Upload folder using huggingface_hub

coatnetStage1/coatnet-70-10-20-split.log

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coatnetStage1/models/model.pth

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coatnetStage2/coatnet-stage2.log

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coatnetStage2/models/coatnet-stage2.pth

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convnextStage1/convnextv2-large-70-10-20-split.log

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convnextStage2/convnextv2-stage2.log

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densenet121/pytorch-xla-env-setup.py

@@ -0,0 +1,182 @@
+#!/usr/bin/env python
+# Sample usage:
+#   python env-setup.py --version 1.11 --apt-packages libomp5
+import argparse
+import collections
+from datetime import datetime
+import os
+import platform
+import re
+import requests
+import subprocess
+import threading
+import sys
+
+VersionConfig = collections.namedtuple('VersionConfig',
+                                       ['wheels', 'tpu', 'py_version', 'cuda_version'])
+DEFAULT_CUDA_VERSION = '11.2'
+OLDEST_VERSION = datetime.strptime('20200318', '%Y%m%d')
+NEW_VERSION = datetime.strptime('20220315', '%Y%m%d')  # 1.11 release date
+OLDEST_GPU_VERSION = datetime.strptime('20200707', '%Y%m%d')
+DIST_BUCKET = 'gs://tpu-pytorch/wheels'
+TORCH_WHEEL_TMPL = 'torch-{whl_version}-cp{py_version}-cp{py_version}-linux_x86_64.whl'
+TORCH_XLA_WHEEL_TMPL = 'torch_xla-{whl_version}-cp{py_version}-cp{py_version}-linux_x86_64.whl'
+TORCHVISION_WHEEL_TMPL = 'torchvision-{whl_version}-cp{py_version}-cp{py_version}-linux_x86_64.whl'
+VERSION_REGEX = re.compile(r'^(\d+\.)+\d+$')
+
+def is_gpu_runtime():
+  return os.environ.get('COLAB_GPU', 0) == '1'
+
+
+def is_tpu_runtime():
+  return 'TPU_NAME' in os.environ
+
+
+def update_tpu_runtime(tpu_name, version):
+  print(f'Updating TPU runtime to {version.tpu} ...')
+
+  try:
+    import cloud_tpu_client
+  except ImportError:
+    subprocess.call([sys.executable, '-m', 'pip', 'install', 'cloud-tpu-client'])
+    import cloud_tpu_client
+
+  client = cloud_tpu_client.Client(tpu_name)
+  client.configure_tpu_version(version.tpu)
+  print('Done updating TPU runtime')
+
+
+def get_py_version():
+  version_tuple = platform.python_version_tuple()
+  return version_tuple[0] + version_tuple[1]  # major_version + minor_version
+
+
+def get_cuda_version():
+  if is_gpu_runtime():
+    # cuda available, install cuda wheels
+    return DEFAULT_CUDA_VERSION
+
+
+def get_version(version):
+  cuda_version = get_cuda_version()
+  if version == 'nightly':
+    return VersionConfig(
+      'nightly', 'pytorch-nightly', get_py_version(), cuda_version)
+
+  version_date = None
+  try:
+    version_date = datetime.strptime(version, '%Y%m%d')
+  except ValueError:
+    pass  # Not a dated nightly.
+
+  if version_date:
+    if cuda_version and version_date < OLDEST_GPU_VERSION:
+      raise ValueError(
+        f'Oldest nightly version build with CUDA available is {OLDEST_GPU_VERSION}')
+    elif not cuda_version and version_date < OLDEST_VERSION:
+      raise ValueError(f'Oldest nightly version available is {OLDEST_VERSION}')
+    return VersionConfig(f'nightly+{version}', f'pytorch-dev{version}',
+                         get_py_version(), cuda_version)
+
+
+  if not VERSION_REGEX.match(version):
+    raise ValueError(f'{version} is an invalid torch_xla version pattern')
