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Template Class TNCudaGateCache

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Class Documentation

template<class PrecisionT>
class TNCudaGateCache

Memory management for gate tensor data on device and its id in the compute graph.

Template Parameters

PrecisionT – Floating point precision.

Public Types

using CFP_t = decltype(cuUtil::getCudaType(PrecisionT{}))
using gate_key_info = std::pair<const std::string, std::vector<PrecisionT>>
using gate_info = std::pair<gate_key_info, TensorCuda<PrecisionT>>

Public Functions

TNCudaGateCache() = delete
TNCudaGateCache(const TNCudaGateCache &other) = delete
TNCudaGateCache(TNCudaGateCache &&other) = delete
inline TNCudaGateCache(int device_id = 0, cudaStream_t stream_id = 0)
inline TNCudaGateCache(const DevTag<int> device_tag)
inline ~TNCudaGateCache()
inline void add_gate(const std::size_t gate_id, const std::string &gate_name, std::vector<PrecisionT> gate_param = {}, bool adjoint = false)

Add gate numerical value to the cache, indexed by the id of gate tensor operator in the graph and its name and parameter value are recorded as well.

Parameters

  • gate_id – The id of gate tensor operator in the computate graph.

  • gate_name – String representing the name of the given gate.

  • gate_param – Vector of parameter values. {} if non-parametric gate.

  • adjoint – Boolean value indicating whether the adjoint of the gate is to be appended. The default is false.

inline void add_gate(const std::size_t gate_id, gate_key_info gate_key, const std::vector<CFP_t> &gate_data_host, bool adjoint = false)

Add gate numerical value to the cache, indexed by the id of gate tensor operator in the graph and its name and parameter value as well as the gate data on host.

Parameters

  • gate_id – The id of gate tensor operator in the computate graph.

  • gate_key – String representing the name of the given gate as well as its associated parameter value.

  • gate_data_host – Vector of complex floating point values representing the gate data on host.

  • adjoint – Boolean value indicating whether the adjoint of the gate is to be appended. The default is false.

inline CFP_t *get_gate_device_ptr(const std::size_t gate_id)

Returns a pointer to the GPU device memory where the gate is stored.

Parameters

gate_id – The id of gate tensor operator in the computate graph.

Returns

const CFP_t* Pointer to gate values on device.

inline auto size() const -> std::size_t

Returns the size of the device_gates_.

Returns

std::size_t Size of device_gates_.

inline void update_key(const std::size_t old_key, const std::size_t new_key)

Update an existing key with a new one.

Parameters

  • old_key – The old key to be updated.

  • new_key – The new key to be updated.

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