return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict, tensorflow.python.framework.errors_impl.UnimplementedError: 2 root error(s) found.
wccccp opened this issue · comments
- I didn't find a similar issue already open.
- I read the documentation (README AND Wiki)
- I have installed FFMpeg
- My problem is related to Spleeter only, not a derivative product (such as Webapplication, or GUI provided by others)
Description
(spleeter) wangchenpeng@beta88:/mnt1/wcp/ved/spleet/spleeter-master$ spleeter separate -p spleeter:2stems -o output audio_example.mp3
Traceback (most recent call last):
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 1377, in _do_call
return fn(*args)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 1360, in _run_fn
return self._call_tf_sessionrun(options, feed_dict, fetch_list,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 1453, in _call_tf_sessionrun
return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
tensorflow.python.framework.errors_impl.UnimplementedError: 2 root error(s) found.
(0) UNIMPLEMENTED: DNN library is not found.
[[{{node conv2d/Conv2D}}]]
[[strided_slice_23/_907]]
(1) UNIMPLEMENTED: DNN library is not found.
[[{{node conv2d/Conv2D}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/wangchenpeng/miniconda3/envs/spleeter/bin/spleeter", line 6, in
sys.exit(entrypoint())
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 267, in entrypoint
spleeter()
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 214, in call
return get_command(self)(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 829, in call
return self.main(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 497, in wrapper
return callback(**use_params) # type: ignore
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 141, in separate
separator.separate_to_file(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 297, in separate_to_file
sources = self.separate(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 241, in separate
return self._separate_tensorflow(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 221, in _separate_tensorflow
prediction = next(prediction_generator)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 642, in predict
preds_evaluated = mon_sess.run(predictions)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/training/monitored_session.py", line 782, in run
return self._sess.run(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/training/monitored_session.py", line 1311, in run
return self._sess.run(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/training/monitored_session.py", line 1416, in run
raise six.reraise(*original_exc_info)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/six.py", line 719, in reraise
raise value
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/training/monitored_session.py", line 1401, in run
return self._sess.run(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/training/monitored_session.py", line 1469, in run
outputs = _WrappedSession.run(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/training/monitored_session.py", line 1232, in run
return self._sess.run(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 967, in run
result = self._run(None, fetches, feed_dict, options_ptr,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 1190, in _run
results = self._do_run(handle, final_targets, final_fetches,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 1370, in _do_run
return self._do_call(_run_fn, feeds, fetches, targets, options,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/client/session.py", line 1396, in _do_call
raise type(e)(node_def, op, message) # pylint: disable=no-value-for-parameter
tensorflow.python.framework.errors_impl.UnimplementedError: Graph execution error:
Detected at node 'conv2d/Conv2D' defined at (most recent call last):
File "/home/wangchenpeng/miniconda3/envs/spleeter/bin/spleeter", line 6, in
sys.exit(entrypoint())
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 267, in entrypoint
spleeter()
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 214, in call
return get_command(self)(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 829, in call
return self.main(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 497, in wrapper
return callback(**use_params) # type: ignore
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 141, in separate
separator.separate_to_file(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 297, in separate_to_file
sources = self.separate(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 241, in separate
return self._separate_tensorflow(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 221, in _separate_tensorflow
prediction = next(prediction_generator)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 623, in predict
estimator_spec = self._call_model_fn(features, None, ModeKeys.PREDICT,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1174, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 580, in model_fn
return builder.build_predict_model()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 525, in build_predict_model
tf.estimator.ModeKeys.PREDICT, predictions=self.outputs
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 293, in outputs
self._build_outputs()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 507, in _build_outputs
self._outputs = self._build_output_waveform(self.masked_stfts)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 317, in masked_stfts
self._build_masked_stfts()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 462, in _build_masked_stfts
for instrument, mask in self.masks.items():
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 311, in masks
self._build_masks()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 429, in _build_masks
output_dict = self.model_outputs
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 287, in model_outputs