+  return VersionConfig(
+    version, f'pytorch-{version}', get_py_version(), cuda_version)
+
+
+def install_vm(version, apt_packages, is_root=False):
+  dist_bucket = DIST_BUCKET
+
+  if version.cuda_version:
+    # Distributions for GPU runtime
+    # Note: GPU wheels available from 1.11
+    dist_bucket = os.path.join(
+      DIST_BUCKET, 'cuda/{}'.format(version.cuda_version.replace('.', '')))
+  else:
+    # Distributions for TPU runtime
+    # Note: this redirection is required for 1.11 & nightly releases
+    # because the current 2 VM wheels are not compatible with colab environment.
+    if version.wheels == 'nightly':
+      dist_bucket = os.path.join(DIST_BUCKET, 'colab/')
+    elif 'nightly+' in version.wheels:
+      build_date = datetime.strptime( version.wheels.split('+')[1], '%Y%m%d')
+      if build_date >= NEW_VERSION:
+        dist_bucket = os.path.join(DIST_BUCKET, 'colab/')
+    elif VERSION_REGEX.match(version.wheels):
+      minor = int(version.wheels.split('.')[1])
+      if minor >= 11:
+        dist_bucket = os.path.join(DIST_BUCKET, 'colab/')
+    else:
+      raise ValueError(f'{version} is an invalid torch_xla version pattern')
+
+  torch_whl = TORCH_WHEEL_TMPL.format(
+      whl_version=version.wheels, py_version=version.py_version)
+  torch_whl_path = os.path.join(dist_bucket, torch_whl)
+  torch_xla_whl = TORCH_XLA_WHEEL_TMPL.format(
+      whl_version=version.wheels, py_version=version.py_version)
+  torch_xla_whl_path = os.path.join(dist_bucket, torch_xla_whl)
+  torchvision_whl = TORCHVISION_WHEEL_TMPL.format(
+      whl_version=version.wheels, py_version=version.py_version)
+  torchvision_whl_path = os.path.join(dist_bucket, torchvision_whl)
+  apt_cmd = ['apt-get', 'install', '-y']
+  apt_cmd.extend(apt_packages)
+
+  if not is_root:
+    # Colab/Kaggle run as root, but not GCE VMs so we need privilege
+    apt_cmd.insert(0, 'sudo')
+
+  installation_cmds = [
+      [sys.executable, '-m', 'pip', 'uninstall', '-y', 'torch', 'torchvision'],
+      ['gsutil', 'cp', torch_whl_path, '.'],
+      ['gsutil', 'cp', torch_xla_whl_path, '.'],
+      ['gsutil', 'cp', torchvision_whl_path, '.'],
+      [sys.executable, '-m', 'pip', 'install', torch_whl],
+      [sys.executable, '-m', 'pip', 'install', torch_xla_whl],
+      [sys.executable, '-m', 'pip', 'install', torchvision_whl],
+      apt_cmd,
+  ]
+  for cmd in installation_cmds:
+    subprocess.call(cmd)
+
+
+def run_setup(args):
+  version = get_version(args.version)
+  # Update TPU
+  print('Updating... This may take around 2 minutes.')
+
+  if is_tpu_runtime():
+    update = threading.Thread(
+        target=update_tpu_runtime, args=(
+            args.tpu,
+            version,
+        ))
+    update.start()
+
+  install_vm(version, args.apt_packages, is_root=not args.tpu)
+
+  if is_tpu_runtime():
+    update.join()
+
+
+if __name__ == '__main__':
+  parser = argparse.ArgumentParser()
+  parser.add_argument(
+      '--version',
+      type=str,
+      default='20200515',
+      help='Versions to install (nightly, release version, or YYYYMMDD).',
+  )
+  parser.add_argument(
+      '--apt-packages',
+      nargs='+',
+      default=['libomp5'],
+      help='List of apt packages to install',
+  )
+  parser.add_argument(
+      '--tpu',
+      type=str,
+      help='[GCP] Name of the TPU (same zone, project as VM running script)',
+  )
+  args = parser.parse_args()
+  run_setup(args)

