expected_result, out_np))
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if __name__ == "__main__":
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unittest.main()
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