[oneDNN]Sum bf16 kernel (#28382)
* - Added sum bf16 oneDNN test=develop * - Fix to UT of sum bf16 test=developTCChenlong-patch-1
Jacek Czaja
5 years ago
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GitHub
parent
648b92c093
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ca41541472
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# 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 paddle.fluid.core as core
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from paddle.fluid.tests.unittests.test_sum_op import TestSumOp
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from paddle.fluid.tests.unittests.op_test import OpTest, convert_float_to_uint16
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from paddle import enable_static
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import numpy as np
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import paddle.fluid.op as fluid_op
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@unittest.skipIf(not core.supports_bfloat16(),
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"place does not support BF16 evaluation")
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class TestSumMKLDNN(TestSumOp):
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def setUp(self):
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self.op_type = "sum"
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self.use_mkldnn = True
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self.mkldnn_data_type = "bfloat16"
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# float32 input to be use for reference
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x0 = np.random.random((25, 8)).astype('float32')
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x1 = np.random.random((25, 8)).astype('float32')
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x2 = np.random.random((25, 8)).astype('float32')
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# actual input (bf16) to bf16 sum op
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x0_bf16 = convert_float_to_uint16(x0)
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x1_bf16 = convert_float_to_uint16(x1)
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x2_bf16 = convert_float_to_uint16(x2)
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self.inputs = {"X": [("x0", x0_bf16), ("x1", x1_bf16), ("x2", x2_bf16)]}
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y = x0 + x1 + x2
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self.outputs = {'Out': convert_float_to_uint16(y)}
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self.attrs = {'use_mkldnn': self.use_mkldnn}
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def test_check_output(self):
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self.check_output_with_place(core.CPUPlace())
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def test_check_grad(self):
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pass
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if __name__ == '__main__':
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enable_static()
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unittest.main()
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