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发表于 2021-12-21 22:43:10
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请问一下这是怎么回事啊？
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启动中. 按回车键停止训练并保存进度。
保存时间|迭代次数|单次时间|SRC损失|DST损失
Error: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape[8,128,128,128] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node DepthToSpace_12 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\ops\__init__.py:340) ]]
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.
[[concat_5/concat/_465]]
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.
(1) Resource exhausted: OOM when allocating tensor with shape[8,128,128,128] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node DepthToSpace_12 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\ops\__init__.py:340) ]]
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.
0 successful operations.
0 derived errors ignored.
Errors may have originated from an input operation.
Input Source operations connected to node DepthToSpace_12:
LeakyRelu_29 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:65)
Input Source operations connected to node DepthToSpace_12:
LeakyRelu_29 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:65)
Original stack trace for 'DepthToSpace_12':
File "threading.py", line 884, in _bootstrap
File "threading.py", line 916, in _bootstrap_inner
File "threading.py", line 864, in run
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\mainscripts\Trainer.py", line 63, in trainerThread
debug=debug)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\ModelBase.py", line 199, in __init__
self.on_initialize()
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 398, in on_initialize
gpu_pred_dst_dst, gpu_pred_dst_dstm = self.decoder_dst(gpu_dst_code)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
return self.forward(*args, **kwargs)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 218, in forward
x = self.upscale2(x)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
return self.forward(*args, **kwargs)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 66, in forward
x = nn.depth_to_space(x, 2)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\ops\__init__.py", line 340, in depth_to_space
return tf.depth_to_space(x, size, data_format=nn.data_format)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\array_ops.py", line 3913, in depth_to_space
return gen_array_ops.depth_to_space(input, block_size, data_format, name=name)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1636, in depth_to_space
data_format=data_format, name=name)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 750, in _apply_op_helper
attrs=attr_protos, op_def=op_def)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3536, in _create_op_internal
op_def=op_def)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 1990, in __init__
self._traceback = tf_stack.extract_stack()
Traceback (most recent call last):
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1375, in _do_call
return fn(*args)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1360, in _run_fn
target_list, run_metadata)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1453, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape[8,128,128,128] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node DepthToSpace_12}}]]
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.
[[concat_5/concat/_465]]
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.
(1) Resource exhausted: OOM when allocating tensor with shape[8,128,128,128] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node DepthToSpace_12}}]]
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.
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\mainscripts\Trainer.py", line 141, in trainerThread
iter, iter_time = model.train_one_iter()
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\ModelBase.py", line 480, in train_one_iter
losses = self.onTrainOneIter()
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 774, in onTrainOneIter
src_loss, dst_loss = self.src_dst_train (warped_src, target_src, target_srcm, target_srcm_em, warped_dst, target_dst, target_dstm, target_dstm_em)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 580, in src_dst_train
self.target_dstm_em:target_dstm_em,
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 968, in run
run_metadata_ptr)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1191, in _run
feed_dict_tensor, options, run_metadata)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1369, in _do_run
run_metadata)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1394, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape[8,128,128,128] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node DepthToSpace_12 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\ops\__init__.py:340) ]]
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.
[[concat_5/concat/_465]]
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.
(1) Resource exhausted: OOM when allocating tensor with shape[8,128,128,128] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node DepthToSpace_12 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\ops\__init__.py:340) ]]
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.
0 successful operations.
0 derived errors ignored.
Errors may have originated from an input operation.
Input Source operations connected to node DepthToSpace_12:
LeakyRelu_29 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:65)
Input Source operations connected to node DepthToSpace_12:
LeakyRelu_29 (defined at D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:65)
Original stack trace for 'DepthToSpace_12':
File "threading.py", line 884, in _bootstrap
File "threading.py", line 916, in _bootstrap_inner
File "threading.py", line 864, in run
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\mainscripts\Trainer.py", line 63, in trainerThread
debug=debug)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\ModelBase.py", line 199, in __init__
self.on_initialize()
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 398, in on_initialize
gpu_pred_dst_dst, gpu_pred_dst_dstm = self.decoder_dst(gpu_dst_code)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
return self.forward(*args, **kwargs)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 218, in forward
x = self.upscale2(x)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
return self.forward(*args, **kwargs)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 66, in forward
x = nn.depth_to_space(x, 2)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\DeepFaceLab\core\leras\ops\__init__.py", line 340, in depth_to_space
return tf.depth_to_space(x, size, data_format=nn.data_format)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\array_ops.py", line 3913, in depth_to_space
return gen_array_ops.depth_to_space(input, block_size, data_format, name=name)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1636, in depth_to_space
data_format=data_format, name=name)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 750, in _apply_op_helper
attrs=attr_protos, op_def=op_def)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3536, in _create_op_internal
op_def=op_def)
File "D:\BaiduNetdiskDownload\0906-RTX30\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 1990, in __init__
self._traceback = tf_stack.extract_stack()
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