wehub-resource-sync
46 lines
1.6 KiB
C++
46 lines
1.6 KiB
C++
// Copyright (c) 2024 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 <memory>
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void LogLossXPUKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& label,
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float epsilon_in,
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DenseTensor* out) {
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auto* predict = &input;
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auto* labels = &label;
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auto* loss = out;
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auto epsilon = static_cast<T>(epsilon_in);
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dev_ctx.template Alloc<T>(loss);
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if (out && out->numel() == 0) return;
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int64_t n = predict->numel();
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int r = xpu::log_loss(dev_ctx.x_context(),
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predict->data<T>(),
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labels->data<T>(),
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loss->data<T>(),
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n,
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epsilon);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "log_loss");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(log_loss, XPU, ALL_LAYOUT, phi::LogLossXPUKernel, float) {}
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