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https://github.com/zebrajr/pytorch.git
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4b0fc5200b
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/13689 Now that typeid.h lives in c10/util, the include paths should reflect that. Reviewed By: ezyang Differential Revision: D12912237 fbshipit-source-id: e54225f049f690de77cb6d5f417994b211a6e1fb
77 lines
2.2 KiB
C++
77 lines
2.2 KiB
C++
#ifndef CAFFE2_CORE_BLOB_H_
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#define CAFFE2_CORE_BLOB_H_
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#include <cstddef>
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#include <sstream>
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#include <typeinfo>
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#include <type_traits>
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#include <vector>
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#include "caffe2/core/common.h"
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#include <ATen/core/blob.h>
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#include <c10/util/typeid.h>
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#include "caffe2/core/logging.h"
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#include "caffe2/core/tensor.h"
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namespace caffe2 {
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inline bool BlobIsTensorType(const Blob& blob, DeviceType device_type) {
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bool is_match = blob.meta().Match<Tensor>();
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if (!is_match) {
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return false;
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}
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const Tensor* tensor = &blob.Get<Tensor>();
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return tensor && *tensor && tensor->GetDeviceType() == device_type;
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}
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inline Tensor* BlobSetTensor(Blob* blob, const Tensor& tensor) {
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return blob->Reset<Tensor>(new Tensor(tensor));
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}
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inline Tensor*
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BlobGetMutableTensor(Blob* blob, at::IntList dims, at::TensorOptions options) {
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if (blob->IsType<Tensor>()) {
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Tensor* tensor = blob->GetMutable<Tensor>();
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if (*tensor) {
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if (tensor->GetDevice() == options.device()) {
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if (tensor->sizes() != dims) {
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// Resize when the dims doesn't match
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tensor->Resize(dims);
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}
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if (tensor->dtype() == options.dtype()) {
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tensor->raw_mutable_data();
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} else {
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// create a new Tensor when the data_type doesn't match
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return BlobSetTensor(blob, caffe2::empty(dims, options));
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}
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return tensor;
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}
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// create a new Tensor when device doesn't match
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}
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}
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VLOG(1) << "Create new mutable object " << TypeMeta::TypeName<Tensor>()
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<< " dims: " << dims;
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// << " options: " << options; (operator<< for Options is in at:: now)
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return BlobSetTensor(blob, caffe2::empty(dims, options));
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}
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inline Tensor* BlobGetMutableTensor(Blob* blob, DeviceType device_type) {
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if (blob->IsType<Tensor>()) {
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Tensor* tensor = blob->GetMutable<Tensor>();
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if (*tensor && tensor->GetDeviceType() == device_type) {
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return tensor;
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}
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}
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// if we're here, then either Blob didn't hold a Tensor
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// or that Tensor had the wrong DeviceType.
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VLOG(1) << "Create new mutable object " << TypeMeta::TypeName<Tensor>()
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<< " DeviceType:" << device_type;
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return BlobSetTensor(blob, Tensor(device_type));
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}
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} // namespace caffe2
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#endif // CAFFE2_CORE_BLOB_H_
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