WhisperSpeech
WhisperSpeech copied to clipboard
collabora
cudaMallocAsync does not yet support checkPoolLiveAllocations. If you need it, please file an issue describing your use case.
I always get this error
[2024-04-15 13:57:46,399] [0/0] torch._dynamo.variables.torch: [WARNING] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
/home/impactframes/micromamba/envs/comfy/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
self.pid = os.fork()
WSL Ubuntu CUDA 12.1
It works setting torch.compile to False but is not ideal maybe my torch is too new and it manage mem allocation differently
torch 2.2.1+cu121 torch_scatter 2.1.2 torchaudio 2.2.1+cu121
The "Profiler function" warning sohuld be 100% harmless. I am not sure where forking may be used during inference.
Were you able to figure out the cause of the issue?
Not really I think is because my torch setup is newer than whisperspeech expects and handles the memory allocation differently, I can run very slowly on CPU by disabling torch_compile on the pipeline arguments, but is not ideal I will try other pytorch environments but this is definitely not good since other things I need to use needs the current version of pythorch I am using.
The first message And wrote has a warning to do with Jax and cpython also about multy threading so that might be also . Another thing it also looks like it has trouble on Windows too.
On Tue, Apr 16, 2024, 2:31 PM Jakub Piotr Cłapa @.***> wrote:
The "Profiler function" warning sohuld be 100% harmless. I am not sure where forking may be used during inference.
Were you able to figure out the cause of the issue?
— Reply to this email directly, view it on GitHub https://github.com/collabora/WhisperSpeech/issues/132#issuecomment-2059102865, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFBUFQTFPK6L2VNS4F6NL4DY5UR4DAVCNFSM6AAAAABGHLSSZ2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDANJZGEYDEOBWGU . You are receiving this because you modified the open/close state.Message ID: @.***>
just in case this is the log the first attempt is successful because I set torch_compile to false but the second time set to true the error is to do with dynamo and triton don't know why here is the full log ` 2.1 seconds: /home/impactframes/ComfyUI/custom_nodes/ComfyUI-IF_AI_tools 4.2 seconds: /home/impactframes/ComfyUI/custom_nodes/ComfyUI-Crystools 6.8 seconds: /home/impactframes/ComfyUI/custom_nodes/ComfyUI-Zho-InstantID
Starting server
To see the GUI go to: http://127.0.0.1:8188 FETCH DATA from: /home/impactframes/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json got prompt Fetch hyperparams.yaml: Using existing file/symlink in ~/.cache/speechbrain/hyperparams.yaml. Fetch custom.py: Delegating to Huggingface hub, source speechbrain/spkrec-ecapa-voxceleb. Fetch embedding_model.ckpt: Using existing file/symlink in ~/.cache/speechbrain/embedding_model.ckpt. Fetch mean_var_norm_emb.ckpt: Using existing file/symlink in ~/.cache/speechbrain/mean_var_norm_emb.ckpt. Fetch classifier.ckpt: Using existing file/symlink in ~/.cache/speechbrain/classifier.ckpt. Fetch label_encoder.txt: Using existing file/symlink in ~/.cache/speechbrain/label_encoder.ckpt. Loading pretrained files for: embedding_model, mean_var_norm_emb, classifier, label_encoder Vibrant green leaf sways, Intricate veins intertwine, Nature's artwork shines. /home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/backends/cuda/init.py:342: FutureWarning: torch.backends.cuda.sdp_kernel() is deprecated. In the future, this context manager will be removed. Please see, torch.nn.attention.sdpa_kernel() for the new context manager, with updated signature. warnings.warn(
<IPython.lib.display.Audio object> ffmpeg version 6.0 Copyright (c) 2000-2023 the FFmpeg developers built with gcc 11 (Ubuntu 11.4.0-1ubuntu1~22.04) configuration: --enable-libx264 --enable-gpl libavutil 58. 2.100 / 58. 2.100 libavcodec 60. 3.100 / 60. 3.100 libavformat 60. 3.100 / 60. 3.100 libavdevice 60. 1.100 / 60. 1.100 libavfilter 9. 3.100 / 9. 3.100 libswscale 7. 1.100 / 7. 1.100 libswresample 4. 10.100 / 4. 10.100 libpostproc 57. 1.100 / 57. 1.100 Guessed Channel Layout for Input Stream #0.0 : mono Input #0, wav, from '/home/impactframes/ComfyUI/output/IF_whisper_speech_20240417104816/IF_whisper_speech_20240417104816.wav': Duration: 00:00:05.47, bitrate: 512 kb/s Stream #0:0: Audio: pcm_f32le ([3][0][0][0] / 0x0003), 16000 Hz, 1 channels, flt, 512 kb/s Stream mapping: Stream #0:0 -> #0:0 (pcm_f32le (native) -> pcm_s16le (native)) Press [q] to stop, [?] for help Output #0, wav, to 'tmp/IF_AI_DreamTalk_20240417104854/IF_AI_DreamTalk_20240417104854_16K.wav': Metadata: ISFT : Lavf60.3.100 Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, mono, s16, 256 kb/s Metadata: encoder : Lavc60.3.100 pcm_s16le size= 171kB time=00:00:05.44 bitrate= 257.4kbits/s speed= 512x video:0kB audio:171kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.044588% Some weights of Wav2Vec2Model were not initialized from the model checkpoint at jonatasgrosman/wav2vec2-large-xlsr-53-english and are newly initialized: ['wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'wav2vec2.encoder.pos_conv_embed.conv.parametrizations.weight.original1'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Moviepy - Building video /home/impactframes/ComfyUI/output/IF_AI_DreamTalk_20240417104854/IF_AI_DreamTalk_20240417104854_converted.mp4. MoviePy - Writing audio in IF_AI_DreamTalk_20240417104854_convertedTEMP_MPY_wvf_snd.mp4 MoviePy - Done. Moviepy - Writing video /home/impactframes/ComfyUI/output/IF_AI_DreamTalk_20240417104854/IF_AI_DreamTalk_20240417104854_converted.mp4
