Drop torch 1.6 support

.github/workflows/ci_dockers.yml

@@ -93,7 +93,7 @@ jobs:
       matrix:
         # the config used in '.github/workflows/ci_test-conda.yml'
         python_version: ["3.8"]
-        pytorch_version: ["1.6", "1.7", "1.8", "1.9", "1.10"]
+        pytorch_version: ["1.7", "1.8", "1.9", "1.10"]
     steps:
       - name: Checkout
         uses: actions/checkout@v2

.github/workflows/ci_test-conda.yml

@@ -15,7 +15,7 @@ jobs:
       fail-fast: false
       matrix:
         python-version: ["3.8"]  # previous to last Python version as that one is already used in test-full
-        pytorch-version: ["1.6", "1.7", "1.8", "1.9", "1.10"]
+        pytorch-version: ["1.7", "1.8", "1.9", "1.10"]
 
     # Timeout: https://stackoverflow.com/a/59076067/4521646
     timeout-minutes: 35

.github/workflows/ci_test-full.yml

@@ -28,11 +28,6 @@ jobs:
           - {os: macOS-10.15, python-version: "3.6", requires: "oldest", release: "stable"}
           # nightly: add when there's a release candidate
           #- {os: ubuntu-20.04, python-version: "3.10", requires: "latest", release: "pre"}
-        exclude:
-          # PyTorch 1.6 is not available with Python 3.9: https://github.com/pytorch/pytorch/issues/46205
-          - {os: ubuntu-18.04, python-version: "3.9", requires: "oldest", release: "stable"}
-          - {os: windows-2019, python-version: "3.9", requires: "oldest", release: "stable"}
-          - {os: macOS-10.15, python-version: "3.9", requires: "oldest", release: "stable"}
 
     # Timeout: https://stackoverflow.com/a/59076067/4521646
     # TODO: the macOS is taking too long, probably caching did not work...

.github/workflows/events-nightly.yml

@@ -123,7 +123,7 @@ jobs:
       matrix:
         # the config used in '.github/workflows/ci_test-conda.yml'
         python_version: ["3.8"]
-        pytorch_version: ["1.6", "1.7", "1.8", "1.9", "1.10"]
+        pytorch_version: ["1.7", "1.8", "1.9", "1.10"]
 
     steps:
       - name: Checkout

.github/workflows/release-docker.yml

@@ -16,7 +16,7 @@ jobs:
       fail-fast: false
       matrix:
         python_version: ["3.6", "3.7", "3.8", "3.9"]
-        pytorch_version: ["1.6", "1.7", "1.8", "1.9"]
+        pytorch_version: ["1.7", "1.8", "1.9"]
     steps:
       - name: Checkout
         uses: actions/checkout@v2

CHANGELOG.md

@@ -84,6 +84,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Removed deprecated property `is_slurm_managing_tasks` from AcceleratorConnector ([#10353](https://github.com/PyTorchLightning/pytorch-lightning/pull/10353))
 
 
+- Removed PyTorch 1.6 support ([#10367](https://github.com/PyTorchLightning/pytorch-lightning/pull/10367))
+
+
 - Removed deprecated method `master_params` from PrecisionPlugin ([#10372](https://github.com/PyTorchLightning/pytorch-lightning/pull/10372))
 
 

environment.yml

@@ -29,7 +29,7 @@ dependencies:
     - python>=3.6
     - pip>20.1
     - numpy>=1.17.2
-    - pytorch>=1.6
+    - pytorch>=1.7.*
     - future>=0.17.1
     - PyYAML>=5.1
     - tqdm>=4.41.0
@@ -41,9 +41,10 @@ dependencies:
     - scikit-learn>=0.20.0
     - matplotlib>=3.1.1
     - omegaconf>=2.0.5
+    - torchtext>=0.8.*
 
     # Examples
-    - torchvision>=0.6
+    - torchvision>=0.8.*
 
     - pip:
         - test-tube>=0.7.5

requirements.txt

@@ -1,7 +1,7 @@
 # the default package dependencies
 
 numpy>=1.17.2
-torch>=1.6
+torch>=1.7.*
 future>=0.17.1  # required for builtins in setup.py
 tqdm>=4.41.0
 PyYAML>=5.1

requirements/adjust_versions.py

@@ -14,7 +14,6 @@
     dict(torch="1.8.0", torchvision="0.9.0", torchtext="0.9.0"),
     dict(torch="1.7.1", torchvision="0.8.2", torchtext="0.8.1"),
     dict(torch="1.7.0", torchvision="0.8.1", torchtext="0.8.0"),
-    dict(torch="1.6.0", torchvision="0.7.0", torchtext="0.7"),
 ]
 
 
@@ -33,28 +32,59 @@ def find_latest(ver: str) -> Dict[str, str]:
     raise ValueError(f"Missing {ver} in {VERSIONS}")
 
 
-def main(path_req: str, torch_version: Optional[str] = None) -> None:
+def main(req: str, torch_version: Optional[str] = None) -> str:
     if not torch_version:
         import torch
 
         torch_version = torch.__version__
     assert torch_version, f"invalid torch: {torch_version}"
 
-    with open(path_req) as fp:
-        req = fp.read()
-    # remove comments
-    req = re.sub(rf"\s*#.*{os.linesep}", os.linesep, req)
+    # remove comments and strip whitespace
+    req = re.sub(rf"\s*#.*{os.linesep}", os.linesep, req).strip()
 
     latest = find_latest(torch_version)
     for lib, version in latest.items():
-        replace = f"{lib}=={version}" if version else lib
-        replace += os.linesep
-        req = re.sub(rf"{lib}[>=]*[\d\.]*{os.linesep}", replace, req)
+        replace = f"{lib}=={version}" if version else ""
+        req = re.sub(rf"\b{lib}(?!\w).*", replace, req)
 
-    print(req)  # on purpose - to debug
-    with open(path_req, "w") as fp:
-        fp.write(req)
+    return req
+
+
+def test():
+    requirements = """
+    torch>=1.2.*
+    torch==1.2.3
+    torch==1.4
+    torch
+    future>=0.17.1
+    pytorch==1.5.6+123dev0
+    torchvision
+    torchmetrics>=0.4.1
+    """
+    expected = """
+    torch==1.9.1
+    torch==1.9.1
+    torch==1.9.1
+    torch==1.9.1
+    future>=0.17.1
+    pytorch==1.5.6+123dev0
+    torchvision==0.10.1
+    torchmetrics>=0.4.1
+    """.strip()
+    actual = main(requirements, "1.9")
+    assert actual == expected, (actual, expected)
 
 
 if __name__ == "__main__":
-    main(*sys.argv[1:])
+    test()  # sanity check
+
+    if len(sys.argv) == 3:
+        requirements_path, torch_version = sys.argv[1:]
+    else:
+        requirements_path, torch_version = sys.argv[1], None
+
+    with open(requirements_path, "r+") as fp:
+        requirements = fp.read()
+        requirements = main(requirements, torch_version)
+        print(requirements)  # on purpose - to debug
+        fp.write(requirements)

requirements/examples.txt

@@ -1,3 +1,3 @@
-torchvision>=0.7
+torchvision>=0.8.*
 gym>=0.17.0
 ipython[all]

requirements/extra.txt

@@ -2,7 +2,7 @@
 
 matplotlib>3.1
 horovod>=0.21.2  # no need to install with [pytorch] as pytorch is already installed
-torchtext>=0.7
+torchtext>=0.8.*
 omegaconf>=2.0.5
 hydra-core>=1.0.5
 jsonargparse[signatures]>=3.19.3