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101 lines
2.9 KiB
101 lines
2.9 KiB
# Copyright (c) 2018 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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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.fluid.core as core
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def stable_softmax(x):
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"""Compute the softmax of vector x in a numerically stable way."""
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shiftx = x - np.max(x).clip(-64.)
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exps = np.exp(shiftx)
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return exps / np.sum(exps)
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class TestSoftmaxOp(OpTest):
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def setUp(self):
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self.op_type = "softmax"
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self.use_cudnn = False
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self.use_mkldnn = False
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self.dtype = np.float32
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self.init_kernel_type()
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x = np.random.uniform(0.1, 1, [10, 10]).astype(self.dtype)
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out = np.apply_along_axis(stable_softmax, 1, x)
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self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)}
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self.outputs = {'Out': out}
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self.attrs = {
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'use_cudnn': self.use_cudnn,
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'use_mkldnn': self.use_mkldnn
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}
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def init_kernel_type(self):
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pass
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def test_check_output(self):
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if self.use_cudnn:
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place = core.CUDAPlace(0)
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self.check_output_with_place(place, atol=1e-5)
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else:
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self.check_output()
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def test_check_grad(self):
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if self.dtype == np.float16:
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return
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if self.use_cudnn:
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place = core.CUDAPlace(0)
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self.check_grad_with_place(
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place, ["X"], "Out", max_relative_error=0.01)
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else:
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self.check_grad(["X"], "Out", max_relative_error=0.01)
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class TestSoftmaxCUDNNOp(TestSoftmaxOp):
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def init_kernel_type(self):
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self.use_cudnn = True
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class TestSoftmaxFP16Op(TestSoftmaxOp):
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def init_kernel_type(self):
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self.dtype = np.float16
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def test_check_output(self):
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if core.is_compiled_with_cuda():
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place = core.CUDAPlace(0)
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if core.is_float16_supported(place):
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self.check_output_with_place(place, atol=1e-3)
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class TestSoftmaxFP16CUDNNOp(TestSoftmaxOp):
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def init_kernel_type(self):
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self.use_cudnn = True
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self.dtype = np.float16
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def test_check_output(self):
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if core.is_compiled_with_cuda():
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place = core.CUDAPlace(0)
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if core.is_float16_supported(place):
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self.check_output_with_place(place, atol=1e-3)
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class TestSoftmaxMKLDNNOp(TestSoftmaxOp):
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def init_kernel_type(self):
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self.use_mkldnn = True
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if __name__ == "__main__":
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unittest.main()
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