Moviepy - Done ! Moviepy - video ready /home/impactframes/ComfyUI/output/IF_AI_DreamTalk_20240417104854/IF_AI_DreamTalk_20240417104854_converted.mp4
IF_AI_tool_output:
Vibrant green leaf sways, Intricate veins intertwine, Nature's artwork shines. Prompt executed in 101.68 seconds got prompt /home/impactframes/micromamba/envs/comfy/lib/python3.11/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock. self.pid = os.fork()
Fetch hyperparams.yaml: Using existing file/symlink in ~/.cache/speechbrain/hyperparams.yaml. Fetch custom.py: Delegating to Huggingface hub, source speechbrain/spkrec-ecapa-voxceleb. Fetch embedding_model.ckpt: Using existing file/symlink in ~/.cache/speechbrain/embedding_model.ckpt. Fetch mean_var_norm_emb.ckpt: Using existing file/symlink in ~/.cache/speechbrain/mean_var_norm_emb.ckpt. Fetch classifier.ckpt: Using existing file/symlink in ~/.cache/speechbrain/classifier.ckpt. Fetch label_encoder.txt: Using existing file/symlink in ~/.cache/speechbrain/label_encoder.ckpt. Loading pretrained files for: embedding_model, mean_var_norm_emb, classifier, label_encoder Here is a haiku about the image:
Verdant leaf unfurls, Intricate veins glisten green, Nature's artistry. /home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/backends/cuda/init.py:342: FutureWarning: torch.backends.cuda.sdp_kernel() is deprecated. In the future, this context manager will be removed. Please see, torch.nn.attention.sdpa_kernel() for the new context manager, with updated signature. warnings.warn(
W0417 10:51:58.792000 140378514298432 torch/_logging/_internal.py:1016] [0/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored !!! Exception during processing !!! Traceback (most recent call last): File "/home/impactframes/ComfyUI/execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/ComfyUI/execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/ComfyUI/execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/ComfyUI/custom_nodes/ComfyUI-IF_AI_tools/IFWhisperSpeechNode.py", line 115, in generate_audio stoks = pipe.t2s.generate(chunk, cps=cps, show_progress_bar=False)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/whisperspeech/t2s_up_wds_mlang_enclm.py", line 462, in generate toks[:,i+1] = self.generate_next(toks[:,i:i+1], toks_positions[i:i+1], cps_emb, xenc, xenc_positions, T, top_k)[:,0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 410, in _fn return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 977, in catch_errors return callback(frame, cache_entry, hooks, frame_state, skip=1) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 411, in _convert_frame_assert return _compile( ^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_utils_internal.py", line 70, in wrapper_function return function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 700, in _compile guarded_code = compile_inner(code, one_graph, hooks, transform) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 568, in compile_inner out_code = transform_code_object(code, transform) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/bytecode_transformation.py", line 1116, in transform_code_object transformations(instructions, code_options) File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 173, in _fn return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 515, in transform tracer.run() File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 2237, in run super().run() File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 875, in run while self.step(): ^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 790, in step self.dispatch_table[inst.opcode](self, inst) File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 2380, in RETURN_VALUE self._return(inst) File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 2365, in _return self.output.compile_subgraph( File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 1050, in compile_subgraph self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root) File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 1264, in compile_and_call_fx_graph compiled_fn = self.call_user_compiler(gm) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 1331, in call_user_compiler raise BackendCompilerFailed(self.compiler_fn, e).with_traceback( File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 1312, in call_user_compiler compiled_fn = compiler_fn(gm, self.example_inputs()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/dynamo/repro/after_dynamo.py", line 127, in debug_wrapper compiled_gm = compiler_fn(gm, example_inputs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/dynamo/repro/after_dynamo.py", line 127, in debug_wrapper compiled_gm = compiler_fn(gm, example_inputs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/init.py", line 1742, in call return compile_fx(model, inputs, config_patches=self.config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/compile_fx.py", line 1174, in compile_fx return compile_fx( ^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/compile_fx.py", line 1418, in compile_fx return