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+[{"stream_name":"stderr","time":21.111565754,"data":"[IPKernelApp] WARNING | Error in loading extension: bq_stats\n"}
+,{"stream_name":"stderr","time":21.111635018,"data":"Check your config files in /root/.ipython/profile_default\n"}
+,{"stream_name":"stderr","time":21.111644848,"data":"Traceback (most recent call last):\n"}
+,{"stream_name":"stderr","time":21.11165226,"data":"  File \"/opt/conda/lib/python3.10/site-packages/IPython/core/shellapp.py\", line 282, in init_extensions\n"}
+,{"stream_name":"stderr","time":21.111658157,"data":"    self.shell.extension_manager.load_extension(ext)\n"}
+,{"stream_name":"stderr","time":21.111664278,"data":"  File \"/opt/conda/lib/python3.10/site-packages/IPython/core/extensions.py\", line 76, in load_extension\n"}
+,{"stream_name":"stderr","time":21.111669706,"data":"    return self._load_extension(module_str)\n"}
+,{"stream_name":"stderr","time":21.111674273,"data":"  File \"/opt/conda/lib/python3.10/site-packages/IPython/core/extensions.py\", line 91, in _load_extension\n"}
+,{"stream_name":"stderr","time":21.1116789,"data":"    mod = import_module(module_str)\n"}
+,{"stream_name":"stderr","time":21.111683823,"data":"  File \"/opt/conda/lib/python3.10/importlib/__init__.py\", line 126, in import_module\n"}
+,{"stream_name":"stderr","time":21.11168866,"data":"    return _bootstrap._gcd_import(name[level:], package, level)\n"}
+,{"stream_name":"stderr","time":21.11169309,"data":"  File \"\u003cfrozen importlib._bootstrap\u003e\", line 1050, in _gcd_import\n"}
+,{"stream_name":"stderr","time":21.11169795,"data":"  File \"\u003cfrozen importlib._bootstrap\u003e\", line 1027, in _find_and_load\n"}
+,{"stream_name":"stderr","time":21.111714736,"data":"  File \"\u003cfrozen importlib._bootstrap\u003e\", line 1004, in _find_and_load_unlocked\n"}
+,{"stream_name":"stderr","time":21.111722649,"data":"ModuleNotFoundError: No module named 'bq_stats'\n"}
+,{"stream_name":"stderr","time":28.675862968,"data":"/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version \u003e=1.16.5 and \u003c1.23.0 is required for this version of SciPy (detected version 1.23.5\n"}
+,{"stream_name":"stderr","time":28.675888445,"data":"  warnings.warn(f\"A NumPy version \u003e={np_minversion} and \u003c{np_maxversion}\"\n"}
+,{"stream_name":"stderr","time":34.799564081,"data":"\r  0%|          | 0/14 [00:00\u003c?, ?it/s]\r 14%|█▍        | 2/14 [00:00\u003c00:00, 13.24it/s]\r 29%|██▊       | 4/14 [00:00\u003c00:00, 13.67it/s]\r 43%|████▎     | 6/14 [00:00\u003c00:00, 13.89it/s]\r 57%|█████▋    | 8/14 [00:00\u003c00:00, 13.87it/s]\r 71%|███████▏  | 10/14 [00:00\u003c00:00, 13.75it/s]\r 86%|████████▌ | 12/14 [00:00\u003c00:00, 13.67it/s]\r100%|██████████| 14/14 [00:01\u003c00:00, 13.75it/s]\r100%|██████████| 14/14 [00:01\u003c00:00, 13.72it/s]\n"}
+,{"stream_name":"stdout","time":38.330820776,"data":"train_val size 89764\n"}
+,{"stream_name":"stdout","time":38.330900398,"data":"test size 22356\n"}
+,{"stream_name":"stdout","time":169.06150595,"data":"intial learning rate= 0.0030199517495930195\n"}
+,{"stream_name":"stdout","time":3377.147750093,"data":"Better model found at epoch 0 with valid_loss value: 0.17089305818080902.\n"}
+,{"stream_name":"stdout","time":6571.129172978,"data":"Better model found at epoch 1 with valid_loss value: 0.16517038643360138.\n"}
+,{"stream_name":"stdout","time":9715.657844993,"data":"Better model found at epoch 2 with valid_loss value: 0.15780846774578094.\n"}
+,{"stream_name":"stdout","time":12995.783117722,"data":"Better model found at epoch 0 with valid_loss value: 0.15297459065914154.\n"}
+,{"stream_name":"stdout","time":16288.106167695,"data":"Better model found at epoch 1 with valid_loss value: 0.14971625804901123.\n"}
+,{"stream_name":"stdout","time":19541.551798912,"data":"Better model found at epoch 2 with valid_loss value: 0.14838682115077972.\n"}
+,{"stream_name":"stdout","time":22794.603883683,"data":"Better model found at epoch 3 with valid_loss value: 0.14551527798175812.\n"}
+,{"stream_name":"stdout","time":26081.844417965,"data":"Better model found at epoch 4 with valid_loss value: 0.1441032737493515.\n"}
+,{"stream_name":"stdout","time":29337.458525703,"data":"Better model found at epoch 5 with valid_loss value: 0.14240214228630066.\n"}
+,{"stream_name":"stdout","time":32566.646916765,"data":"Better model found at epoch 6 with valid_loss value: 0.142034113407135.\n"}
+,{"stream_name":"stderr","time":42338.934408481,"data":"/opt/conda/lib/python3.10/site-packages/traitlets/traitlets.py:2930: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass `--Exporter.preprocessors item` ... multiple times to add items to a list.\n"}
+,{"stream_name":"stderr","time":42338.934462958,"data":"  warn(\n"}
+,{"stream_name":"stderr","time":42338.98978453,"data":"[NbConvertApp] WARNING | Config option `kernel_spec_manager_class` not recognized by `NbConvertApp`.\n"}
+,{"stream_name":"stderr","time":42339.017757787,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to notebook\n"}
+,{"stream_name":"stderr","time":42339.45794496,"data":"[NbConvertApp] Writing 148098 bytes to __notebook__.ipynb\n"}
+,{"stream_name":"stderr","time":42341.177536633,"data":"/opt/conda/lib/python3.10/site-packages/traitlets/traitlets.py:2930: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass `--Exporter.preprocessors item` ... multiple times to add items to a list.\n"}
+,{"stream_name":"stderr","time":42341.177574857,"data":"  warn(\n"}
+,{"stream_name":"stderr","time":42341.180447043,"data":"[NbConvertApp] WARNING | Config option `kernel_spec_manager_class` not recognized by `NbConvertApp`.\n"}
+,{"stream_name":"stderr","time":42341.297894958,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to html\n"}
+,{"stream_name":"stderr","time":42342.811455617,"data":"[NbConvertApp] Support files will be in __results___files/\n"}
+,{"stream_name":"stderr","time":42342.811674085,"data":"[NbConvertApp] Making directory __results___files\n"}
+,{"stream_name":"stderr","time":42342.812179286,"data":"[NbConvertApp] Making directory __results___files\n"}
+,{"stream_name":"stderr","time":42342.81242489,"data":"[NbConvertApp] Making directory __results___files\n"}
+,{"stream_name":"stderr","time":42342.812624738,"data":"[NbConvertApp] Writing 322848 bytes to __results__.html\n"}
+]