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// Copyright (c) 2022 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_IPU
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/platform/device/ipu/ipu_backend.h"
namespace paddle {
namespace operators {
class IpuRuntimeOp : public framework::OperatorBase {
public:
IpuRuntimeOp(const std::string& type,
const framework::VariableNameMap& inputs,
const framework::VariableNameMap& outputs,
const framework::AttributeMap& attrs)
: OperatorBase(type, inputs, outputs, attrs) {}
private:
void RunImpl(const framework::Scope& scope, const phi::Place& place) const {
auto ipu_backend = platform::ipu::IpuBackend::GetInstance();
auto* dev_ctx = phi::DeviceContextPool::Instance().Get(place);
framework::RuntimeContext runtime_ctx(inputs_, outputs_, scope);
framework::ExecutionContext ctx(*this, scope, *dev_ctx, runtime_ctx);
auto inputs = ctx.MultiInput<DenseTensor>("FeedList");
auto outputs = ctx.MultiOutput<DenseTensor>("FetchList");
auto output_names = ctx.OutputNames("FetchList");
VLOG(4) << "IpuRuntime Kernel, begin to run graph";
ipu_backend->Run(inputs, outputs, ctx);
// post-run
// resize tensor when tensor.dims() is empty
for (size_t i = 0; i < outputs.size(); ++i) {
auto* out = outputs[i];
if (out->dims().size() == 0) {
auto sizeof_dtype = phi::SizeOf(out->dtype());
int64_t dim = out->memory_size() / sizeof_dtype;
out->Resize({dim});
VLOG(10) << "set ipu_runtime_op output: " << output_names[i]
<< " dims from () to: "
<< "(" << dim << ")";
}
}
}
};
class IpuRuntimeOpMaker : public framework::OpProtoAndCheckerMaker {
public:
void Make() override {
AddInput("FeedList", "FeedList of Graph").AsDuplicable();
AddOutput("FetchList", "FetchList of Graph").AsDuplicable();
AddComment(R"DOC(
Run graph by PopART runtime.
)DOC");
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OPERATOR(ipu_runtime, ops::IpuRuntimeOp, ops::IpuRuntimeOpMaker);
#endif // PADDLE_WITH_IPU