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68 lines
2.3 KiB
68 lines
2.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <limits>
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/platform/hostdevice.h"
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namespace paddle {
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namespace operators {
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namespace math {
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template <typename T>
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struct TolerableValue {
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HOSTDEVICE T operator()(const T& x) const {
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PADDLE_ASSERT(std::is_floating_point<T>::value);
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const T kApproInf = 1e20;
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if (x == INFINITY) return kApproInf;
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if (x == -INFINITY) return -kApproInf;
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return x;
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}
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};
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// NOTE(dzh): float16 value clip behave different.
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// 1. Our ValueClipping has a hardcore threshold 1e20
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// for float number. 1e20 will resulting in overflow in float16.
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// 2. float16 should expose the the real number overflow to python.
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// because mixed-training depends the inf/nan value to determine
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// if the scale value will be adjusted.
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// Also. In standard implementation of cross entropy, other
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// framework not has the ValueClipping.
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template <>
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struct TolerableValue<platform::float16> {
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HOSTDEVICE platform::float16 operator()(const platform::float16& x) const {
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if (platform::isfinite(x))
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return x;
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else if (x > static_cast<platform::float16>(0))
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return std::numeric_limits<platform::float16>::max();
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else
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return std::numeric_limits<platform::float16>::min();
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}
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};
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template <typename DeviceContext, typename T>
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class CrossEntropyFunctor {
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public:
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void operator()(const DeviceContext& context, framework::Tensor* out,
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const framework::Tensor* prob,
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const framework::Tensor* labels, const bool softLabel,
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const int ignore_index);
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};
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} // namespace math
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} // namespace operators
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} // namespace paddle
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