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when using tensorflow 2.4. 1 and tfq 0.3.1, it raises _tfq_simulate_ops.so not found #640

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ll971 opened this issue Nov 14, 2021 · 3 comments
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when using tensorflow 2.4. 1 and tfq 0.3.1, it raises _tfq_simulate_ops.so not found #640

ll971 opened this issue Nov 14, 2021 · 3 comments

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@ll971
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ll971 commented Nov 14, 2021

import tensorflow as tf
import tensorflow_quantum as tfq

import cirq
import sympy
import numpy as np

error in 2nd line:

tensorflow.python.framework.errors_impl.NotFoundError: D:\Anaconda3\envs\w\Lib\site-packages\tensorflow_quantum\core\ops_tfq_simulate_ops.so not found
@lockwo
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lockwo commented Nov 14, 2021

TFQ 0.3.1 has the following requirements:
cirq==0.8.0
sympy==1.4
nbconvert==5.6.1
nbformat==4.4.0
pylint==2.4.4
yapf==0.28.0
tensorflow==2.1.0
pathos==0.2.5
google-api-python-client==1.8.0

It is probably breaking because tensorflow 2.4.1 is not what it requires.

@ll971
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ll971 commented Nov 15, 2021

Thanks for your reply, I want to run a tfq program on RTX 3060. How can I make it? RTX 3060 only suport for the CUDA 11.1,
Does tensorflow-gpu 2.1.0 can works with CUDA 11.1?

TFQ 0.3.1 has the following requirements: cirq==0.8.0 sympy==1.4 nbconvert==5.6.1 nbformat==4.4.0 pylint==2.4.4 yapf==0.28.0 tensorflow==2.1.0 pathos==0.2.5 google-api-python-client==1.8.0

It is probably breaking because tensorflow 2.4.1 is not what it requires.

@lockwo
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lockwo commented Nov 15, 2021

I don't think (someone can correct me if I'm mistaken) that TFQ 0.3.1 can run on GPU. Since qsim didn't add GPU support till 0.10 (which happened Jul 29 2021, more than a month after the release of TFQ 0.5.1, maybe the nightly build has something I haven't really been keeping up with it).

Tensorflow 2.1.0 works with CUDA 10.1. CUDA 11.1 wasn't added until Tensorflow 2.5 (according to this table: https://www.tensorflow.org/install/source#gpu)

@ll971 ll971 closed this as completed Dec 3, 2021
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@lockwo @ll971