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Take out repeat codes

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This commit is contained in:
tankya2
2024-02-09 10:29:30 +08:00
committed by yangliwei
parent edf64ebeb3
commit 2b6345c8ca
1 changed files with 3 additions and 29 deletions
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32
src/qibotn/backends/gpu.py
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@@ -110,96 +110,70 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
import qibotn.eval as eval
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
if (
self.MPI_enabled == False
and self.MPS_enabled == False
and self.NCCL_enabled == False
and self.expectation_enabled == False
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state = eval.dense_vector_tn(circuit, self.dtype)
elif (
self.MPI_enabled == False
and self.MPS_enabled == True
and self.NCCL_enabled == False
and self.expectation_enabled == False
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state = eval.dense_vector_mps(circuit, self.gate_algo, self.dtype)
elif (
self.MPI_enabled == True
and self.MPS_enabled == False
and self.NCCL_enabled == False
and self.expectation_enabled == False
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state, rank = eval.dense_vector_tn_MPI(circuit, self.dtype, 32)
if rank > 0:
state = np.array(0)
elif (
self.MPI_enabled == False
and self.MPS_enabled == False
and self.NCCL_enabled == True
and self.expectation_enabled == False
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state, rank = eval.dense_vector_tn_nccl(circuit, self.dtype, 32)
if rank > 0:
state = np.array(0)
elif (
self.MPI_enabled == False
and self.MPS_enabled == False
and self.NCCL_enabled == False
and self.expectation_enabled == True
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state = eval.expectation_pauli_tn(
circuit, self.dtype, self.pauli_string_pattern
)
elif (
self.MPI_enabled == True
and self.MPS_enabled == False
and self.NCCL_enabled == False
and self.expectation_enabled == True
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state, rank = eval.expectation_pauli_tn_MPI(
circuit, self.dtype, self.pauli_string_pattern, 32
)
if rank > 0:
state = np.array(0)
elif (
self.MPI_enabled == False
and self.MPS_enabled == False
and self.NCCL_enabled == True
and self.expectation_enabled == True
):
if initial_state is not None:
raise_error(NotImplementedError, "QiboTN cannot support initial state.")
state, rank = eval.expectation_pauli_tn_nccl(
circuit, self.dtype, self.pauli_string_pattern, 32
)
if rank > 0:
state = np.array(0)
else: