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Support power of 2 scaling factors in float8 training and use e4m3 everywhere #7945

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Support power of 2 scaling factors in float8 training and use e4m3 everywhere

Support power of 2 scaling factors in float8 training and use e4m3 everywhere #7945

Triggered via pull request February 7, 2025 01:04
@danielvegamyhredanielvegamyhre
synchronize #1670
danielvegamyhre:powerof2
Status Failure
Total duration 1h 13m 24s
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regression_test.yml

on: pull_request
Matrix: test-nightly
Matrix: test
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2 errors
test (CUDA 2.4, linux.g5.12xlarge.nvidia.gpu, torch==2.4.0, cuda, 12.1) / linux-job
Process completed with exit code 1.
test (CUDA 2.5.1, linux.g5.12xlarge.nvidia.gpu, torch==2.5.1 --index-url https://download.pytorch... / linux-job
Process completed with exit code 1.