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requirements: use stable torch packages on s390x (#26864)
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@@ -1,6 +1,6 @@
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch
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torchvision
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torchvision; platform_machine != "s390x"
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transformers
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huggingface-hub
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accelerate
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@@ -2,8 +2,4 @@
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--extra-index-url https://download.pytorch.org/whl/cpu
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## Embedding Gemma requires PyTorch 2.6.0 or later, bumped to 2.11.0 for compatibility
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torch==2.11.0; platform_machine != "s390x"
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# torch s390x packages can only be found from nightly builds
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--extra-index-url https://download.pytorch.org/whl/nightly
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torch>=0.0.0.dev0; platform_machine == "s390x"
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torch==2.11.0
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@@ -1,4 +1,2 @@
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-r ./requirements-convert_hf_to_gguf.txt
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--extra-index-url https://download.pytorch.org/whl/cpu
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# torch s390x packages can only be found from nightly builds
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--extra-index-url https://download.pytorch.org/whl/nightly
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@@ -2,11 +2,5 @@
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--extra-index-url https://download.pytorch.org/whl/cpu
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pillow~=11.3.0
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## Embedding Gemma requires PyTorch 2.6.0 or later, bumped to 2.11.0 for compatibility
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torch==2.11.0; platform_machine != "s390x" # check_requirements: ignore "=="
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torch==2.11.0 # check_requirements: ignore "=="
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torchvision==0.26.0; platform_machine != "s390x" # check_requirements: ignore "=="
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# torch s390x packages can only be found from nightly builds
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--extra-index-url https://download.pytorch.org/whl/nightly
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torch>=0.0.0.dev0; platform_machine == "s390x" # check_requirements: ignore "=="
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torchvision>=0.0.0.dev0; platform_machine == "s390x" # check_requirements: ignore "=="
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