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72 lines
2.5 KiB
72 lines
2.5 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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#ifdef PADDLE_WITH_XPU
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/framework.pb.h"
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#include "paddle/fluid/operators/one_hot_op.h"
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namespace paddle {
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namespace operators {
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using LoDTensor = framework::LoDTensor;
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using Tensor = framework::Tensor;
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template <typename DeviceContext, typename T>
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class OneHotXPUKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* in = context.Input<LoDTensor>("X");
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auto* out = context.Output<LoDTensor>("Out");
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int depth = context.Attr<int>("depth");
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if (context.HasInput("depth_tensor")) {
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auto* depth_tensor = context.Input<Tensor>("depth_tensor");
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auto* depth_data = depth_tensor->data<int32_t>();
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if (depth_tensor->place() == platform::XPUPlace()) {
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xpu_memcpy(static_cast<void*>(&depth),
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static_cast<const void*>(depth_data), sizeof(int32_t),
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XPU_DEVICE_TO_HOST);
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} else {
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depth = depth_data[0];
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}
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auto in_dims = in->dims();
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framework::DDim out_dims(in_dims);
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out_dims[out_dims.size() - 1] = depth;
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out->Resize(out_dims);
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}
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auto& dev_ctx = context.template device_context<DeviceContext>();
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int len = in->numel();
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int ret = xpu::one_hot<T>(dev_ctx.x_context(), in->data<T>(),
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out->mutable_data<float>(context.GetPlace()), len,
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depth);
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PADDLE_ENFORCE_EQ(ret, XPU_SUCCESS,
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platform::errors::External(
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"XPU one_hot kernel return wrong value[%d %s]", ret,
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XPUAPIErrorMsg[ret]));
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_XPU_KERNEL(
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one_hot, ops::OneHotXPUKernel<paddle::platform::XPUDeviceContext, int>,
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ops::OneHotXPUKernel<paddle::platform::XPUDeviceContext, int64_t>);
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#endif
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