self._build_model_outputs()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 180, in _build_model_outputs
self._model_outputs = apply_model(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/unet.py", line 203, in unet
return apply(apply_unet, input_tensor, instruments, params)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/init.py", line 45, in apply
output_dict[out_name] = function(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/unet.py", line 115, in apply_unet
conv1 = conv2d_factory(conv_n_filters[0], (5, 5))(input_tensor)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/engine/base_layer_v1.py", line 763, in call
outputs = call_fn(cast_inputs, *args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/layers/convolutional/base_conv.py", line 250, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/layers/convolutional/base_conv.py", line 225, in convolution_op
return tf.nn.convolution(
Node: 'conv2d/Conv2D'
Detected at node 'conv2d/Conv2D' defined at (most recent call last):
File "/home/wangchenpeng/miniconda3/envs/spleeter/bin/spleeter", line 6, in
sys.exit(entrypoint())
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 267, in entrypoint
spleeter()
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 214, in call
return get_command(self)(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 829, in call
return self.main(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 497, in wrapper
return callback(**use_params) # type: ignore
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 141, in separate
separator.separate_to_file(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 297, in separate_to_file
sources = self.separate(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 241, in separate
return self._separate_tensorflow(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 221, in _separate_tensorflow
prediction = next(prediction_generator)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 623, in predict
estimator_spec = self._call_model_fn(features, None, ModeKeys.PREDICT,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1174, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 580, in model_fn
return builder.build_predict_model()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 525, in build_predict_model
tf.estimator.ModeKeys.PREDICT, predictions=self.outputs
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 293, in outputs
self._build_outputs()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 507, in _build_outputs
self._outputs = self._build_output_waveform(self.masked_stfts)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 317, in masked_stfts
self._build_masked_stfts()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 462, in _build_masked_stfts
for instrument, mask in self.masks.items():
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 311, in masks
self._build_masks()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 429, in _build_masks
output_dict = self.model_outputs
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 287, in model_outputs
self._build_model_outputs()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 180, in _build_model_outputs
self._model_outputs = apply_model(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/unet.py", line 203, in unet
return apply(apply_unet, input_tensor, instruments, params)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/init.py", line 45, in apply
output_dict[out_name] = function(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/unet.py", line 115, in apply_unet
conv1 = conv2d_factory(conv_n_filters[0], (5, 5))(input_tensor)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/engine/base_layer_v1.py", line 763, in call
outputs = call_fn(cast_inputs, *args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/layers/convolutional/base_conv.py", line 250, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/layers/convolutional/base_conv.py", line 225, in convolution_op
return tf.nn.convolution(
Node: 'conv2d/Conv2D'
2 root error(s) found.
(0) UNIMPLEMENTED: DNN library is not found.
[[{{node conv2d/Conv2D}}]]
[[strided_slice_23/_907]]
(1) UNIMPLEMENTED: DNN library is not found.
[[{{node conv2d/Conv2D}}]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'conv2d/Conv2D':
File "/home/wangchenpeng/miniconda3/envs/spleeter/bin/spleeter", line 6, in
sys.exit(entrypoint())
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 267, in entrypoint
spleeter()
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 214, in call
return get_command(self)(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 829, in call
return self.main(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/typer/main.py", line 497, in wrapper
return callback(**use_params) # type: ignore
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/main.py", line 141, in separate
separator.separate_to_file(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 297, in separate_to_file
sources = self.separate(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 241, in separate
return self._separate_tensorflow(waveform, audio_descriptor)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/separator.py", line 221, in _separate_tensorflow
prediction = next(prediction_generator)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 623, in predict
estimator_spec = self._call_model_fn(features, None, ModeKeys.PREDICT,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1174, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 580, in model_fn
return builder.build_predict_model()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 525, in build_predict_model
tf.estimator.ModeKeys.PREDICT, predictions=self.outputs
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 293, in outputs
self._build_outputs()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 507, in _build_outputs
