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fix newlines on github issue templates

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This commit is contained in:
Patrick Hemmer 2020-04-14 12:17:01 -04:00
parent 22573b59c0
commit 5f101ee6d3
2 changed files with 30 additions and 32 deletions
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31
.github/ISSUE_TEMPLATE/00-bug-issue.md vendored
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@ -11,25 +11,24 @@ we only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub. tag:bug_template</em> build/installation issues on GitHub. tag:bug_template</em>
**System information** **System information**
- Have I written custom code (as opposed to using a stock - Have I written custom code (as opposed to using a stock example script
example script provided in TensorFlow): provided in TensorFlow):
- OS Platform and Distribution (e.g., - OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
Linux Ubuntu 16.04): - Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens
- Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if on mobile device:
the issue happens on mobile device: - TensorFlow installed from (source or binary):
- TensorFlow installed from (source or - TensorFlow version (use command below):
binary): - TensorFlow version (use command below): - Python version:
- Python version: - Bazel - Bazel version (if compiling from source):
version (if compiling from source): - GCC/Compiler version (if compiling from source):
- GCC/Compiler version (if compiling from - CUDA/cuDNN version:
source): - GPU model and memory:
- CUDA/cuDNN version: - GPU model and memory:
You can collect some of this information using our environment capture You can collect some of this information using our environment capture
[script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh) [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 You can also obtain the TensorFlow version with:
tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` 2. TF 2.0: `python -c 1. TF 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"`
"import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.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 current behavior**

31
.github/ISSUE_TEMPLATE/80-performance-issue.md vendored
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@ -12,25 +12,24 @@ we only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub. tag:performance_template</em> build/installation issues on GitHub. tag:performance_template</em>
**System information** **System information**
- Have I written custom code (as opposed to using a stock - Have I written custom code (as opposed to using a stock example script
example script provided in TensorFlow): provided in TensorFlow):
- OS Platform and Distribution (e.g., - OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
Linux Ubuntu 16.04): - Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens
- Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if on mobile device:
the issue happens on mobile device: - TensorFlow installed from (source or binary):
- TensorFlow installed from (source or - TensorFlow version (use command below):
binary): - TensorFlow version (use command below): - Python version:
- Python version: - Bazel - Bazel version (if compiling from source):
version (if compiling from source): - GCC/Compiler version (if compiling from source):
- GCC/Compiler version (if compiling from - CUDA/cuDNN version:
source): - GPU model and memory:
- CUDA/cuDNN version: - GPU model and memory:
You can collect some of this information using our environment capture You can collect some of this information using our environment capture
[script](https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh) [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 You can also obtain the TensorFlow version with:
tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"` 2. TF 2.0: `python -c 1. TF 1.0: `python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"`
"import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.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 current behavior**