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80 lines
3.3 KiB
80 lines
3.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <memory>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/cast_op.h"
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#include "paddle/fluid/platform/float16.h"
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#include "xpu/refactor/math.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename InT>
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class CastXPUKernel : public framework::OpKernel<InT> {
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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<framework::Tensor>("X");
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auto* out = context.Output<framework::Tensor>("Out");
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auto in_type = static_cast<framework::proto::VarType::Type>(
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context.Attr<int>("in_dtype"));
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auto out_type = static_cast<framework::proto::VarType::Type>(
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context.Attr<int>("out_dtype"));
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auto* in_data = in->data<InT>();
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auto numel = in->numel();
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auto& dev_ctx = context.template device_context<DeviceContext>();
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int r = -1;
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if (out_type == framework::proto::VarType::FP32) {
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auto* out_data = out->mutable_data<float>(context.GetPlace());
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r = xpu::cast_v2<InT, float>(dev_ctx.x_context(), in_data, out_data,
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numel);
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} else if (out_type == framework::proto::VarType::INT32) {
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auto* out_data = out->mutable_data<int>(context.GetPlace());
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r = xpu::cast_v2<InT, int32_t>(dev_ctx.x_context(), in_data, out_data,
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numel);
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} else if (out_type == framework::proto::VarType::INT64) {
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auto* out_data = out->mutable_data<int64_t>(context.GetPlace());
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r = xpu::cast_v2<InT, int64_t>(dev_ctx.x_context(), in_data, out_data,
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numel);
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} else if ((out_type == framework::proto::VarType::BOOL) &&
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(in_type == framework::proto::VarType::FP32)) {
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auto* out_data = out->mutable_data<bool>(context.GetPlace());
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r = xpu::cast_v2<float, int8_t>(
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dev_ctx.x_context(), (const float*)in_data,
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reinterpret_cast<int8_t*>(out_data), numel);
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} else {
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PADDLE_THROW(platform::errors::Unavailable("Not supported cast %d -> %d",
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in_type, out_type));
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}
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PADDLE_ENFORCE_EQ(
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r, XPU_SUCCESS,
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platform::errors::External(
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"XPU API return wrong value[%d], please check whether "
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"Baidu Kunlun Card is properly installed.",
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r));
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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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cast, ops::CastXPUKernel<paddle::platform::XPUDeviceContext, int32_t>,
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ops::CastXPUKernel<paddle::platform::XPUDeviceContext, float>,
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ops::CastXPUKernel<paddle::platform::XPUDeviceContext, int64_t>);
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#endif
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