When the `RandomPoissonV2` estimator receives a large input shape and rates, it gives a `CHECK` fail and stops training. The fix is cherry-picking this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. These are also still supported and are also at risk of experiencing this failure. There are no known workarounds for this issue. When ``` RandomPoissonV2 ``` receives a large input shape and rates, it gives a `CHECK` fail and stops training. The fix is cherry-picking this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. These are also still supported and are also at risk of experiencing this failure. There are no known workarounds for this issue. When the `RandomPoissonV2` estimator receives a large input shape and rates, it gives a `CHECK` fail and stops training. The fix is cherry-picking this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. These are also still supported and are also at risk of experiencing this failure. There are no known workarounds for this issue. When the `RandomPoissonV2` estimator receives a large input shape and rates, it gives a
What is TensorFlow?
TensorFlow is a machine-learning framework developed by Google Brain that supports data flow and data parallelism.
TensorFlow was originally launched into open alpha in November 2015 with the initial goal of supporting research and experimentation in deep learning using GPUs. In May 2016, Google announced it was transitioning TensorFlow to an open-source project under the Apache 2 license.
In September 2017, Google announced plans to release TensorFlow 1.0 for general availability for use in commercial products and services.
To support this, they also released version 1.1 of TensorBoard which enables researchers to visualize their models as they train on datasets from the inference API or from external files.
Fix
: Cherry-picking this commit
When the `RandomPoissonV2` estimator receives a large input shape and rates, it gives a `CHECK` fail and stops training. The fix is cherry-picking this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. These are also still supported and are also at risk of experiencing this failure. There are no known workarounds for this issue. When the `RandomPoissonV2` estimator receives a large input shape and rates, it gives a `CHECK` fail and stops training. The fix is cherry-picking this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. These are also still supported and are also at risk of experiencing this failure. There are no known workarounds for this issue.>>END>>
Timeline
Published on: 09/16/2022 23:15:00 UTC
Last modified on: 09/20/2022 14:42:00 UTC