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microsoft / muzic

Muzic: Music Understanding and Generation with Artificial Intelligence
MIT License
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【Musecoco CausalDotProduct.dot none type】 #185

Open Wangrui025 opened 9 months ago

Wangrui025 commented 9 months ago

attribute2music stage. I have download the attribute2music.pt checkpoint model from google drive. However when run bash interactive_1billion.sh 0 200 the following ERROR was reported: Traceback (most recent call last): File "interactive_dict_v5_1billion.py", line 428, in cli_main() File "interactive_dict_v5_1billion.py", line 418, in cli_main attributes(args) File "interactive_dict_v5_1billion.py", line 347, in attributes translations = task.inference_step( File "/opt/miniconda3/envs/MuseCoco/lib/python3.8/site-packages/fairseq/tasks/language_modeling.py", line 313, in inference_step return generator.generate( File "/opt/miniconda3/envs/MuseCoco/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(args, kwargs) File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/command_seq_generator.py", line 179, in generate return self._generate(sample, kwargs) File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/command_seq_generator.py", line 315, in _generate lprobs, avg_attn_scores = self.model.forward_decoder( File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/command_seq_generator.py", line 837, in forward_decoder decoder_out = model.decoder.forward(tokens, sep_pos, encoder_out=encoder_out) File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/transformer.py", line 193, in forward x, extra = self.extract_features( File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/transformer.py", line 216, in extract_features return self.extract_features_scriptable( File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/transformer.py", line 363, in extract_features_scriptable x, layerattn, = layer( File "/opt/miniconda3/envs/MuseCoco/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl return forward_call(input, kwargs) File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/transformer_layer.py", line 58, in forward x, attn = self.run_self_attn( File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/transformer_layer.py", line 117, in run_self_attn r = self.self_attn(query, query, query, attn_mask=None, key_padding_mask=key_padding_mask) File "/opt/miniconda3/envs/MuseCoco/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl return forward_call(*input, *kwargs) File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/attention_layer.py", line 114, in forward new_values = self.inner_attention( File "/opt/miniconda3/envs/MuseCoco/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl return forward_call(input, kwargs) File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/causal_linear_attention.py", line 70, in forward V = causal_linear( File "/workspace/music_gen/musecoco/2-attribute2music_model/linear_mask/linear/causal_linear_attention.py", line 23, in causal_linear V_new = causal_dot_product(Q, K, V) File "/opt/miniconda3/envs/MuseCoco/lib/python3.8/site-packages/fast_transformers/causal_product/init.py", line 43, in forward CausalDotProduct.dot[device.type]( TypeError: 'NoneType' object is not callable

shwj114514 commented 9 months ago

This is an issue with the library pytorch-fast-transformers because you haven't compiled the CUDA operators.

You need to clone it from https://github.com/idiap/fast-transformers.git and then install it manually using pip install . This process will compile the .cpp and .cu files.

My CUDA version is 12.2 and I installed the latest torch version (2.1.2+cu121) and replaced setup.py with an absolute path. 

@lru_cache(None)
def cuda_toolkit_available():
    try:
        call(["/usr/local/cuda-12.2/bin/nvcc"], stdout=DEVNULL, stderr=DEVNULL) 
        return True

After making these changes, the installation was successful.