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trying start training on windows with RTX 3050 8GB
[email protected] is not supported because:
xFormers wasn't build with CUDA support
operator wasn't built - see python -m xformers.info for more info cutlassF-pt is not supported because:
xFormers wasn't build with CUDA support
xFormers 0.0.28.post3
memory_efficient_attention.ckF: unavailable
memory_efficient_attention.ckB: unavailable
memory_efficient_attention.ck_decoderF: unavailable
memory_efficient_attention.ck_splitKF: unavailable
memory_efficient_attention.cutlassF-pt: available
memory_efficient_attention.cutlassB-pt: available [email protected]: unavailable [email protected]: unavailable [email protected]: unavailable [email protected]: unavailable
memory_efficient_attention.triton_splitKF: available
indexing.scaled_index_addF: available
indexing.scaled_index_addB: available
indexing.index_select: available
sequence_parallel_fused.write_values: available
sequence_parallel_fused.wait_values: available
sequence_parallel_fused.cuda_memset_32b_async: available
sp24.sparse24_sparsify_both_ways: available
sp24.sparse24_apply: available
sp24.sparse24_apply_dense_output: available
sp24._sparse24_gemm: available [email protected]: available [email protected]: available
swiglu.dual_gemm_silu: available
swiglu.gemm_fused_operand_sum: available
swiglu.fused.p.cpp: available
is_triton_available: True
pytorch.version: 2.5.1
pytorch.cuda: available
gpu.compute_capability: 8.6
gpu.name: NVIDIA GeForce RTX 3050
dcgm_profiler: unavailable
build.info: available
build.cuda_version: None
build.hip_version: None
build.python_version: 3.11.10
build.torch_version: 2.5.1
build.env.TORCH_CUDA_ARCH_LIST: None
build.env.PYTORCH_ROCM_ARCH: None
build.env.XFORMERS_BUILD_TYPE: None
build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS: None
build.env.NVCC_FLAGS: None
build.env.XFORMERS_PACKAGE_FROM: None
source.privacy: open source
how i can install or build xformers with CUDA support?
The text was updated successfully, but these errors were encountered:
trying start training on windows with RTX 3050 8GB
[email protected]
is not supported because:xFormers wasn't build with CUDA support
operator wasn't built - see
python -m xformers.info
for more infocutlassF-pt
is not supported because:xFormers wasn't build with CUDA support
-xformers 0.0.28.post3
-pytorch 2.5.1
-pytorch-cuda 12.1
-python 3.11.10
python -m xformers.info give me this
xFormers 0.0.28.post3
memory_efficient_attention.ckF: unavailable
memory_efficient_attention.ckB: unavailable
memory_efficient_attention.ck_decoderF: unavailable
memory_efficient_attention.ck_splitKF: unavailable
memory_efficient_attention.cutlassF-pt: available
memory_efficient_attention.cutlassB-pt: available
[email protected]: unavailable
[email protected]: unavailable
[email protected]: unavailable
[email protected]: unavailable
memory_efficient_attention.triton_splitKF: available
indexing.scaled_index_addF: available
indexing.scaled_index_addB: available
indexing.index_select: available
sequence_parallel_fused.write_values: available
sequence_parallel_fused.wait_values: available
sequence_parallel_fused.cuda_memset_32b_async: available
sp24.sparse24_sparsify_both_ways: available
sp24.sparse24_apply: available
sp24.sparse24_apply_dense_output: available
sp24._sparse24_gemm: available
[email protected]: available
[email protected]: available
swiglu.dual_gemm_silu: available
swiglu.gemm_fused_operand_sum: available
swiglu.fused.p.cpp: available
is_triton_available: True
pytorch.version: 2.5.1
pytorch.cuda: available
gpu.compute_capability: 8.6
gpu.name: NVIDIA GeForce RTX 3050
dcgm_profiler: unavailable
build.info: available
build.cuda_version: None
build.hip_version: None
build.python_version: 3.11.10
build.torch_version: 2.5.1
build.env.TORCH_CUDA_ARCH_LIST: None
build.env.PYTORCH_ROCM_ARCH: None
build.env.XFORMERS_BUILD_TYPE: None
build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS: None
build.env.NVCC_FLAGS: None
build.env.XFORMERS_PACKAGE_FROM: None
source.privacy: open source
how i can install or build xformers with CUDA support?
The text was updated successfully, but these errors were encountered: