Fix/freeu suppress complexhalf warning #12511
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This commit adds configurations and setup scripts to resolve NCCL timeout issues during DeepSpeed ZeRO-2 training on H200 GPUs. The changes include: - Extended NCCL and DeepSpeed timeouts - Optimized bucket sizes for gradient communication - CPU and dataloader optimizations - System shared memory improvements - Enhanced debugging capabilities The implementation provides: 1. DeepSpeed ZeRO-2 configuration (ds_config_zero2.json) 2. Environment setup script (setup_training_env.sh) 3. Accelerate configuration (accelerate_config.yaml) These changes improve training stability on H200 GPUs with high-resolution data and aggressive configurations.
…ations When using FreeU with half-precision (torch.float16) models, PyTorch may emit UserWarnings about experimental ComplexHalf support during FFT operations. This change locally suppresses that specific warning in the fourier_filter function to avoid flooding user logs while preserving behavior. - Added warnings import - Added local warning suppression around fftn/ifftn calls when dtype is float16 - Only suppresses the specific ComplexHalf experimental warning
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When using FreeU with half-precision (torch.float16) models, PyTorch may emit
UserWarnings about experimental ComplexHalf support during FFT operations.
This change locally suppresses that specific warning in the fourier_filter
function to avoid flooding user logs while preserving behavior.
Fix Why use torch.repeat instead of torch.repeat_interleave in train_dreambooth_lora_sdxl #12292