AdamW does not load for tensorflow 2.11.0 #159

maerory · 2023-07-05T06:00:30Z

System information.
python version: 3.9.10
python branch:
python build version: ('main', 'Feb 23 2022 17:21:47')
python compiler version: GCC 4.8.5 20150623 (Red Hat 4.8.5-44)
python implementation: CPython
== compiler =====================================================
c++ (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
Copyright (C) 2015 Free Software Foundation, Inc.

tf.version.VERSION = 2.11.0
tf.version.GIT_VERSION = v2.11.0-rc2-17-gd5b57ca93e5
tf.version.COMPILER_VERSION = 9.3.1 20200408

Problem:
The AdamW optimizer will not load for tensorflow version 2.11.0.

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-21-633fecdb3a51> in <module>
      4 
      5 model = generate_model(df_sub)
----> 6 model.compile(loss=error, optimizer=optimizers.AdamW(learning_rate=0.01))
      7 
      8 model.summary()

AttributeError: module 'keras.api._v2.keras.optimizers' has no attribute 'AdamW'

The text was updated successfully, but these errors were encountered:

tilakrayal · 2023-07-06T13:48:33Z

@maerory,
Could you please provide the complete standalone code to reproduce the issue which helps us to analyse the issue in an effective way. Thank you!

hi-sushanta · 2023-07-08T15:53:45Z

Please update the latest version of Tensorflow 2.13 and then check if it's working or not.

maerory · 2023-07-10T01:23:39Z

@tilakrayal I do not possess all the rights to the original code so it might be a little difficult to share the whole code.

@hi-sushanta
I was managed to load AdamW with tensorflow 2.13.0. However, I am facing another graph execution error.

Epoch 1/100
---------------------------------------------------------------------------
FailedPreconditionError                   Traceback (most recent call last)
<ipython-input-12-2f04be9f29a8> in <module>
     12 ]
     13 
---> 14 history = model.fit(
     15     x=xt,
     16     y=yt,

/usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py in error_handler(*args, **kwargs)
     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

/usr/local/lib/python3.9/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     51   try:
     52     ctx.ensure_initialized()
---> 53     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     54                                         inputs, attrs, num_outputs)
     55   except core._NotOkStatusException as e:

FailedPreconditionError: Graph execution error:

Detected at node 'AdamW/StatefulPartitionedCall_5' defined at (most recent call last):
    File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code
      exec(code, run_globals)
    File "/usr/local/lib/python3.9/site-packages/ipykernel_launcher.py", line 16, in <module>
      app.launch_new_instance()
    File "/usr/local/lib/python3.9/site-packages/traitlets/config/application.py", line 846, in launch_instance
      app.start()
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelapp.py", line 619, in start
      self.io_loop.start()
    File "/usr/local/lib/python3.9/site-packages/tornado/platform/asyncio.py", line 199, in start
      self.asyncio_loop.run_forever()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 596, in run_forever
      self._run_once()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 1890, in _run_once
      handle._run()
    File "/usr/local/lib/python3.9/asyncio/events.py", line 80, in _run
      self._context.run(self._callback, *self._args)
    File "/usr/local/lib/python3.9/site-packages/tornado/ioloop.py", line 688, in <lambda>
      lambda f: self._run_callback(functools.partial(callback, future))
    File "/usr/local/lib/python3.9/site-packages/tornado/ioloop.py", line 741, in _run_callback
      ret = callback()
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 814, in inner
      self.ctx_run(self.run)
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 775, in run
      yielded = self.gen.send(value)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 358, in process_one
      yield gen.maybe_future(dispatch(*args))
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 234, in wrapper
      yielded = ctx_run(next, result)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 261, in dispatch_shell
      yield gen.maybe_future(handler(stream, idents, msg))
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 234, in wrapper
      yielded = ctx_run(next, result)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 536, in execute_request
      self.do_execute(
    File "/usr/local/lib/python3.9/site-packages/tornado/gen.py", line 234, in wrapper
      yielded = ctx_run(next, result)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/ipkernel.py", line 302, in do_execute
      res = shell.run_cell(code, store_history=store_history, silent=silent)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/zmqshell.py", line 539, in run_cell
      return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2914, in run_cell
      result = self._run_cell(
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 2960, in _run_cell
      return runner(coro)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/async_helpers.py", line 78, in _pseudo_sync_runner
      coro.send(None)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3185, in run_cell_async
      has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3377, in run_ast_nodes
      if (await self.run_code(code, result,  async_=asy)):
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3457, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "<ipython-input-12-2f04be9f29a8>", line 14, in <module>
      history = model.fit(
    File "/usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1742, in fit
      tmp_logs = self.train_function(iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1338, in train_function
      return step_function(self, iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1322, in step_function
      outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1303, in run_step
      outputs = model.train_step(data)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1084, in train_step
      self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 544, in minimize
      self.apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1230, in apply_gradients
      return super().apply_gradients(grads_and_vars, name=name)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 652, in apply_gradients
      iteration = self._internal_apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1260, in _internal_apply_gradients
      return tf.__internal__.distribute.interim.maybe_merge_call(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1352, in _distributed_apply_gradients_fn
      distribution.extended.update(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1347, in apply_grad_to_update_var
      return self._update_step_xla(grad, var, id(self._var_key(var)))
Node: 'AdamW/StatefulPartitionedCall_5'
DNN library initialization failed. Look at the errors above for more details.
	 [[{{node AdamW/StatefulPartitionedCall_5}}]] [Op:__inference_train_function_1694]

