Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode. 0 successful operations. 0 derived errors ignored.

[How-to-say]

Traceback (most recent call last):
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\client\session.py", line 1377, in _do_call
return fn(*args)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\client\session.py", line 1360, in _run_fn
return self._call_tf_sessionrun(options, feed_dict, fetch_list,
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\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.ResourceExhaustedError: 2 root error(s) found.
(0) RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[25,16,256,512] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{function_node batch_normalization_12_cond_false_1982}}{{node FusedBatchNormV3}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
[[strided_slice_15/_905]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
(1) RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[25,16,256,512] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{function_node batch_normalization_12_cond_false_1982}}{{node FusedBatchNormV3}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "runpy.py", line 196, in run_module_as_main
File "runpy.py", line 86, in run_code
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\spleeter_main.py", line 273, in
entrypoint()
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\spleeter_main.py", line 267, in entrypoint
spleeter()
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\typer\main.py", line 214, in call
return get_command(self)(*args, **kwargs)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\click\core.py", line 829, in call
return self.main(*args, **kwargs)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\click\core.py", line 782, in main
rv = self.invoke(ctx)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\click\core.py", line 1259, in invoke
return process_result(sub_ctx.command.invoke(sub_ctx))
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\click\core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\click\core.py", line 610, in invoke
return callback(*args, **kwargs)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\typer\main.py", line 497, in wrapper
return callback(**use_params) # type: ignore
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\spleeter_main.py", line 141, in separate
separator.separate_to_file(
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\spleeter\separator.py", line 297, in separate_to_file
sources = self.separate(waveform, audio_descriptor)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\spleeter\separator.py", line 241, in separate
return self._separate_tensorflow(waveform, audio_descriptor)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\spleeter\separator.py", line 221, in _separate_tensorflow
prediction = next(prediction_generator)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow_estimator\python\estimator\estimator.py", line 642, in predict
preds_evaluated = mon_sess.run(predictions)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\training\monitored_session.py", line 782, in run
return self._sess.run(
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\training\monitored_session.py", line 1311, in run
return self._sess.run(
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\training\monitored_session.py", line 1416, in run
raise six.reraise(*original_exc_info)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\six.py", line 719, in reraise
raise value
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\training\monitored_session.py", line 1401, in run
return self._sess.run(*args, **kwargs)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\training\monitored_session.py", line 1469, in run
outputs = _WrappedSession.run(
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\training\monitored_session.py", line 1232, in run
return self._sess.run(*args, **kwargs)
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\client\session.py", line 967, in run
result = self._run(None, fetches, feed_dict, options_ptr,
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\client\session.py", line 1190, in _run
results = self._do_run(handle, final_targets, final_fetches,
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\tensorflow\python\client\session.py", line 1370, in _do_run
return self._do_call(_run_fn, feeds, fetches, targets, options,
File "C:\Users\WYJ\Desktop\SpleeterGUI_2.9.5\SpleeterGUI\python\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.ResourceExhaustedError: Graph execution error:
2 root error(s) found.
(0) RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[25,16,256,512] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node FusedBatchNormV3}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
[[strided_slice_15/_905]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
(1) RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[25,16,256,512] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node FusedBatchNormV3}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
0 successful operations.
0 derived errors ignored.