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这是什么原因，求大神指教

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deer18

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 楼主| 发表于 2022-9-20 11:01:24 | 显示全部楼层 |阅读模式
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本帖最后由 deer18 于 2022-9-20 15:51 编辑

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[6,256,56,56] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node LeakyRelu_50 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29) ]]
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.

         [[concat_18/concat/_1319]]
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[6,256,56,56] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node LeakyRelu_50 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29) ]]
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.

Errors may have originated from an input operation.
Input Source operations connected to node LeakyRelu_50:
Add_81 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:107)

Input Source operations connected to node LeakyRelu_50:
Add_81 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:107)

Original stack trace for 'LeakyRelu_50':
  File "threading.py", line 884, in _bootstrap
  File "threading.py", line 916, in _bootstrap_inner
  File "threading.py", line 864, in run
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\mainscripts\Trainer.py", line 58, in trainerThread
    debug=debug)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\ModelBase.py", line 199, in __init__
    self.on_initialize()
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 425, in on_initialize
    gpu_pred_dst_dst, gpu_pred_dst_dstm = self.decoder(gpu_dst_code)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 246, in forward
    m = self.upscalem3(m)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 72, in forward
    x = act(x, 0.1)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 29, in act
    return tf.nn.leaky_relu(x, alpha)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper
    return target(*args, **kwargs)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 3621, in leaky_relu
    return gen_nn_ops.leaky_relu(features, alpha=alpha, name=name)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 5118, in leaky_relu
    "LeakyRelu", features=features, alpha=alpha, name=name)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_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 "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _create_op_internal
    op_def=op_def)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 2045, in __init__
    self._traceback = tf_stack.extract_stack_for_node(self._c_op)

Traceback (most recent call last):
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1375, in _do_call
    return fn(*args)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1360, in _run_fn
    target_list, run_metadata)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_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[6,256,56,56] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[{{node LeakyRelu_50}}]]
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.

         [[concat_18/concat/_1319]]
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[6,256,56,56] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[{{node LeakyRelu_50}}]]
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 "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\mainscripts\Trainer.py", line 131, in trainerThread
    iter, iter_time = model.train_one_iter()
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\ModelBase.py", line 480, in train_one_iter
    losses = self.onTrainOneIter()
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_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 "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 584, in src_dst_train
    self.target_dstm_em:target_dstm_em,
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 968, in run
    run_metadata_ptr)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1191, in _run
    feed_dict_tensor, options, run_metadata)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1369, in _do_run
    run_metadata)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_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)  # pylint: disable=no-value-for-parameter
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
  (0) Resource exhausted: OOM when allocating tensor with shape[6,256,56,56] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node LeakyRelu_50 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29) ]]
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.

         [[concat_18/concat/_1319]]
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[6,256,56,56] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node LeakyRelu_50 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29) ]]
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.

Errors may have originated from an input operation.
Input Source operations connected to node LeakyRelu_50:
Add_81 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:107)

Input Source operations connected to node LeakyRelu_50:
Add_81 (defined at F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:107)

Original stack trace for 'LeakyRelu_50':
  File "threading.py", line 884, in _bootstrap
  File "threading.py", line 916, in _bootstrap_inner
  File "threading.py", line 864, in run
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\mainscripts\Trainer.py", line 58, in trainerThread
    debug=debug)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\ModelBase.py", line 199, in __init__
    self.on_initialize()
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 425, in on_initialize
    gpu_pred_dst_dst, gpu_pred_dst_dstm = self.decoder(gpu_dst_code)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 246, in forward
    m = self.upscalem3(m)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 72, in forward
    x = act(x, 0.1)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 29, in act
    return tf.nn.leaky_relu(x, alpha)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper
    return target(*args, **kwargs)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 3621, in leaky_relu
    return gen_nn_ops.leaky_relu(features, alpha=alpha, name=name)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py", line 5118, in leaky_relu
    "LeakyRelu", features=features, alpha=alpha, name=name)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_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 "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _create_op_internal
    op_def=op_def)
  File "F:\DFL\3060\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 2045, in __init__
    self._traceback = tf_stack.extract_stack_for_node(self._c_op)











==================== Model Summary ====================
==                                                   ==
==            Model name: new_SAEHD                  ==
==                                                   ==
==     Current iteration: 4714856                    ==
==                                                   ==
==------------------ Model Options ------------------==
==                                                   ==
==            resolution: 224                        ==
==             face_type: wf                         ==
==     models_opt_on_gpu: True                       ==
==                 archi: liae-udt                   ==
==               ae_dims: 512                        ==
==                e_dims: 64                         ==
==                d_dims: 64                         ==
==           d_mask_dims: 32                         ==
==       masked_training: True                       ==
==       eyes_mouth_prio: True                       ==
==           uniform_yaw: True                       ==
==         blur_out_mask: True                       ==
==             adabelief: True                       ==
==            lr_dropout: y                          ==
==           random_warp: False                      ==
==      random_hsv_power: 0.1                        ==
==       true_face_power: 0.0                        ==
==      face_style_power: 0.0                        ==
==        bg_style_power: 0.0                        ==
==               ct_mode: none                       ==
==              clipgrad: False                      ==
==              pretrain: False                      ==
==       autobackup_hour: 0                          ==
== write_preview_history: False                      ==
==           target_iter: 0                          ==
==       random_src_flip: False                      ==
==       random_dst_flip: True                       ==
==            batch_size: 6                          ==
==             gan_power: 0.1                        ==
==        gan_patch_size: 28                         ==
==              gan_dims: 32                         ==
==                                                   ==
==------------------- Running On --------------------==
==                                                   ==
==          Device index: 0                          ==
==                  Name: NVIDIA GeForce RTX 3080 Ti ==
==                  VRAM: 9.22GB                     ==






3060TI显卡  显存8G     坛主推荐的那个 迪丽热巴Liae万能模型  











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BigTom666

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发表于 2022-9-20 11:11:52 | 显示全部楼层
问任何问题前，学会先看教学贴
https://dfldata.xyz/forum.php?mo ... 29&extra=page=1
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denvor

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发表于 2022-9-20 11:33:00 | 显示全部楼层
一眼看见一个 OOM , out of memory , 显存不够啊。用的啥显卡，模型是啥，参数是啥，都不贴出来吗？
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真我风采勋章万事如意节日勋章
发表于 2022-9-20 16:26:26 | 显示全部楼层
3080T 10G跑的参数，你8G显卡能跑都出神了，自己不改低batch_size参数的吗？
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