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Update function call name [skip CI]

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This commit is contained in:
tankya2
2024-01-30 15:54:53 +08:00
committed by yangliwei
parent 93514a51f6
commit 6bdf100b3b
1 changed files with 8 additions and 9 deletions
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17
src/qibotn/backends/gpu.py
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@@ -71,9 +71,8 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
"""
import qibotn.src.qibotn.eval
import qibotn.eval as eval
cutn = qibotn.eval
MPI_enabled = self.MPI_enabled
MPS_enabled = self.MPS_enabled
NCCL_enabled = self.NCCL_enabled
@@ -89,7 +88,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
raise_error(NotImplementedError,
"QiboTN cannot support initial state.")
state = cutn.eval(circuit, self.dtype)
state = eval.dense_vector_tn(circuit, self.dtype)
if (
MPI_enabled == False
@@ -108,7 +107,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
"abs_cutoff": 1e-12,
},
} # make this user input
state = cutn.eval_mps(circuit, gate_algo, self.dtype)
state = eval.dense_vector_mps(circuit, gate_algo, self.dtype)
if (
MPI_enabled == True
@@ -120,7 +119,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
raise_error(NotImplementedError,
"QiboTN cannot support initial state.")
state, rank = cutn.eval_tn_MPI(circuit, self.dtype, 32)
state, rank = eval.dense_vector_tn_MPI(circuit, self.dtype, 32)
if rank > 0:
state = np.array(0)
@@ -134,7 +133,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
raise_error(NotImplementedError,
"QiboTN cannot support initial state.")
state, rank = cutn.eval_tn_nccl(circuit, self.dtype, 32)
state, rank = eval.dense_vector_tn_nccl(circuit, self.dtype, 32)
if rank > 0:
state = np.array(0)
@@ -148,7 +147,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
raise_error(NotImplementedError,
"QiboTN cannot support initial state.")
state = cutn.eval_expectation(circuit, self.dtype)
state = eval.expectation_tn(circuit, self.dtype)
if (
MPI_enabled == True
@@ -160,7 +159,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
raise_error(NotImplementedError,
"QiboTN cannot support initial state.")
state, rank = cutn.eval_tn_MPI_expectation(
state, rank = eval.expectation_tn_MPI(
circuit, self.dtype, 32)
if rank > 0:
@@ -176,7 +175,7 @@ class CuTensorNet(NumpyBackend): # pragma: no cover
raise_error(NotImplementedError,
"QiboTN cannot support initial state.")
state, rank = cutn.eval_tn_nccl_expectation(
state, rank = eval.expectation_tn_nccl(
circuit, self.dtype, 32)
if rank > 0: