delete this templates as we want to use single template for all types of bugs

.github/ISSUE_TEMPLATE/80-performance-issue.md

@@ -1,42 +0,0 @@
----
-name: Performance Issue
-about: Use this template for reporting a performance issue
-labels: 'type:performance'
-
----
-
-<em>Please make sure that this is an issue related to performance of TensorFlow.
-As per our
-[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),
-we only address code/doc bugs, performance issues, feature requests and
-build/installation issues on GitHub. tag:performance_template</em>
-
-**System information**
-- Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
-- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
-- Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
-- TensorFlow installed from (source or binary):
-- TensorFlow version (use command below):
-- Python version:
-- Bazel version (if compiling from source):
-- GCC/Compiler version (if compiling from source):
-- CUDA/cuDNN version:
-- GPU model and memory:
-
-You can collect some of this information using our environment capture
-[script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh)
-You can also obtain the TensorFlow version with:
-1. TF 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"`
-2. TF 2.0: `python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"`
-
-**Describe the current behavior**
-
-**Describe the expected behavior**
-
-**Standalone code to reproduce the issue**
-Provide a reproducible test case that is the bare minimum necessary to generate
-the problem. If possible, please share a link to Colab/Jupyter/any notebook.
-
-**Other info / logs** Include any logs or source code that would be helpful to
-diagnose the problem. If including tracebacks, please include the full
-traceback. Large logs and files should be attached.