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#pragma once
#include <c10/core/Storage.h>
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
namespace caffe2 {
#ifndef C10_MOBILE
struct CAFFE2_API OfflineTensor {
// A shell tensor to record shape and dtype
Tensor shape_tensor{CPU};
void setShapeAndType(
const std::vector<int>& sizes,
at::Device device,
caffe2::TypeMeta data_type) {
shape_tensor.unsafeGetTensorImpl()->set_storage_and_dtype(
at::Storage::create_legacy(device), data_type);
shape_tensor.Resize(sizes);
CHECK(!shape_tensor.storage_initialized());
CHECK(shape_tensor.dtype_initialized());
}
};
class OfflineTensorShapeFunctions : public ExternalTensorFunctionsBase {
public:
explicit OfflineTensorShapeFunctions() : ExternalTensorFunctionsBase() {}
~OfflineTensorShapeFunctions() override {}
bool isQuantized() const override {
return false;
}
bool IsSameMetaType(TypeIdentifier id) override;
void SetupExternalTensorDescriptor(
const Blob* blob,
std::vector<std::vector<uint64_t>>* shapes,
std::vector<std::vector<float>>* all_scales,
std::vector<std::vector<int32_t>>* all_offsets,
ExternalTensorDescriptor* desc) override;
void LoadInfoOfBlob(
const Blob* /* unused */,
std::vector<float>* /* unused */,
std::vector<float>* /* unused */,
uint32_t* /* unused */) override {}
TypeIdentifier GetTypeMetaId() override;
TypeMeta GetExternalTensorType(const void* c) override;
vector<int64_t> GetExternalTensorInfo(
const void* c,
size_t* capacity,
DeviceOption* device) override;
};
#endif
} // namespace caffe2
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