未验证 提交 077aa382 编写于 作者: R risemeup1 提交者: GitHub

move label_smmoth XPU kernel to PHI,test=kunlun (#45571)

* move label_smmoth XPU kernel to PHI,test=kunlun

* delete label_smooth_op_xpu.cc and modfied label_smooth_kernel.cc,test=kunlun

* delete add_label_smooth.cc,test=kunlun
上级 1fa1d114
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#ifdef PADDLE_WITH_XPU
#include "paddle/fluid/framework/op_registry.h"
namespace paddle {
namespace operators {
template <typename DeviceContext, typename T>
class LabelSmoothXPUKernel : public framework::OpKernel<T> {
public:
void Compute(const framework::ExecutionContext& ctx) const {
auto* out_t = ctx.Output<framework::LoDTensor>("Out");
auto* in_t = ctx.Input<framework::LoDTensor>("X");
auto* dist_t = ctx.Input<framework::Tensor>("PriorDist");
auto label_dim = in_t->dims()[in_t->dims().size() - 1];
auto ptr = out_t->mutable_data<T>(ctx.GetPlace());
auto epsilon = ctx.Attr<float>("epsilon");
auto& dev_ctx = ctx.template device_context<DeviceContext>();
if (dist_t) {
PADDLE_THROW(
platform::errors::External("XPU doesn't support dist label smooth"));
} else {
int r = xpu::label_smooth<T>(dev_ctx.x_context(),
in_t->data<T>(),
ptr,
in_t->numel(),
epsilon,
label_dim);
PADDLE_ENFORCE_EQ(
r,
XPU_SUCCESS,
platform::errors::External("XPU API(label_smooth) return wrong "
"value[%d %s]",
r,
XPUAPIErrorMsg[r]));
}
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP_XPU_KERNEL(
label_smooth,
ops::LabelSmoothXPUKernel<paddle::platform::XPUDeviceContext, float>);
#endif
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/label_smooth_kernel.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
template <typename T, typename Context>
void LabelSmoothKernel(const Context& ctx,
const DenseTensor& label,
const paddle::optional<DenseTensor>& prior_dist,
float epsilon,
DenseTensor* out) {
auto label_dim = label.dims()[label.dims().size() - 1];
auto ptr = ctx.template Alloc<T>(out);
if (prior_dist.is_initialized()) {
PADDLE_THROW(
phi::errors::External("XPU doesn't support dist label smooth"));
} else {
int r = xpu::label_smooth<T>(ctx.x_context(),
label.data<T>(),
ptr,
label.numel(),
epsilon,
label_dim);
PADDLE_ENFORCE_EQ(
r,
XPU_SUCCESS,
phi::errors::External("XPU API(label_smooth) return wrong "
"value[%d %s]",
r,
XPUAPIErrorMsg[r]));
}
}
} // namespace phi
PD_REGISTER_KERNEL(
label_smooth, XPU, ALL_LAYOUT, phi::LabelSmoothKernel, float) {}
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