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[XPU] Support several ops on precision of fp16.
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| // Copyright (c) 2023 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. | ||
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| #include "lite/kernels/xpu/cos_compute.h" | ||
| #include "lite/backends/xpu/xpu_header_sitter.h" | ||
| #include "lite/core/op_registry.h" | ||
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| namespace paddle { | ||
| namespace lite { | ||
| namespace kernels { | ||
| namespace xpu { | ||
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| template <typename T, PrecisionType PType> | ||
| void CosCompute<T, PType>::Run() { | ||
| auto& param = this->template Param<param_t>(); | ||
| auto& ctx = this->ctx_->template As<XPUContext>(); | ||
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| int r = xdnn::cos(ctx.GetRawContext(), | ||
| param.X->template data<T>(), | ||
| param.Out->template mutable_data<T>(TARGET(kXPU)), | ||
| param.X->numel()); | ||
| CHECK_EQ(r, 0); | ||
| } | ||
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| } // namespace xpu | ||
| } // namespace kernels | ||
| } // namespace lite | ||
| } // namespace paddle | ||
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| namespace xpu = paddle::lite::kernels::xpu; | ||
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| using cosFP32 = | ||
| paddle::lite::kernels::xpu::CosCompute<float, PRECISION(kFloat)>; | ||
| using cosFP16 = | ||
| paddle::lite::kernels::xpu::CosCompute<float16, PRECISION(kFP16)>; | ||
| REGISTER_LITE_KERNEL(cos, kXPU, kFloat, kNCHW, cosFP32, def) | ||
| .BindInput("X", {LiteType::GetTensorTy(TARGET(kXPU))}) | ||
| .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kXPU))}) | ||
| .Finalize(); | ||
| REGISTER_LITE_KERNEL(cos, kXPU, kFP16, kNCHW, cosFP16, cosFP16) | ||
| .BindInput("X", {LiteType::GetTensorTy(TARGET(kXPU), PRECISION(kFP16))}) | ||
| .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kXPU), PRECISION(kFP16))}) | ||
| .Finalize(); |
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