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Isuru0x01

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tensorflow-issues

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[ "Am curious if anyone has had a chance to look into this. No worries if not\r\n\r\nIt is worth noting that NumPy is planning to release 2.0 on June 16th: https://github.com/numpy/numpy/issues/24300#issuecomment-2125643448", "Friendly nudge 😉\r\n\r\nDo we have a sense of where this is in the queue?", "Sorry for the late reply, TF is working on the upgrade but it may not make the upcoming branchcut to ensure all cases around datatype promotion are handled correctly. @kanglant is working on the upgrade and ensuring test owners verify updates. We will give another status update by Friday on if it will make the 2.17 branchcut and when it can be expected in the nightly branch. ", "Thanks Michael! 🙏\r\n\r\nNo worries\r\n\r\nAre Kanglan's changes in a PR? Or could they be added to one? Maybe members of the community could help review 🙂\r\n\r\nFWIW did see these merged PRs:\r\n\r\n* https://github.com/tensorflow/tensorflow/pull/63317\r\n* https://github.com/tensorflow/tensorflow/pull/67852\r\n* https://github.com/tensorflow/tensorflow/pull/67864\r\n* https://github.com/tensorflow/tensorflow/pull/68271\r\n\r\nAre there any others?", "No other PRs right now that i think are ready yet. \r\n\r\nI can say that at this point it looks like we will not make the target of next week's branchcut. We need to verify if any of the fixes or modifications cause api level changes given TF's API compatibility guidelines. We will target to get it into nightly as soon as we can. We will look to use this issue to give regular updates until have made the 2.0 upgrade. \r\n", "Would recommend that any released packages (wheels or otherwise) have an upper bound to disallow NumPy 2\r\n\r\nMentioning this as NumPy is planning to release on June 16th: https://github.com/numpy/numpy/issues/24300#issuecomment-2125643448" ]

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[ "Actually, I'm unsure whether these docs are for the correct API. I don't see a call to it anywhere in the examples.", "Ah, they haven't been updated for TF2. They still refer to the old [`matrix_set_diag`](https://www.tensorflow.org/api_docs/python/tf/linalg/set_diag) API.", "@khatchad You're right, the official TF documentation for tf.linalg.set_diag() doesn't explicitly mention the return value in the descriptiontf.linalg.set_diag. Please refer the master [branch](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/array_ops.py) for the detailed information.\r\nThank you!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67255\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67255\">No</a>\n", "@khatchad Could you please let us know if you have referred to the above [comment](https://github.com/tensorflow/tensorflow/issues/67255#issuecomment-2104241615) and you could see the return information ?\r\nThank you!", "> @khatchad Could you please let us know if you have referred to the above [comment](https://github.com/tensorflow/tensorflow/issues/67255#issuecomment-2104241615) and you could see the return information ? Thank you!\r\n\r\nNot sure if I understand the question. It's missing here as well:\r\n\r\nhttps://github.com/tensorflow/tensorflow/blob/3825f797eee30efb1a9c33c72f6608709a382928/tensorflow/python/ops/array_ops.py#L2515-L2530", "@khatchad,\r\nCould you please try to contribute with the PR for the respective changes to be made in the mentioned document? Thank you!" ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/67253/checks?check_run_id=24781266681) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request." ]

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[ "Hi **@Danojungo** ,\r\n- Sorry for the dealy, Could you use a custom training loop instead of the generic fit function. This approach provides more flexibility, allowing you to adjust the number of steps dynamically for each epoch.\r\n- The generic fit function in tensorflow does not support varying the number of steps per epoch directly.\r\n\r\nThank you!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67252\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67252\">No</a>\n" ]

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[ "@hectorj2f,\r\nThanks for reporting the issue. Looks like this is a known issue while building the TensorFlow v2.16 with aarch64. \r\nCould you please try to refer to the issue for the updates on the same. \r\n\r\nhttps://github.com/tensorflow/tensorflow/issues/62490\r\n\r\nThank you!" ]

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[ "@SuryanarayanaY Hi, Do you know why protobuf 4.x hasn't been supported yet?", "Hi @LeeYunhang ,\r\n\r\nPlease find below the list of protobuf versions supported for nightly version.\r\n\r\nhttps://github.com/tensorflow/tensorflow/blob/f29f62111ecb98a54951377bb0d7069a7d8c2314/tensorflow/tools/pip_package/setup.py#L94\r\n\r\n\r\n\r\n> @SuryanarayanaY Hi, Do you know why protobuf 4.x hasn't been supported yet?\r\n\r\nI am not sure which versions are in pipeline now ? I need to check with concern developer team and will update.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67247\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67247\">No</a>\n" ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/67244/checks?check_run_id=24773953933) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request." ]

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