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This PR accompanies #755

Updates the docs/install.md file to download bazel 5.3.0 instead of 5.1.0 which causes errors when building Tensorflow 2.11.0

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@jaeyoo

@Sinestro38
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realized #755 updates the readme

@Sinestro38 Sinestro38 closed this Mar 28, 2023
@deepquantum88
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@Sinestro38 is tfq worked with tf2.11.0 and python 3.9 at your side? because when i follow up the steps of installation listed on website, it throws an error of tfq_simulate_ops.so

@jaeyoo
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jaeyoo commented Apr 5, 2023

Hi @deepquantum88 could you tell us more information?

  1. how to configure your tfq? Is it cpu/gpu?
  2. which installation steps did you follow? docs/install.md?
  3. which step did you get stuck with?
  4. the error message detail please.

@deepquantum88
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I want to work with TF 2.11.0 and TFQ 0.7.2. But during installation it did not work.
Although, i worked with TF 2.7.0, and TFQ0.7.2

But due to some other packages i have to work with TF2.11.0.

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jaeyoo commented Apr 5, 2023

We will soon release TFQ 0.7.3 which is compatible with TF2.11.0. It will resolve the issue. please stay tuned.

@lockwo
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lockwo commented Apr 5, 2023

Will 0.7.3 include GPU support? Also is there any public roadmap for the future development of TFQ?

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jaeyoo commented Apr 5, 2023

Hi @lockwo, currently, I am working on the full support for TFv2.11.0 compatibility. Please stay tuned for the future roadmap later soon.

@Sinestro38

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@deepquantum88
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@jaeyoo @Sinestro38 is tfq nightly can work with TF2.11.0?

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jaeyoo commented Apr 5, 2023

@deepquantum88 theoretically, yes. could you please try it?

@deepquantum88
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@jaeyoo Thank you for your response. I tried the latest version, but did not able to install. Can you suggest any particular tfq nightly version which can be compatible with TF2.11.0?

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jaeyoo commented Apr 5, 2023

@jaeyoo
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jaeyoo commented Apr 5, 2023

Or could you please tell me the exact error messages with your command lines?

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4 participants