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https://github.com/zebrajr/pytorch.git
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d0e4ca233e
This PR introduces some modifications: 1. We find out some const function parameters that can be passed by reference and add the reference. 2. We find more opportunists of passing by value and change them accordingly. 3. Some use-after-move errors are fixed. Pull Request resolved: https://github.com/pytorch/pytorch/pull/95942 Approved by: https://github.com/Skylion007
91 lines
2.5 KiB
C++
91 lines
2.5 KiB
C++
#include <torch/csrc/lazy/backend/backend_device.h>
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#include <c10/core/Device.h>
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#include <c10/util/Exception.h>
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#include <c10/util/Optional.h>
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#include <c10/util/StringUtil.h>
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#include <torch/csrc/lazy/backend/backend_interface.h>
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#include <torch/csrc/lazy/core/tensor.h>
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namespace torch {
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namespace lazy {
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BackendDevice::BackendDevice()
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: type_(getBackend()->GetDefaultDeviceType()),
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ordinal_(getBackend()->GetDefaultDeviceOrdinal()) {}
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BackendDevice::BackendDevice(
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std::shared_ptr<BackendDeviceType>&& type,
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int64_t ordinal)
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: type_(std::move(type)), ordinal_(ordinal) {}
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int8_t BackendDevice::type() const {
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TORCH_INTERNAL_ASSERT(type_);
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return type_->type;
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}
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std::string BackendDevice::toString() const {
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TORCH_INTERNAL_ASSERT(type_);
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return c10::str(type_->toString(), ordinal_);
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}
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int BackendDevice::compare(const BackendDevice& rhs) const {
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if (type() != rhs.type()) {
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return type() < rhs.type() ? -1 : +1;
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}
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return ordinal_ < rhs.ordinal_ ? -1 : (ordinal_ > rhs.ordinal_ ? +1 : 0);
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}
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std::ostream& operator<<(std::ostream& os, const BackendDevice& device) {
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os << device.toString();
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return os;
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}
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BackendDevice atenDeviceToBackendDevice(const c10::Device& device) {
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TORCH_CHECK(device.type() == at::kLazy, device);
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int64_t ordinal = device.has_index()
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? device.index()
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: getBackend()->GetDefaultDeviceOrdinal();
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return BackendDevice(getBackend()->GetDefaultDeviceType(), ordinal);
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}
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// TODO(whc) refactor this: we need to support non 1 on 1 mapping for torch/XLA.
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c10::Device backendDeviceToAtenDevice(const BackendDevice& device) {
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return c10::Device(at::kLazy, device.ordinal());
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}
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c10::optional<BackendDevice> GetBackendDevice(at::ITensorListRef tensors) {
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for (auto& tensor : tensors) {
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if (auto lt = TryGetLtcTensor(tensor)) {
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return lt->GetDevice();
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}
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}
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return c10::nullopt;
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}
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c10::optional<BackendDevice> GetBackendDevice(at::TensorList tensors) {
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return GetBackendDevice(at::ITensorListRef(tensors));
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}
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c10::optional<BackendDevice> GetBackendDevice(const at::Tensor& tensor) {
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if (auto lt = TryGetLtcTensor(tensor)) {
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return lt->GetDevice();
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}
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return c10::nullopt;
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}
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c10::optional<BackendDevice> GetBackendDevice(
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const c10::optional<c10::Device>& device) {
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if (device) {
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return c10::make_optional(atenDeviceToBackendDevice(*device));
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}
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return c10::nullopt;
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}
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c10::optional<BackendDevice> GetBackendDevice() {
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return c10::nullopt;
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}
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} // namespace lazy
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} // namespace torch
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