wehub-resource-sync
60 lines
2.0 KiB
C++
60 lines
2.0 KiB
C++
// Copyright (c) 2022 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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#include "paddle/phi/kernels/bce_loss_kernel.h"
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#include <algorithm> // for max
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/math.h"
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namespace phi {
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template <typename T, typename Context>
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void BCELossKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& label,
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DenseTensor* out) {
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auto x_data = input.data<T>();
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auto label_data = label.data<T>();
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auto out_data = dev_ctx.template Alloc<T>(out);
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auto x_numel = input.numel();
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// out = -(label * ln(x) + (1 - label) * ln(1 - x)) = (label - 1) * ln(1 -
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// x) - label * ln(x)
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for (int64_t i = 0; i < x_numel; ++i) {
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PADDLE_ENFORCE_GE(
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x_data[i],
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static_cast<T>(0),
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common::errors::InvalidArgument(
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"Illegal input, input must be greater than or equal to 0"));
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PADDLE_ENFORCE_LE(
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x_data[i],
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static_cast<T>(1),
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common::errors::InvalidArgument(
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"Illegal input, input must be less than or equal to 1"));
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out_data[i] =
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(label_data[i] - static_cast<T>(1)) *
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std::max(funcs::real_log(static_cast<T>(1) - x_data[i]),
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(T)(-100)) -
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label_data[i] * std::max(funcs::real_log(x_data[i]), (T)(-100));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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bce_loss, CPU, ALL_LAYOUT, phi::BCELossKernel, float, double) {}
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