gather_op_xpu.cc

/* Copyright (c) 2020 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/operators/gather_op.h"
#include <memory>
#include <string>
#include <vector>
#include "paddle/fluid/framework/ddim.h"
#include "paddle/fluid/framework/op_version_registry.h"
namespace paddle {
namespace operators {

template <typename T>
class GatherOpXPUKernel : public framework::OpKernel<T> {
 public:
  void Compute(const framework::ExecutionContext &ctx) const override {
    PADDLE_ENFORCE_EQ(
        platform::is_xpu_place(ctx.GetPlace()), true,
        platform::errors::PreconditionNotMet("This kernel only runs on XPU."));

    auto *x = ctx.Input<Tensor>("X");
    auto *index = ctx.Input<Tensor>("Index");
    auto *output = ctx.Output<Tensor>("Out");
    if (ctx.HasInput("Axis")) {
      PADDLE_THROW(platform::errors::InvalidArgument(
          "Now, it doesn't support XPU with Axis."));
    }

    output->mutable_data<T>(ctx.GetPlace());
    if (x->numel() == 0) return;
    // check index type is INT32
    const auto &index_type = index->type();
    bool index_type_match = index_type == framework::proto::VarType::INT32;
    PADDLE_ENFORCE_EQ(
        index_type_match, true,
        platform::errors::InvalidArgument(
            "XPU only support INT32, it holds %s, but desires to be %s",
            paddle::framework::DataTypeToString(index_type),
            paddle::framework::DataTypeToString(
                framework::proto::VarType::INT32)));

    const auto index_dims = index->dims();
    if (index_dims.size() == 2) {
      PADDLE_ENFORCE_EQ(
          index_dims[1], 1,
          platform::errors::InvalidArgument(
              "The last dim of index should be 1 when it is 2D, but we get %d",
              index_dims[1]));
    } else {
      PADDLE_ENFORCE_EQ(
          index_dims.size(), 1,
          platform::errors::InvalidArgument(
              "The index should be 1D, when it is not 2D, but we get %d",
              index_dims.size()));
    }
    int slice_size = x->numel() / x->dims()[0];
    auto &dev_ctx = ctx.template device_context<platform::XPUDeviceContext>();
    int r =
        xpu::gather<T>(dev_ctx.x_context(), x->data<T>(), index->data<int>(),
                       index->dims()[0], slice_size, output->data<T>());
    PADDLE_ENFORCE_EQ(
        r, xpu::Error_t::SUCCESS,
        platform::errors::External("XPU kernel error! error code=%d", r));
  }
};

template <typename T>
class GatherGradOpXPUKernel : public framework::OpKernel<T> {
 public:
  void Compute(const framework::ExecutionContext &ctx) const override {
    PADDLE_ENFORCE_EQ(
        platform::is_xpu_place(ctx.GetPlace()), true,
        platform::errors::PreconditionNotMet("This kernel only runs on XPU."));

    auto *index = ctx.Input<Tensor>("Index");
    auto *dx = ctx.Output<Tensor>(framework::GradVarName("X"));
    auto *dout = ctx.Input<Tensor>(framework::GradVarName("Out"));
    auto &dev_ctx = ctx.template device_context<platform::XPUDeviceContext>();

    if (ctx.HasInput("Axis")) {
      PADDLE_THROW(platform::errors::InvalidArgument(
          "Now, it doesn't support XPU with Axis."));
    }

    dx->mutable_data<T>(ctx.GetPlace());
    const int zero = 0;
    int r_dx = xpu::memset(dev_ctx.x_context(), dx->data<T>(), zero,
                           dx->numel() * sizeof(T));
    PADDLE_ENFORCE_EQ(
        r_dx, xpu::Error_t::SUCCESS,
        platform::errors::External("XPU kernel error! error code=%d", r_dx));

    if (dout->numel() == 0) {
      return;
    }
    bool overwrite = ctx.Attr<bool>("overwrite");
    // check index type is INT32
    const auto &index_type = index->type();
    bool index_type_match = index_type == framework::proto::VarType::INT32;
    PADDLE_ENFORCE_EQ(
        index_type_match, true,
        platform::errors::InvalidArgument(
            "XPU only support INT32, it holds %s, but desires to be %s",
            paddle::framework::DataTypeToString(index_type),
            paddle::framework::DataTypeToString(
                framework::proto::VarType::INT32)));

    const auto index_dims = index->dims();
    if (index_dims.size() == 2) {
      PADDLE_ENFORCE_EQ(
          index_dims[1], 1,
          platform::errors::InvalidArgument(
              "The last dim of index should be 1 when it is 2D, but we get %d",
              index_dims[1]));
    } else {
      PADDLE_ENFORCE_EQ(
          index_dims.size(), 1,
          platform::errors::InvalidArgument(
              "The index should be 1D, when it is not 2D, but we get %d",
              index_dims.size()));
    }

    int index_size = index_dims[0];
    int slice_size = dout->numel() / dout->dims()[0];

    int r = xpu::scatter<T>(dev_ctx.x_context(), dout->data<T>(),
                            index->data<int>(), index_size, slice_size,
                            dx->data<T>(), overwrite);
    PADDLE_ENFORCE_EQ(
        r, xpu::Error_t::SUCCESS,
        platform::errors::External("XPU kernel error! error code=%d", r));
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP_XPU_KERNEL(gather, ops::GatherOpXPUKernel<float>);
REGISTER_OP_XPU_KERNEL(gather_grad, ops::GatherGradOpXPUKernel<float>);
#endif