Even though the compilation shows it is using 12.0 cuda versions and tools, somehow lightning.gpu plugin built from source is still looking for cudart.11.0 library. Any thoughts? how I can debug this problem?
import pennylane as qml
import jax
import jax.numpy as jnp
n_qubits=10
def standard_parametric(weights, n_qubits, n_registers, circuit_depth):
number_trainable_parameters = 0
count = 0
for _ in range(circuit_depth):
for k in range(n_qubits):
qml.RY(weights[count], wires=k)
count += 1
for k in range(n_qubits-1):
qubit_1 = k
qubit_2 = k + 1
qml.IsingYY(weights[count], wires=[qubit_1, qubit_2])
count += 1
for k in range(n_qubits-1):
control_qubit = k
target_qubit = k+1
qml.CRY(weights[count], wires=[control_qubit, target_qubit])
count += 1
number_trainable_parameters = count
def qnode_fn(weights):
standard_parametric(weights, n_qubits, n_registers=1,
circuit_depth=2)
return qml.sample()
dummy_device = qml.device("lightning.gpu", wires=n_qubits, shots=1)
dummy_qnode = qml.QNode(qnode_fn, dummy_device, diff_method=None, interface="jax")
print(dummy_qnode(jnp.zeros((1,))))
If you want help with diagnosing an error, please put the full error message below:
/global/u1/p/prmantha/pennylane-lightning/pennylane_lightning/lightning_gpu/lightning_gpu.py:94: UserWarning: libcudart.so.11.0: cannot open shared object file: No such file or directory
warn(str(e), UserWarning)
Traceback (most recent call last):
File "/global/u1/p/prmantha/qugen/apps/logistics/test_qml.py", line 35, in <module>
dummy_device = qml.device("lightning.gpu", wires=n_qubits, shots=1)
File "/global/common/software/m4408/pmantha/qugen_env/lib/python3.9/site-packages/pennylane/__init__.py", line 393, in device
dev = plugin_device_class(*args, **options)
File "/global/u1/p/prmantha/pennylane-lightning/pennylane_lightning/lightning_gpu/lightning_gpu.py", line 254, in __init__
super().__init__(wires, shots=shots, c_dtype=c_dtype)
File "/global/u1/p/prmantha/pennylane-lightning/pennylane_lightning/core/lightning_base.py", line 74, in __init__
raise ImportError(
ImportError: Pre-compiled binaries for lightning.gpu are not available. To manually compile from source, follow the instructions at https://pennylane-lightning.readthedocs.io/en/latest/installation.html.
And, finally, make sure to include the versions of your packages. Specifically, show us the output of qml.about().
Version: 0.36.0
Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Home-page: https://github.com/PennyLaneAI/pennylane
Author:
Author-email:
License: Apache License 2.0
Location: /global/common/software/m4408/pmantha/qugen_env/lib/python3.9/site-packages
Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, pennylane-lightning, requests, rustworkx, scipy, semantic-version, toml, typing-extensions
Required-by: PennyLane_Lightning, PennyLane_Lightning_GPU, qugen
Platform info: Linux-5.14.21-150400.24.81_12.0.87-cray_shasta_c-x86_64-with-glibc2.31
Python version: 3.9.12
Numpy version: 1.26.4
Scipy version: 1.13.0
Installed devices:
- default.clifford (PennyLane-0.36.0)
- default.gaussian (PennyLane-0.36.0)
- default.mixed (PennyLane-0.36.0)
- default.qubit (PennyLane-0.36.0)
- default.qubit.autograd (PennyLane-0.36.0)
- default.qubit.jax (PennyLane-0.36.0)
- default.qubit.legacy (PennyLane-0.36.0)
- default.qubit.tf (PennyLane-0.36.0)
- default.qubit.torch (PennyLane-0.36.0)
- default.qutrit (PennyLane-0.36.0)
- default.qutrit.mixed (PennyLane-0.36.0)
- null.qubit (PennyLane-0.36.0)
- lightning.qubit (-ennyLane-Lightning-0.36.0)
- lightning.qubit (PennyLane-Lightning-0.36.0)
- lightning.gpu (PennyLane-Lightning-GPU-0.36.0)```