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neilisaac / torch   python

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Version: 1.8.0 

/ include / caffe2 / operators / unsafe_coalesce.h

#ifndef CAFFE2_OPERATORS_UNSAFE_COALESCE_OP_H_
#define CAFFE2_OPERATORS_UNSAFE_COALESCE_OP_H_

#include "caffe2/core/context.h"
#include "caffe2/core/export_caffe2_op_to_c10.h"
#include "caffe2/core/operator.h"


namespace caffe2 {

template <class Context>
class UnsafeCoalesceOp final : public Operator<Context> {
 public:
  USE_OPERATOR_CONTEXT_FUNCTIONS;
  using Operator<Context>::Operator;

  bool RunOnDevice() override {
    size_t coalesced_size = 0;
    for (int i = 0; i < InputSize(); ++i) {
      // For now only float type is supported
      CAFFE_ENFORCE(
          Input(i).dtype().template Match<float>(),
          "Must only coalesce float type, error at input: ",
          i);
    }

    for (int i = 0; i < InputSize(); ++i) {
      coalesced_size += Input(i).numel();
    }
    auto* coalesced = Output(OutputSize() - 1, coalesced_size, at::dtype<float>());
    auto coalesced_data = coalesced->template mutable_data<float>();

    size_t coalesced_offset = 0;
    for (auto i = 0; i < InputSize(); ++i) {
      const auto num_elems = Input(i).numel();
      auto input_sizes = Input(i).sizes().vec();
      // Don't do anything if both tensors are already pointing on the same data
      auto input_data = Input(i).template data<float>();
      if (input_data != coalesced_data + coalesced_offset) {
        // Make sure that we don't run operation on the same tensor
        CAFFE_ENFORCE_NE(
            input_data - Input(i).unsafeGetTensorImpl()->storage_offset(),
            coalesced_data -
                Output(OutputSize() - 1)
                    ->unsafeGetTensorImpl()
                    ->storage_offset(),
            "Tensors used in UnsafeCoalesce operator cannot share storage, unless it's inplace operation");
        context_.CopyItemsSameDevice(
            Input(i).dtype(),
            num_elems,
            input_data,
            coalesced_data + coalesced_offset);

        // Note: this could cause Input(i) to free it's data if
        // Output(i) and Input(i) alias each other. This is safe on a
        // GPU (as the copy will happen-before the free), but it's
        // worth mentioning.
        OperatorBase::SetOutputTensor(i, coalesced->Alias());
        Output(i)->unsafeGetTensorImpl()->set_storage_offset(coalesced_offset);
        Output(i)->Resize(input_sizes);
      }
      coalesced_offset += num_elems;
    }
    return true;
  }
};
} // namespace caffe2

#endif /* CAFFE2_OPERATORS_UNSAFE_COALESCE_OP_H_ */