hi-sushanta · 2023-07-10T11:00:54Z

You try to restart runtime and then check if it's work or not.

maerory · 2023-07-11T04:06:18Z

@hi-sushanta
The error has been updated. Looks like my CuDNN for my GPU is an older version?

2023-07-11 13:04:06.437658: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fe5f401cbc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-07-11 13:04:06.437714: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA Tesla T4, Compute Capability 7.5
2023-07-11 13:04:06.445343: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-07-11 13:04:07.427286: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.429623: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.444968: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.446482: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.460456: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.461876: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.475345: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.476726: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.491007: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.492400: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
2023-07-11 13:04:07.506442: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:425] Loaded runtime CuDNN library: 8.1.1 but source was compiled with: 8.6.0.  CuDNN library needs to have matching major version and equal or higher minor version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
2023-07-11 13:04:07.507826: W tensorflow/core/framework/op_kernel.cc:1828] OP_REQUIRES failed at xla_ops.cc:503 : FAILED_PRECONDITION: DNN library initialization failed. Look at the errors above for more details.
---------------------------------------------------------------------------
FailedPreconditionError                   Traceback (most recent call last)
Cell In[14], line 14
      1 LR_SCHEDULE = [
      2     (10, 0.005),
      3     (20, 0.001),
      4     (30, 0.0005),
      5     (50, 0.00001)
      6 ]
      8 callbacks = [
      9 #     tf.keras.callbacks.ReduceLROnPlateau(monitor='val_loss', min_lr=1e-6),
     10     tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=20),
     11     CustomLRScheduler(lr_schedule),
     12 ]
---> 14 history = model.fit(
     15     x=xt,
     16     y=yt,
     17     batch_size=1200,
     18     epochs=100,
     19     verbose=1,
     20     callbacks=CustomLRScheduler(lr_schedule),
     21     validation_data=(xT, yT)).history
     24 pd.DataFrame(history)[['loss', 'val_loss']][2:].plot()

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

FailedPreconditionError: Graph execution error:

Detected at node 'AdamW/StatefulPartitionedCall_5' defined at (most recent call last):
    File "/usr/local/lib/python3.9/runpy.py", line 197, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "/usr/local/lib/python3.9/runpy.py", line 87, in _run_code
      exec(code, run_globals)
    File "/usr/local/lib/python3.9/site-packages/ipykernel_launcher.py", line 17, in <module>
      app.launch_new_instance()
    File "/usr/local/lib/python3.9/site-packages/traitlets/config/application.py", line 1043, in launch_instance
      app.start()
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelapp.py", line 728, in start
      self.io_loop.start()
    File "/usr/local/lib/python3.9/site-packages/tornado/platform/asyncio.py", line 195, in start
      self.asyncio_loop.run_forever()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 596, in run_forever
      self._run_once()
    File "/usr/local/lib/python3.9/asyncio/base_events.py", line 1890, in _run_once
      handle._run()
    File "/usr/local/lib/python3.9/asyncio/events.py", line 80, in _run
      self._context.run(self._callback, *self._args)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 513, in dispatch_queue
      await self.process_one()
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 502, in process_one
      await dispatch(*args)
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 409, in dispatch_shell
      await result
    File "/usr/local/lib/python3.9/site-packages/ipykernel/kernelbase.py", line 729, in execute_request
      reply_content = await reply_content
    File "/usr/local/lib/python3.9/site-packages/ipykernel/ipkernel.py", line 422, in do_execute
      res = shell.run_cell(
    File "/usr/local/lib/python3.9/site-packages/ipykernel/zmqshell.py", line 540, in run_cell
      return super().run_cell(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3009, in run_cell
      result = self._run_cell(
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3064, in _run_cell
      result = runner(coro)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/async_helpers.py", line 129, in _pseudo_sync_runner
      coro.send(None)
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3269, in run_cell_async
      has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3448, in run_ast_nodes
      if await self.run_code(code, result, async_=asy):
    File "/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py", line 3508, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "/tmp/ipykernel_33447/3475931621.py", line 14, in <module>
      history = model.fit(
    File "/usr/local/lib/python3.9/site-packages/keras/src/utils/traceback_utils.py", line 65, in error_handler
      return fn(*args, **kwargs)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1742, in fit
      tmp_logs = self.train_function(iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1338, in train_function
      return step_function(self, iterator)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1322, in step_function
      outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1303, in run_step
      outputs = model.train_step(data)
    File "/usr/local/lib/python3.9/site-packages/keras/src/engine/training.py", line 1084, in train_step
      self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 544, in minimize
      self.apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1230, in apply_gradients
      return super().apply_gradients(grads_and_vars, name=name)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 652, in apply_gradients
      iteration = self._internal_apply_gradients(grads_and_vars)
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1260, in _internal_apply_gradients
      return tf.__internal__.distribute.interim.maybe_merge_call(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1352, in _distributed_apply_gradients_fn
      distribution.extended.update(
    File "/usr/local/lib/python3.9/site-packages/keras/src/optimizers/optimizer.py", line 1347, in apply_grad_to_update_var
      return self._update_step_xla(grad, var, id(self._var_key(var)))
Node: 'AdamW/StatefulPartitionedCall_5'
DNN library initialization failed. Look at the errors above for more details.
	 [[{{node AdamW/StatefulPartitionedCall_5}}]] [Op:__inference_train_function_1309]