self._outputs = self._build_output_waveform(self.masked_stfts)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 317, in masked_stfts
self._build_masked_stfts()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 462, in _build_masked_stfts
for instrument, mask in self.masks.items():
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 311, in masks
self._build_masks()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 429, in _build_masks
output_dict = self.model_outputs
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 287, in model_outputs
self._build_model_outputs()
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/init.py", line 180, in _build_model_outputs
self._model_outputs = apply_model(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/unet.py", line 203, in unet
return apply(apply_unet, input_tensor, instruments, params)
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/init.py", line 45, in apply
output_dict[out_name] = function(
File "/mnt1/wcp/ved/spleet/spleeter-master/spleeter/model/functions/unet.py", line 115, in apply_unet
conv1 = conv2d_factory(conv_n_filters[0], (5, 5))(input_tensor)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/engine/base_layer_v1.py", line 763, in call
outputs = call_fn(cast_inputs, *args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/layers/convolutional/base_conv.py", line 250, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/keras/layers/convolutional/base_conv.py", line 225, in convolution_op
return tf.nn.convolution(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/util/traceback_utils.py", line 150, in error_handler
return fn(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/util/dispatch.py", line 1082, in op_dispatch_handler
return dispatch_target(*args, **kwargs)
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/ops/nn_ops.py", line 1150, in convolution_v2
return convolution_internal(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/ops/nn_ops.py", line 1282, in convolution_internal
return op(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/ops/nn_ops.py", line 2756, in _conv2d_expanded_batch
return gen_nn_ops.conv2d(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 969, in conv2d
_, _, _op, _outputs = _op_def_library._apply_op_helper(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/framework/op_def_library.py", line 797, in _apply_op_helper
op = g._create_op_internal(op_type_name, inputs, dtypes=None,
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 3754, in _create_op_internal
ret = Operation(
File "/home/wangchenpeng/miniconda3/envs/spleeter/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 2133, in init
self._traceback = tf_stack.extract_stack_for_node(self._c_op)
When I use separate vocals and background music, I executed the following command
spleeter separate -p spleeter:2stems -o output audio_example.mp3
Step to reproduce
- Installed using
... - Run as
... - Got
...error
Output
Share what your terminal says when you run the script (as well as what you would expect).Environment
absl-py 1.4.0
anyio 3.6.2
asttokens 2.2.1
astunparse 1.6.3
attrs 22.2.0
audioread 3.0.0
backcall 0.2.0
backports.functools-lru-cache 1.6.5
black 21.12b0
build 0.10.0
CacheControl 0.12.14
cachetools 5.3.0
certifi 2022.12.7
cffi 1.15.1
charset-normalizer 3.0.1
cleo 2.0.1
click 7.1.2
crashtest 0.4.1
cryptography 41.0.1
debugpy 1.5.1
decorator 5.1.1
distlib 0.3.6
dulwich 0.21.5
entrypoints 0.4
exceptiongroup 1.1.2
executing 1.2.0
ffmpeg-python 0.2.0
filelock 3.12.2
flake8 5.0.4
flatbuffers 1.12
future 0.18.3
gast 0.4.0
google-auth 2.16.1
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
grpcio 1.51.1
h11 0.12.0
h2 4.1.0
h5py 3.8.0
hpack 4.0.0
html5lib 1.1
httpcore 0.13.7
httpx 0.19.0
hyperframe 6.0.1
idna 3.4
importlib-metadata 6.7.0
iniconfig 2.0.0
installer 0.7.0
ipykernel 6.15.0
ipython 8.14.0
isort 5.11.5
jaraco.classes 3.2.3
jax 0.4.13
jedi 0.18.2
jeepney 0.8.0
joblib 1.3.1
jsonschema 4.17.3
jupyter-client 7.0.6
jupyter_core 5.3.1
keras 2.9.0
Keras-Preprocessing 1.1.2
keyring 23.13.1
libclang 15.0.6.1
librosa 0.8.1
llvmlite 0.38.1
lockfile 0.12.2
Markdown 3.3.4
MarkupSafe 2.1.2
matplotlib-inline 0.1.6
mccabe 0.7.0
ml-dtypes 0.2.0
more-itertools 9.1.0
msgpack 1.0.5
musdb 0.4.0
museval 0.4.0
mypy 0.790
mypy-extensions 0.4.4
nest-asyncio 1.5.6
norbert 0.2.1
numba 0.55.2
numpy 1.21.6
oauthlib 3.2.2
opt-einsum 3.3.0
packaging 23.0
pandas 1.3.5
parso 0.8.3
pathspec 0.11.0
pexpect 4.8.0
pickleshare 0.7.5
pip 23.1.2
pkginfo 1.9.6
platformdirs 3.0.0
pluggy 1.0.0
poetry 1.5.1
poetry-core 1.6.1
poetry-plugin-export 1.4.0
pooch 1.7.0
prompt-toolkit 3.0.38
protobuf 3.19.6
psutil 5.9.0
ptyprocess 0.7.0
pure-eval 0.2.2
py 1.11.0
pyaml 21.10.1
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycodestyle 2.9.1
pycparser 2.21
pyflakes 2.5.0
Pygments 2.15.1
pyproject_hooks 1.0.0
pyrsistent 0.19.3
pytest 6.2.5
pytest-forked 1.6.0
python-dateutil 2.8.2
pytz 2022.7.1
PyYAML 6.0
pyzmq 19.0.2
rapidfuzz 2.15.1
requests 2.28.2
requests-oauthlib 1.3.1
requests-toolbelt 1.0.0
resampy 0.4.2
rfc3986 1.5.0
rsa 4.9
scikit-learn 1.3.0
scipy 1.7.3
SecretStorage 3.3.3
setuptools 67.3.2
shellingham 1.5.0.post1
simplejson 3.18.3
six 1.16.0
sniffio 1.3.0
soundfile 0.12.1
spleeter 2.4.0 /mnt1/wcp/ved/spleet/spleeter-master
stack-data 0.6.2
stempeg 0.2.3
tensorboard 2.9.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.9.3
tensorflow-estimator 2.9.0
tensorflow-io-gcs-filesystem 0.30.0
termcolor 2.2.0
threadpoolctl 3.1.0
toml 0.10.2
tomli 1.2.3
tomlkit 0.11.8
tornado 6.1
tqdm 4.64.1
traitlets 5.9.0
trove-classifiers 2023.5.24
typed-ast 1.4.3
typer 0.3.2
typing_extensions 4.5.0
urllib3 1.26.14
virtualenv 20.23.1
wcwidth 0.2.6
webencodings 0.5.1
Werkzeug 2.2.3
wheel 0.38.4
wrapt 1.14.1
zipp 3.15.0
| OS | Windows / Linux / MacOS / other |
| Installation type | Conda / pip / other |
| RAM available | XGo |
| Hardware spec | GPU / CPU / etc ... |
| 3090 |