CLI script to gather environment info (#2699)

* add "info" command to CLI

As a convenience, add the info directive to CLI. Running `python transformers-cli info` will return a string containing the transformers version, platform, python version, PT/TF version and GPU support

* Swap f-strings for .format

Still supporting 3.5 so can't use f-strings (sad face)

* Add reference in issue to CLI

* Add the expected fields to issue template

This way, people can still add the information manually if they want. (Though I fear they'll just ignore it.)

* Remove heading from output

* black-ify

* order of imports

Should ensure isort test passes

* use is_X_available over import..pass

* style

* fix copy-paste bug

* Rename command info -> env

Also adds the command to CONTRIBUTING.md in "Did you find a bug" section

.github/ISSUE_TEMPLATE/bug-report.md

@@ -39,12 +39,14 @@ Steps to reproduce the behavior:
 
 <!-- A clear and concise description of what you would expect to happen. -->
 
-## Environment
-
-* OS:
-* Python version:
-* PyTorch version:
-* `transformers` version (or branch):
-* Using GPU ?
-* Distributed or parallel setup ?
-* Any other relevant information:
+## Environment info
+<!-- You can run the command `python transformers-cli env` and copy-and-paste its output below.
+     Don't forget to fill out the missing fields in that output! -->
+     
+- `transformers` version:
+- Platform:
+- Python version:
+- PyTorch version (GPU?):
+- Tensorflow version (GPU?):
+- Using GPU in script?:
+- Using distributed or parallel set-up in script?:

.github/ISSUE_TEMPLATE/migration.md

@@ -33,16 +33,21 @@ The tasks I am working on is:
     Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
     -->
 
-## Environment
+## Environment info
+<!-- You can run the command `python transformers-cli env` and copy-and-paste its output below.
+     Don't forget to fill out the missing fields in that output! -->
+ 
+- `transformers` version:
+- Platform:
+- Python version:
+- PyTorch version (GPU?):
+- Tensorflow version (GPU?):
+- Using GPU in script?:
+- Using distributed or parallel set-up in script?:
 
-* OS:
-* Python version:
-* PyTorch version:
+<!-- IMPORTANT: which version of the former library do you use? -->
 * `pytorch-transformers` or `pytorch-pretrained-bert` version (or branch):
-* `transformers` version (or branch):
-* Using GPU?
-* Distributed or parallel setup?
-* Any other relevant information:
+
 
 ## Checklist
 

CONTRIBUTING.md

@@ -41,14 +41,10 @@ Did not find it? :( So we can act quickly on it, please follow these steps:
   less than 30s;
 * Provide the *full* traceback if an exception is raised.
 
-To get the OS and software versions, execute the following code and copy-paste
-the output:
+To get the OS and software versions automatically, you can run the following command:
 
-```
-import platform; print("Platform", platform.platform())
-import sys; print("Python", sys.version)
-import torch; print("PyTorch", torch.__version__)
-import tensorflow; print("Tensorflow", tensorflow.__version__)
+```bash
+python transformers-cli env
 ```
 
 ### Do you want to implement a new model?

src/transformers/commands/env.py

@@ -0,0 +1,58 @@
+import platform
+from argparse import ArgumentParser
+
+from transformers import __version__ as version
+from transformers import is_tf_available, is_torch_available
+from transformers.commands import BaseTransformersCLICommand
+
+
+def info_command_factory(_):
+    return EnvironmentCommand()
+
+
+class EnvironmentCommand(BaseTransformersCLICommand):
+    @staticmethod
+    def register_subcommand(parser: ArgumentParser):
+        download_parser = parser.add_parser("env")
+        download_parser.set_defaults(func=info_command_factory)
+
+    def run(self):
+        pt_version = "not installed"
+        pt_cuda_available = "NA"
+        if is_torch_available():
+            import torch
+
+            pt_version = torch.__version__
+            pt_cuda_available = torch.cuda.is_available()
+
+        tf_version = "not installed"
+        tf_cuda_available = "NA"
+        if is_tf_available():
+            import tensorflow as tf
+
+            tf_version = tf.__version__
+            try:
+                # deprecated in v2.1
+                tf_cuda_available = tf.test.is_gpu_available()
+            except AttributeError:
+                # returns list of devices, convert to bool
+                tf_cuda_available = bool(tf.config.list_physical_devices("GPU"))
+
+        info = {
+            "`transformers` version": version,
+            "Platform": platform.platform(),
+            "Python version": platform.python_version(),
+            "PyTorch version (GPU?)": "{} ({})".format(pt_version, pt_cuda_available),
+            "Tensorflow version (GPU?)": "{} ({})".format(tf_version, tf_cuda_available),
+            "Using GPU in script?": "<fill in>",
+            "Using distributed or parallel set-up in script?": "<fill in>",
+        }
+
+        print("\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n")
+        print(self.format_dict(info))
+
+        return info
+
+    @staticmethod
+    def format_dict(d):
+        return "\n".join(["- {}: {}".format(prop, val) for prop, val in d.items()]) + "\n"

transformers-cli

@@ -1,11 +1,12 @@
 #!/usr/bin/env python
 from argparse import ArgumentParser
 
-from transformers.commands.download import DownloadCommand
-from transformers.commands.run import RunCommand
-from transformers.commands.user import UserCommands
 from transformers.commands.convert import ConvertCommand
+from transformers.commands.download import DownloadCommand
+from transformers.commands.env import EnvironmentCommand
+from transformers.commands.run import RunCommand
 from transformers.commands.serving import ServeCommand
+from transformers.commands.user import UserCommands
 
 if __name__ == '__main__':
     parser = ArgumentParser('Transformers CLI tool', usage='transformers-cli <command> [<args>]')
@@ -14,6 +15,7 @@ if __name__ == '__main__':
     # Register commands
     ConvertCommand.register_subcommand(commands_parser)
     DownloadCommand.register_subcommand(commands_parser)
+    EnvironmentCommand.register_subcommand(commands_parser)
     RunCommand.register_subcommand(commands_parser)
     ServeCommand.register_subcommand(commands_parser)
     UserCommands.register_subcommand(commands_parser)