muradbozik / audio-style-transfer Goto Github PK

python ./train.py --awv_path data/a.wav --bwv_path data/b.wav
C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\torchaudio\functional\functional.py:576: UserWarning: At least one mel filterbank has all zero values. The value for `n_mels` (192) may be set too high. Or, the value for `n_freqs` (201) may be set too low.
  warnings.warn(
(0,)
(0,)
2023-03-16 19:54:02.447614: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\train.py", line 123, in <module>
    dsa = tf.data.Dataset.from_tensor_slices(adata).repeat(50).map(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2296, in map
    return ParallelMapDataset(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 5540, in __init__
    self._map_func = structured_function.StructuredFunctionWrapper(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\structured_function.py", line 263, in __init__
    self._function = fn_factory()
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 226, in get_concrete_function
    concrete_function = self._get_concrete_function_garbage_collected(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 192, in _get_concrete_function_garbage_collected
    concrete_function, _ = self._maybe_define_concrete_function(args, kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 157, in _maybe_define_concrete_function
    return self._maybe_define_function(args, kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 360, in _maybe_define_function
    concrete_function = self._create_concrete_function(args, kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 284, in _create_concrete_function
    func_graph_module.func_graph_from_py_func(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\framework\func_graph.py", line 1283, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\structured_function.py", line 240, in wrapped_fn
    ret = wrapper_helper(*args)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\structured_function.py", line 171, in wrapper_helper
    ret = autograph.tf_convert(self._func, ag_ctx)(*nested_args)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "C:\Users\Thiago\AppData\Local\Temp\__autograph_generated_fileifemiofl.py", line 12, in tf__proc
    retval_ = ag__.converted_call(ag__.ld(tf).image.random_crop, (ag__.ld(x),), dict(size=[ag__.ld(args).hop, 3 * ag__.ld(args).shape, 1]), fscope)
ValueError: in user code:

    File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\train.py", line 120, in proc  *
        return tf.image.random_crop(x, size=[args.hop, 3 * args.shape, 1])

    ValueError: Dimensions must be equal, but are 0 and 3 for '{{node random_crop/GreaterEqual}} = GreaterEqual[T=DT_INT32](random_crop/Shape, random_crop/size)' with input shapes: [0], [3].


(sandbox) C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main>python ./train.py --awv_path data/a.wav --bwv_path data/b.wav
C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\torchaudio\functional\functional.py:576: UserWarning: At least one mel filterbank has all zero values. The value for `n_mels` (192) may be set too high. Or, the value for `n_freqs` (201) may be set too low.
  warnings.warn(
(0,)
(0,)
2023-03-16 19:56:56.835864: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\train.py", line 123, in <module>
    dsa = tf.data.Dataset.from_tensor_slices(adata).repeat(50).map(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2296, in map
    return ParallelMapDataset(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 5540, in __init__
    self._map_func = structured_function.StructuredFunctionWrapper(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\structured_function.py", line 263, in __init__
    self._function = fn_factory()
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 226, in get_concrete_function
    concrete_function = self._get_concrete_function_garbage_collected(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 192, in _get_concrete_function_garbage_collected
    concrete_function, _ = self._maybe_define_concrete_function(args, kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 157, in _maybe_define_concrete_function
    return self._maybe_define_function(args, kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 360, in _maybe_define_function
    concrete_function = self._create_concrete_function(args, kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\eager\polymorphic_function\tracing_compiler.py", line 284, in _create_concrete_function
    func_graph_module.func_graph_from_py_func(
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\framework\func_graph.py", line 1283, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\structured_function.py", line 240, in wrapped_fn
    ret = wrapper_helper(*args)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\data\ops\structured_function.py", line 171, in wrapper_helper
    ret = autograph.tf_convert(self._func, ag_ctx)(*nested_args)
  File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\sandbox\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "C:\Users\Thiago\AppData\Local\Temp\__autograph_generated_file1zgfb1z3.py", line 12, in tf__proc
    retval_ = ag__.converted_call(ag__.ld(tf).image.random_crop, (ag__.ld(x),), dict(size=[ag__.ld(args).hop, 3 * ag__.ld(args).shape, 1]), fscope)
ValueError: in user code:

    File "C:\Users\Thiago\Downloads\audio-style-transfer-main\audio-style-transfer-main\train.py", line 120, in proc  *
        return tf.image.random_crop(x, size=[args.hop, 3 * args.shape, 1])

    ValueError: Dimensions must be equal, but are 0 and 3 for '{{node random_crop/GreaterEqual}} = GreaterEqual[T=DT_INT32](random_crop/Shape, random_crop/size)' with input shapes: [0], [3].