1--- 2name: Performance Issue 3about: Use this template for reporting a performance issue 4labels: 'type:performance' 5 6--- 7 8<em>Please make sure that this is an issue related to performance of TensorFlow. 9As per our 10[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), 11we only address code/doc bugs, performance issues, feature requests and 12build/installation issues on GitHub. tag:performance_template</em> 13 14**System information** 15- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): 16- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): 17- Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: 18- TensorFlow installed from (source or binary): 19- TensorFlow version (use command below): 20- Python version: 21- Bazel version (if compiling from source): 22- GCC/Compiler version (if compiling from source): 23- CUDA/cuDNN version: 24- GPU model and memory: 25 26You can collect some of this information using our environment capture 27[script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh) 28You can also obtain the TensorFlow version with: 291. TF 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` 302. TF 2.0: `python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"` 31 32**Describe the current behavior** 33 34**Describe the expected behavior** 35 36**Standalone code to reproduce the issue** 37Provide a reproducible test case that is the bare minimum necessary to generate 38the problem. If possible, please share a link to Colab/Jupyter/any notebook. 39 40**Other info / logs** Include any logs or source code that would be helpful to 41diagnose the problem. If including tracebacks, please include the full 42traceback. Large logs and files should be attached. 43