/* 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 #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/cast_op.h" #include "paddle/fluid/platform/float16.h" #include "xpu/refactor/math.h" namespace paddle { namespace operators { template class XPUFPTypeTrait { public: using Type = T; }; template <> class XPUFPTypeTrait { public: using Type = float16; }; template class CastXPUKernel : public framework::OpKernel { using XPUInTDType = typename XPUFPTypeTrait::Type; public: void Compute(const framework::ExecutionContext& context) const override { auto* in = context.Input("X"); auto* out = context.Output("Out"); auto in_type = static_cast( context.Attr("in_dtype")); auto out_type = static_cast( context.Attr("out_dtype")); auto* in_data = in->data(); // using XPUOutTDType = typename XPUFPTypeTrait::Type; auto numel = in->numel(); auto& dev_ctx = context.template device_context(); int r = -1; if (out_type == framework::proto::VarType::FP32) { auto* out_data = out->mutable_data(context.GetPlace()); r = xpu::cast_v2( dev_ctx.x_context(), reinterpret_cast(in_data), out_data, numel); } else if (out_type == framework::proto::VarType::INT32) { auto* out_data = out->mutable_data(context.GetPlace()); r = xpu::cast_v2( dev_ctx.x_context(), reinterpret_cast(in_data), out_data, numel); } else if (out_type == framework::proto::VarType::INT64) { auto* out_data = out->mutable_data(context.GetPlace()); r = xpu::cast_v2( dev_ctx.x_context(), reinterpret_cast(in_data), out_data, numel); } else if ((out_type == framework::proto::VarType::BOOL) && (in_type == framework::proto::VarType::FP32)) { auto* out_data = out->mutable_data(context.GetPlace()); r = xpu::cast_v2( dev_ctx.x_context(), (const float*)in_data, reinterpret_cast(out_data), numel); } else if (out_type == framework::proto::VarType::FP16) { auto* out_data = out->mutable_data(context.GetPlace()); r = xpu::cast_v2( dev_ctx.x_context(), reinterpret_cast(in_data), reinterpret_cast(out_data), numel); } 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( cast, ops::CastXPUKernel, ops::CastXPUKernel, ops::CastXPUKernel, ops::CastXPUKernel); #endif