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#include <torch/csrc/lazy/ts_backend/ops/device_data.h>
#include <torch/csrc/lazy/core/internal_ops/ltc_ops.h>
#include <torch/csrc/lazy/core/ir_builder.h>
#include <sstream>
namespace torch {
namespace lazy {
DeviceData::DeviceData(std::shared_ptr<BackendData> data)
: TsNode(
ClassOpKind(),
data->shape(),
/*num_outputs=*/1,
/*hash_seed=*/static_cast<uint32_t>(101)),
data_(std::move(data)) {}
std::string DeviceData::ToString() const {
std::stringstream ss;
ss << TsNode::ToString() << ", device=" << data_->device();
return ss.str();
}
const DeviceData* DeviceData::Cast(const Node* node) {
return NodeCast<DeviceData>(node);
}
NodePtr DeviceData::Create(std::shared_ptr<BackendData> data) {
NodePtr node = ReuseOrMakeNode<DeviceData>(data);
// ReuseOrMakeNode may return a reused node which has the same shape,
// however, we need to replace the old data_ with the new one.
// Ditching the old data_ is safe because tracing is done iteration
// by iteration, and after we lauch the async device execution for the
// previous iteration, data_ in DeviceData nodes are not needed anymore.
DeviceData* device_data = static_cast<DeviceData*>(node.get());
device_data->SetData(data);
return node;
}
} // namespace lazy
} // namespace torch
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