Traceback (most recent call last):
File "multiprocessing\process.py", line 314, in bootstrap
File "multiprocessing\process.py", line 108, in run
File "buzz\transcriber\whisper_file_transcriber.py", line 195, in transcribe_whisper
File "buzz\transcriber\whisper_file_transcriber.py", line 342, in transcribe_openai_whisper
File "whisper_init.py", line 156, in load_model
File "torch\nn\modules\module.py", line 2624, in load_state_dict
raise RuntimeError(
RuntimeError: Error(s) in loading state_dict for Whisper:
While copying the parameter named "encoder.blocks.0.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.0.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.0.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.0.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.0.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.0.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.1.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.1.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.1.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.1.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.1.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.1.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.2.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.2.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.2.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.2.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.2.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.2.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.3.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.3.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.3.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.3.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.3.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "encoder.blocks.3.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.0.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.1.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.2.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "decoder.blocks.3.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 4, in
File "buzz\buzz.py", line 59, in main
File "pyi_rth_multiprocessing.py", line 48, in _freeze_support
File "multiprocessing\spawn.py", line 122, in spawn_main
File "multiprocessing\spawn.py", line 135, in _main
File "multiprocessing\process.py", line 329, in _bootstrap
AttributeError: 'NoneType' object has no attribute 'write'
Traceback (most recent call last):
File "multiprocessing\process.py", line 314, in bootstrap
File "multiprocessing\process.py", line 108, in run
File "buzz\transcriber\whisper_file_transcriber.py", line 195, in transcribe_whisper
File "buzz\transcriber\whisper_file_transcriber.py", line 342, in transcribe_openai_whisper
File "whisper_init.py", line 156, in load_model
File "torch\nn\modules\module.py", line 2624, in load_state_dict
raise RuntimeError(
RuntimeError: Error(s) in loading state_dict for Whisper:
While copying the parameter named "encoder.blocks.0.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.0.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.0.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.0.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.0.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.0.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.1.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.1.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.1.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.1.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.1.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.1.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.2.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.2.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.2.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.2.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.2.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.2.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.3.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.3.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.3.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.3.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.3.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "encoder.blocks.3.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.0.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.1.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.2.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.cross_attn.query.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.cross_attn.key.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.cross_attn.value.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.cross_attn.out.weight", whose dimensions in the model are torch.Size([384, 384]) and whose dimensions in the checkpoint are torch.Size([384, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.mlp.0.weight", whose dimensions in the model are torch.Size([1536, 384]) and whose dimensions in the checkpoint are torch.Size([1536, 384]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).While copying the parameter named "decoder.blocks.3.mlp.2.weight", whose dimensions in the model are torch.Size([384, 1536]) and whose dimensions in the checkpoint are torch.Size([384, 1536]), an exception occurred : ('CUDA error: no kernel image is available for execution on the device\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1\nCompile with
TORCH_USE_CUDA_DSAto enable device-side assertions.\n',).During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "main.py", line 4, in
File "buzz\buzz.py", line 59, in main
File "pyi_rth_multiprocessing.py", line 48, in _freeze_support
File "multiprocessing\spawn.py", line 122, in spawn_main
File "multiprocessing\spawn.py", line 135, in _main
File "multiprocessing\process.py", line 329, in _bootstrap
AttributeError: 'NoneType' object has no attribute 'write'