aot_autograd( ^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/backends/common.py", line 65, in compiler_fn cg = aot_module_simplified(gm, example_inputs, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 958, in aot_module_simplified compiled_fn = create_aot_dispatcher_function( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 685, in create_aot_dispatcher_function compiled_fn = compiler_fn( ^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 469, in aot_wrapper_dedupe return compiler_fn(flat_fn, leaf_flat_args, aot_config, fw_metadata=fw_metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 671, in aot_wrapper_synthetic_base return compiler_fn(flat_fn, flat_args, aot_config, fw_metadata=fw_metadata) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py", line 149, in aot_dispatch_base compiled_fw = compiler(fw_module, updated_flat_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/compile_fx.py", line 1322, in fw_compiler_base return inner_compile( ^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/repro/after_aot.py", line 83, in debug_wrapper inner_compiled_fn = compiler_fn(gm, example_inputs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/debug.py", line 304, in inner return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/compile_fx.py", line 477, in compile_fx_inner compiled_graph = fx_codegen_and_compile( ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/compile_fx.py", line 758, in fx_codegen_and_compile compiled_fn = graph.compile_to_fn() ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/graph.py", line 1517, in compile_to_fn return self.compile_to_module().call ^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/graph.py", line 1460, in compile_to_module self.codegen_with_cpp_wrapper() if self.cpp_wrapper else self.codegen() ^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/graph.py", line 1416, in codegen self.scheduler.codegen() File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 266, in time_wrapper r = func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/scheduler.py", line 2473, in codegen self.get_backend(device).codegen_node(node) # type: ignore[possibly-undefined] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/codegen/cuda_combined_scheduling.py", line 69, in codegen_node return self._triton_scheduling.codegen_node(node) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/codegen/triton.py", line 3313, in codegen_node return self.codegen_node_schedule(node_schedule, buf_accesses, numel, rnumel) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/codegen/triton.py", line 3483, in codegen_node_schedule src_code = kernel.codegen_kernel() ^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/_inductor/codegen/triton.py", line 2806, in codegen_kernel "backend_hash": torch.utils._triton.triton_hash_with_backend(), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/utils/_triton.py", line 62, in triton_hash_with_backend backend = triton_backend() ^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/torch/utils/_triton.py", line 48, in triton_backend target = driver.active.get_current_target() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/runtime/driver.py", line 23, in getattr self._initialize_obj() File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/runtime/driver.py", line 20, in _initialize_obj self._obj = self._init_fn() ^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/runtime/driver.py", line 9, in _create_driver return actives0 ^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/backends/nvidia/driver.py", line 350, in init self.utils = CudaUtils() # TODO: make static ^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/backends/nvidia/driver.py", line 79, in init mod = compile_module_from_src(Path(os.path.join(dirname, "driver.c")).read_text(), "cuda_utils") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/backends/nvidia/driver.py", line 56, in compile_module_from_src so = _build(name, src_path, tmpdir, library_dirs(), include_dir, libraries) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/triton/runtime/build.py", line 77, in _build setuptools.setup(**args) File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/setuptools/init.py", line 155, in setup return distutils.core.setup(**attrs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/setuptools/_distutils/core.py", line 148, in setup return run_commands(dist) ^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/setuptools/_distutils/core.py", line 163, in run_commands dist.run_commands() File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 967, in run_commands self.run_command(cmd) File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 984, in run_command cmd_obj = self.get_command_obj(command) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 859, in get_command_obj cmd_obj = self.command_obj[command] = klass(self) ^^^^^^^^^^^ File "/home/impactframes/micromamba/envs/comfy/lib/python3.11/distutils/cmd.py", line 57, in init raise TypeError("dist must be a Distribution instance") torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised: TypeError: dist must be a Distribution instance
Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information
You can suppress this exception and fall back to eager by setting: import torch._dynamo torch._dynamo.config.suppress_errors = True
Prompt executed in 170.13 seconds`
