S709870983 2023-01-09 21:30 采纳率: 100%
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已结题

MAC M1芯片tensorflow下的fit报错Graph execution error:

Mac M1Pro芯片,在找TB30元解决了下载安装问题之后,import tensorflow可以正常运行,但是在keras库下,

出现错误代码如下:


history = ann.fit(X_train, y_train, # 指定训练集
                  epochs=30,        # 指定训练的轮次
                  batch_size=64,    # 指定数据批量
                  validation_data=(X_test, y_test)) #指定验证集,这里为了简化模型,直接用测试集数据进行验证

报错 信息:


Epoch 1/30
2023-01-09 21:09:03.019104: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:114] Plugin optimizer for device_type GPU is enabled.
2023-01-09 21:09:04.182418: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x153714350
2023-01-09 21:09:04.182452: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x153714350
2023-01-09 21:09:04.529939: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x153714350
2023-01-09 21:09:04.529967: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x153714350
2023-01-09 21:09:04.617016: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x153714350
2023-01-09 21:09:04.617046: W tensorflow/core/framework/op_kernel.cc:1830] OP_REQUIRES failed at xla_ops.cc:418 : NOT_FOUND: could not find registered platform with id: 0x153714350
---------------------------------------------------------------------------
NotFoundError                             Traceback (most recent call last)
Cell In[17], line 1
----> 1 history = ann.fit(X_train, y_train, # 指定训练集
      2                   epochs=30,        # 指定训练的轮次
      3                   batch_size=64,    # 指定数据批量
      4                   validation_data=(X_test, y_test))

File ~/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/utils/traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs)
     67     filtered_tb = _process_traceback_frames(e.__traceback__)
     68     # To get the full stack trace, call:
     69     # `tf.debugging.disable_traceback_filtering()`
---> 70     raise e.with_traceback(filtered_tb) from None
     71 finally:
     72     del filtered_tb

File ~/opt/anaconda3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/execute.py:52, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     50 try:
     51   ctx.ensure_initialized()
---> 52   tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     53                                       inputs, attrs, num_outputs)
     54 except core._NotOkStatusException as e:
     55   if name is not None:

NotFoundError: Graph execution error:

Detected at node 'StatefulPartitionedCall_4' defined at (most recent call last):
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/runpy.py", line 197, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/runpy.py", line 87, in _run_code
      exec(code, run_globals)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel_launcher.py", line 17, in <module>
      app.launch_new_instance()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/traitlets/config/application.py", line 992, in launch_instance
      app.start()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/kernelapp.py", line 711, in start
      self.io_loop.start()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/tornado/platform/asyncio.py", line 215, in start
      self.asyncio_loop.run_forever()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/asyncio/base_events.py", line 601, in run_forever
      self._run_once()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/asyncio/base_events.py", line 1905, in _run_once
      handle._run()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/asyncio/events.py", line 80, in _run
      self._context.run(self._callback, *self._args)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 510, in dispatch_queue
      await self.process_one()
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 499, in process_one
      await dispatch(*args)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 406, in dispatch_shell
      await result
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 729, in execute_request
      reply_content = await reply_content
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/ipkernel.py", line 411, in do_execute
      res = shell.run_cell(
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/ipykernel/zmqshell.py", line 531, in run_cell
      return super().run_cell(*args, **kwargs)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2940, in run_cell
      result = self._run_cell(
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2995, in _run_cell
      return runner(coro)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/IPython/core/async_helpers.py", line 129, in _pseudo_sync_runner
      coro.send(None)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3194, in run_cell_async
      has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3373, in run_ast_nodes
      if await self.run_code(code, result, async_=asy):
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3433, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "/var/folders/9s/w9b7v1sj66d3j12lzwmm59xr0000gn/T/ipykernel_64050/3685881096.py", line 1, in <module>
      history = ann.fit(X_train, y_train, # 指定训练集
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1650, in fit
      tmp_logs = self.train_function(iterator)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1249, in train_function
      return step_function(self, iterator)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1233, in step_function
      outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1222, in run_step
      outputs = model.train_step(data)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1027, in train_step
      self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 527, in minimize
      self.apply_gradients(grads_and_vars)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1140, in apply_gradients
      return super().apply_gradients(grads_and_vars, name=name)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 634, in apply_gradients
      iteration = self._internal_apply_gradients(grads_and_vars)
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1166, in _internal_apply_gradients
      return tf.__internal__.distribute.interim.maybe_merge_call(
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1216, in _distributed_apply_gradients_fn
      distribution.extended.update(
    File "/Users/atongmu/opt/anaconda3/envs/tf/lib/python3.9/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1211, in apply_grad_to_update_var
      return self._update_step_xla(grad, var, id(self._var_key(var)))
Node: 'StatefulPartitionedCall_4'
could not find registered platform with id: 0x153714350
     [[{{node StatefulPartitionedCall_4}}]] [Op:__inference_train_function_1200]

望有人能帮忙解决!不胜感激!

  • 写回答

5条回答 默认 最新

  • Ko-walski 2023-01-09 22:24
    关注

    版本不匹配要降级
    pip install tensorflow-metal==0.5.0
    pip install tensorflow-macos==2.9.0

    本回答被题主选为最佳回答 , 对您是否有帮助呢?
    评论
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  • 系统已结题 1月18日
  • 已采纳回答 1月10日
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