hi-sushanta · 2023-07-11T04:10:55Z

Please can you provide your notebook?

maerory · 2023-07-12T05:30:00Z

@hi-sushanta is there any way to fix it without sharing the notebook file?

lazyfunctor · 2023-07-12T06:51:55Z

There's another related minor issue, AdamW does not work with tf.keras.optimizers.get. It's missing in all_classes dictionary here

hi-sushanta · 2023-07-15T01:36:18Z

@maerory you need to upgrade your CuDNN library to a version that is compatible with the version of TensorFlow that you are using

tilakrayal · 2023-08-11T13:45:35Z

@maerory,
Without the reproducible code, it would be difficult for us to debug the issue. In order to expedite the trouble-shooting process, could you please provide a minimal code snippet you are using.

There is an alternative workaround to make AdamW work on Apple Silicon with the latest version of tensorflow, tensorflow-addons.
All you need to do is to import AdamW from tensorflow_addons.optimizers. Could you please try and let us know if this works in your case.
Thank you!

github-actions · 2023-08-26T01:42:47Z

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

github-actions · 2023-09-13T01:44:11Z

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

tilakrayal · 2023-09-29T17:00:18Z

@maerory,
I tried to execute the example code on Apple M1 with the tf-nightly(2.15.0-dev20230927) and it was executed without any fail or error. Kindly find the screenshot below for the reference.
keras-team/keras#18492

Thank you!

github-actions · 2023-10-14T01:47:11Z

This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.

github-actions · 2023-10-29T01:48:54Z

This issue was closed because it has been inactive for 28 days. Please reopen if you'd like to work on this further.

google-ml-butler bot assigned tilakrayal Jul 5, 2023

tilakrayal added the stat:awaiting response from contributor label Jul 6, 2023

google-ml-butler bot removed the stat:awaiting response from contributor label Jul 10, 2023

tilakrayal added the stat:awaiting response from contributor label Aug 11, 2023

fchollet transferred this issue from keras-team/keras Sep 22, 2023

github-actions bot added the stale label Oct 14, 2023

github-actions bot closed this as completed Oct 29, 2023

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AdamW does not load for tensorflow 2.11.0 #159

AdamW does not load for tensorflow 2.11.0 #159

maerory commented Jul 5, 2023

tilakrayal commented Jul 6, 2023

hi-sushanta commented Jul 8, 2023

maerory commented Jul 10, 2023

hi-sushanta commented Jul 10, 2023

maerory commented Jul 11, 2023

hi-sushanta commented Jul 11, 2023

maerory commented Jul 12, 2023

lazyfunctor commented Jul 12, 2023

hi-sushanta commented Jul 15, 2023

tilakrayal commented Aug 11, 2023 •

edited

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github-actions bot commented Aug 26, 2023

github-actions bot commented Sep 13, 2023

tilakrayal commented Sep 29, 2023

github-actions bot commented Oct 14, 2023

github-actions bot commented Oct 29, 2023

AdamW does not load for tensorflow 2.11.0 #159

AdamW does not load for tensorflow 2.11.0 #159

Comments

maerory commented Jul 5, 2023

tilakrayal commented Jul 6, 2023

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