[CI] move env print to util, add pt, nccl versions (#14607)
* move env print to util, add pt, nccl versions * style * version * align
This commit is contained in:
Stas Bekman
20
.github/workflows/self-nightly-scheduled.yml
vendored
20
.github/workflows/self-nightly-scheduled.yml
vendored
@@ -40,10 +40,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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run: |
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@@ -110,10 +107,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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env:
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@@ -166,10 +160,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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run: |
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@@ -211,10 +202,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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run: |
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20
.github/workflows/self-push.yml
vendored
20
.github/workflows/self-push.yml
vendored
@@ -46,10 +46,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Fetch the tests to run
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run: |
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@@ -216,10 +213,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Fetch the tests to run
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run: |
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@@ -385,10 +379,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Fetch the tests to run
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run: |
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@@ -442,10 +433,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Fetch the tests to run
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run: |
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20
.github/workflows/self-scheduled.yml
vendored
20
.github/workflows/self-scheduled.yml
vendored
@@ -39,10 +39,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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run: |
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@@ -242,10 +239,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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env:
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@@ -391,10 +385,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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run: |
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@@ -434,10 +425,7 @@ jobs:
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- name: Are GPUs recognized by our DL frameworks
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run: |
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python -c "import torch; print('Cuda available:', torch.cuda.is_available())"
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python -c "import torch; print('Cuda version:', torch.version.cuda)"
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python -c "import torch; print('CuDNN version:', torch.backends.cudnn.version())"
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python -c "import torch; print('Number of GPUs available:', torch.cuda.device_count())"
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utils/print_env_pt.py
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- name: Run all tests on GPU
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run: |
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