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#pragma once
#include <ATen/ATen.h>
#include <c10/core/Device.h>
#include <c10/core/DeviceType.h>
#include <c10/core/Stream.h>
#include <c10/core/impl/DeviceGuardImplInterface.h>
#include <cstdint>
namespace torch { namespace autograd {
/**
* Records type, shape, and device of tensor and, where applicable,
* the stream the correspondingoperation took place on.
*
* If is_valid() is false, then the corresponding input is not used and may be
* an undefined tensor.
*/
struct InputMetadata {
InputMetadata() = default;
InputMetadata(const at::TensorOptions options, at::IntArrayRef shape, at::Device device)
: options_{options}, shape_{shape}, device_{device} {
stream_ = c10::impl::getDeviceGuardImpl(device_.type())->getStream(device_);
}
InputMetadata(const at::Tensor& t)
: InputMetadata(t.options(), t.sizes(), t.device()) { }
const at::TensorOptions options() const {
return options_;
}
at::IntArrayRef shape() const {
return shape_;
}
at::Device device() const {
return device_;
}
c10::Stream stream() const {
return stream_;
}
at::Tensor zeros_like() const {
return at::zeros(shape_, options_);
}
private:
const at::TensorOptions options_;
at::DimVector shape_;
at::Device device_ = at::kCPU;
c10::Stream stream_ = c10::Stream(c10::Stream::Default::DEFAULT, device_);
};
}} // torch::autograd
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