cast_op_xpu.cc 4.1 KB
Newer Older
L
liuyuhui 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
/* 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 <memory>
17

L
liuyuhui 已提交
18
#include "paddle/fluid/framework/op_registry.h"
19
#include "paddle/fluid/operators/cast_op.h"
L
liuyuhui 已提交
20
#include "paddle/fluid/platform/float16.h"
21
#include "xpu/refactor/math.h"
L
liuyuhui 已提交
22 23 24 25

namespace paddle {
namespace operators {

26 27 28 29 30 31 32 33 34 35 36 37
template <typename T>
class XPUFPTypeTrait {
 public:
  using Type = T;
};

template <>
class XPUFPTypeTrait<platform::float16> {
 public:
  using Type = float16;
};

L
liuyuhui 已提交
38 39
template <typename DeviceContext, typename InT>
class CastXPUKernel : public framework::OpKernel<InT> {
40 41
  using XPUInTDType = typename XPUFPTypeTrait<InT>::Type;

L
liuyuhui 已提交
42 43 44 45 46 47 48 49 50
 public:
  void Compute(const framework::ExecutionContext& context) const override {
    auto* in = context.Input<framework::Tensor>("X");
    auto* out = context.Output<framework::Tensor>("Out");
    auto in_type = static_cast<framework::proto::VarType::Type>(
        context.Attr<int>("in_dtype"));
    auto out_type = static_cast<framework::proto::VarType::Type>(
        context.Attr<int>("out_dtype"));
    auto* in_data = in->data<InT>();
51 52

    // using XPUOutTDType = typename XPUFPTypeTrait<InT>::Type;
L
liuyuhui 已提交
53 54 55 56 57
    auto numel = in->numel();
    auto& dev_ctx = context.template device_context<DeviceContext>();
    int r = -1;
    if (out_type == framework::proto::VarType::FP32) {
      auto* out_data = out->mutable_data<float>(context.GetPlace());
58 59 60
      r = xpu::cast_v2<XPUInTDType, float>(
          dev_ctx.x_context(), reinterpret_cast<const XPUInTDType*>(in_data),
          out_data, numel);
L
liuyuhui 已提交
61 62
    } else if (out_type == framework::proto::VarType::INT32) {
      auto* out_data = out->mutable_data<int>(context.GetPlace());
63 64 65
      r = xpu::cast_v2<XPUInTDType, int32_t>(
          dev_ctx.x_context(), reinterpret_cast<const XPUInTDType*>(in_data),
          out_data, numel);
L
liuyuhui 已提交
66 67
    } else if (out_type == framework::proto::VarType::INT64) {
      auto* out_data = out->mutable_data<int64_t>(context.GetPlace());
68 69 70
      r = xpu::cast_v2<XPUInTDType, int64_t>(
          dev_ctx.x_context(), reinterpret_cast<const XPUInTDType*>(in_data),
          out_data, numel);
71 72 73 74 75 76
    } else if ((out_type == framework::proto::VarType::BOOL) &&
               (in_type == framework::proto::VarType::FP32)) {
      auto* out_data = out->mutable_data<bool>(context.GetPlace());
      r = xpu::cast_v2<float, int8_t>(
          dev_ctx.x_context(), (const float*)in_data,
          reinterpret_cast<int8_t*>(out_data), numel);
77 78 79 80 81 82 83
    } else if (out_type == framework::proto::VarType::FP16) {
      auto* out_data =
          out->mutable_data<paddle::platform::float16>(context.GetPlace());
      r = xpu::cast_v2<XPUInTDType, float16>(
          dev_ctx.x_context(), reinterpret_cast<const XPUInTDType*>(in_data),
          reinterpret_cast<float16*>(out_data), numel);

L
liuyuhui 已提交
84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101
    } else {
      PADDLE_THROW(platform::errors::Unavailable("Not supported cast %d -> %d",
                                                 in_type, out_type));
    }
    PADDLE_ENFORCE_EQ(
        r, XPU_SUCCESS,
        platform::errors::External(
            "XPU API return wrong value[%d], please check whether "
            "Baidu Kunlun Card is properly installed.",
            r));
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP_XPU_KERNEL(
102
    cast, ops::CastXPUKernel<paddle::platform::XPUDeviceContext, int32_t>,
L
liuyuhui 已提交
103
    ops::CastXPUKernel<paddle::platform::XPUDeviceContext, float>,
104 105
    ops::CastXPUKernel<paddle::platform::XPUDeviceContext,
                       paddle::platform::float16>,
L
liuyuhui 已提交
106 107
    ops::CastXPUKernel<paddle::platform::XPUDeviceContext, int64_t>);
#endif