system info (#1234)

* system info

* update big info

* test script

* update config

* rename script

* import path

.drone.yml

@@ -25,3 +25,4 @@ steps:
     - coverage run --source pytorch_lightning -m py.test pytorch_lightning tests -v --doctest-modules #  --flake8
     - coverage report
     - codecov --token $CODECOV_TOKEN  # --pr $DRONE_PULL_REQUEST --build $DRONE_BUILD_NUMBER --branch $DRONE_BRANCH --commit $DRONE_COMMIT --tag $DRONE_TAG
+    - python tests/collect_env_details.py

.github/ISSUE_TEMPLATE/bug_report.md

@@ -40,12 +40,12 @@ Minimal means having the shortest code but still preserving the bug. -->
 ### Environment
 
 Please copy and paste the output from our
-[environment collection script](https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py)
+[environment collection script](https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py)
 (or fill out the checklist below manually).
 
 You can get the script and run it with:
 ```
-wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
+wget https://raw.githubusercontent.com/PyTorchLightning/pytorch-lightning/master/tests/collect_env_details.py
 # For security purposes, please check the contents of collect_env.py before running it.
 python collect_env.py
 ```

setup.cfg

@@ -13,10 +13,6 @@ markers =
     filterwarnings
     gpus_param_tests
 
-[pycodestyle]
-ignore = E731,W504
-max-line-length = 120
-
 [coverage:report]
 exclude_lines =
     pragma: no-cover
@@ -56,4 +52,5 @@ license_file = LICENSE
 convention = pep257
 # D104, D107: Ignore missing docstrings in __init__ files and methods.
 # D202: Ignore a blank line after docstring (collision with Python Black in decorators)
-add-ignore = D104, D107, D202
+add-ignore = D104,D107,D202
+max-line-length = 120

tests/collect_env_details.py

@@ -0,0 +1,98 @@
+"""Diagnose your system and show basic information
+
+This server mainly to get detail info for better bug reporting.
+
+"""
+
+import os
+import re
+import sys
+import platform
+
+import numpy
+import tensorboard
+import torch
+import tqdm
+
+sys.path += [os.path.abspath('..'), os.path.abspath('.')]
+import pytorch_lightning  # noqa: E402
+
+LEVEL_OFFSET = '\t'
+KEY_PADDING = 20
+
+
+def run_and_parse_first_match(run_lambda, command, regex):
+    """Runs command using run_lambda, returns the first regex match if it exists"""
+    rc, out, _ = run_lambda(command)
+    if rc != 0:
+        return None
+    match = re.search(regex, out)
+    if match is None:
+        return None
+    return match.group(1)
+
+
+def get_running_cuda_version(run_lambda):
+    return run_and_parse_first_match(run_lambda, 'nvcc --version', r'V(.*)$')
+
+
+def info_system():
+    return {
+        'OS': platform.system(),
+        'architecture': platform.architecture(),
+        'version': platform.version(),
+        'processor': platform.processor(),
+        'python': platform.python_version(),
+    }
+
+
+def info_cuda():
+    return {
+        'GPU': set([torch.cuda.get_device_name(i) for i in range(torch.cuda.device_count())]),
+        # 'nvidia_driver': get_nvidia_driver_version(run_lambda),
+        'available': torch.cuda.is_available(),
+        'version': torch.version.cuda,
+    }
+
+
+def info_packages():
+    return {
+        'numpy': numpy.__version__,
+        "pyTorch_version": torch.__version__,
+        'pyTorch_debug': torch.version.debug,
+        'pytorch-lightning': pytorch_lightning.__version__,
+        'tensorboard': tensorboard.__version__,
+        'tqdm': tqdm.__version__,
+    }
+
+
+def nice_print(details, level=0):
+    lines = []
+    for k in sorted(details):
+        key = f'{k}:'
+        if isinstance(details[k], dict):
+            lines += [level * LEVEL_OFFSET + key]
+            lines += nice_print(details[k], level + 1)
+        elif isinstance(details[k], (set, list, tuple)):
+            lines += [level * LEVEL_OFFSET + key]
+            lines += [(level + 1) * LEVEL_OFFSET + v for v in details[k]]
+        else:
+            template = '{:%is} {}' % KEY_PADDING
+            key_val = template.format(key, details[k])
+            lines += [(level * LEVEL_OFFSET) + key_val]
+    return lines
+
+
+def main():
+    details = {
+        "system": info_system(),
+        'cuda': info_cuda(),
+        'packages': info_packages(),
+    }
+    lines = nice_print(details)
+    text = os.linesep.join(lines)
+    print(text)
+
+
+if __name__ == '__main__':
+    main()