addons module 'tensorflow_addons' has no attribute 'optimizers' (tfa-nightly)

System information

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOs M1 (12.0 Beta Monterey)
TensorFlow version and how it was installed (source or binary): 2.5.0 (pip)
TensorFlow-Addons version and how it was installed (source or binary): tfa-nightly 0.15.0 (pip)
Python version: 3.8
Is GPU used? (yes/no): NA

Describe the bug

After installing from nightly version, I got an error module 'tensorflow_addons' has no attribute 'optimizers'

Code to reproduce the issue

import tensorflow_addons as tfa ... radam = tfa.optimizers.RectifiedAdam(lr=cf["lr"], clipnorm=clipnorm)

Other info / logs

Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

Sep 27 '21 21:09 asapsmc

/cc @szutenberg

Sep 27 '21 22:09 bhack

Hi @MR-T77

I tried to reproduce it:

tensorflow-cpu 2.5.0
tfa-nightly 0.15.0.dev20210922190150
Ubuntu 20.04.1 LTS

Everything seems to be ok.

Please check if you can run the following code:

import tensorflow_addons as tfa
print(tfa)
print(tfa.optimizers)
print(tfa.optimizers.RectifiedAdam)

What does it return?

If you're still getting an error then please attach the output from pip freeze.

Sep 28 '21 19:09 szutenberg

Hi @szutenberg! It seems something was broken with my conda environment (I tried so many things...). I uninstalled tensorflow-addons (0.14) and reinstalled tfa-nightly, and now I can import tfa without error. Just to be sure: whenever I update something on a conda environment, I immediately run code on top of it, I don't restart terminal or vscode (I'm not sure this is the best process or if I should restart something). Nevertheless, although I can import addons, I cannot use them, I always get the following error (tried with other optimizers too but I get the same error):

Traceback (most recent call last):
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/Users/machine/.vscode/extensions/ms-python.python-2021.9.1246542782/pythonFiles/lib/python/debugpy/__main__.py", line 45, in <module>
    cli.main()
  File "/Users/machine/.vscode/extensions/ms-python.python-2021.9.1246542782/pythonFiles/lib/python/debugpy/../debugpy/server/cli.py", line 444, in main
    run()
  File "/Users/machine/.vscode/extensions/ms-python.python-2021.9.1246542782/pythonFiles/lib/python/debugpy/../debugpy/server/cli.py", line 285, in run_file
    runpy.run_path(target_as_str, run_name=compat.force_str("__main__"))
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/runpy.py", line 268, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/Users/machine/Projects/finetune-asp/src/ISMIR2020_v2.py", line 471, in <module>
    main()
  File "/Users/machine/Projects/finetune-asp/src/ISMIR2020_v2.py", line 466, in main
    new_train(dataset, 'TCNv2', cpu=False, addons=True)
  File "/Users/machine/Projects/finetune-asp/src/ISMIR2020_v2.py", line 329, in new_train
    history = model.fit(train, steps_per_epoch=len(train), epochs=cf["num_epochs"], shuffle=True,
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/keras/engine/training.py", line 1183, in fit
    tmp_logs = self.train_function(iterator)
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py", line 889, in __call__
    result = self._call(*args, **kwds)
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py", line 950, in _call
    return self._stateless_fn(*args, **kwds)
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/function.py", line 3023, in __call__
    return graph_function._call_flat(
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/function.py", line 1960, in _call_flat
    return self._build_call_outputs(self._inference_function.call(
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/function.py", line 591, in call
    outputs = execute.execute(
  File "/Users/machine/miniforge3/envs/tf/lib/python3.9/site-packages/tensorflow/python/eager/execute.py", line 59, in quick_execute
    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for operation model/conv_1_3x3_conv/Conv2D/ReadVariableOp: Could not satisfy explicit device specification '' because the node {{colocation_node model/conv_1_3x3_conv/Conv2D/ReadVariableOp}} was colocated with a group of nodes that required incompatible device '/job:localhost/replica:0/task:0/device:GPU:0'. All available devices [/job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:GPU:0]. 
Colocation Debug Info:
Colocation group had the following types and supported devices: 
Root Member(assigned_device_name_index_=2 requested_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' assigned_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' resource_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' supported_device_types_=[CPU] possible_devices_=[]
Equal: CPU 
AssignSubVariableOp: GPU CPU 
AssignVariableOp: GPU CPU 
GreaterEqual: GPU CPU 
FloorDiv: CPU 
Sqrt: GPU CPU 
NoOp: GPU CPU 
Pow: GPU CPU 
Mul: CPU 
Cast: GPU CPU 
Identity: GPU CPU 
SelectV2: GPU CPU 
ReadVariableOp: GPU CPU 
RealDiv: GPU CPU 
Sub: GPU CPU 
AddV2: GPU CPU 
Const: GPU CPU 
Square: GPU CPU 
_Arg: GPU CPU 

Colocation members, user-requested devices, and framework assigned devices, if any:
  model_conv_1_3x3_conv_conv2d_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  lookahead_lookahead_update_mul_5_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  lookahead_lookahead_update_mul_8_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  lookahead_lookahead_update_sub_10_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  model/conv_1_3x3_conv/Conv2D/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/Identity (Identity) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_5 (Cast) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Pow (Pow) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Pow_1 (Pow) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_1/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_1 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_2/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_2 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_3/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_3 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_1/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_1 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_2/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_2 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_4/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_4 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_1 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_2 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_5 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_6/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_6 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_7/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_7 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_3 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_8/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_8 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_3 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_9/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_9 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_4 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_4 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_5 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Sqrt (Sqrt) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/GreaterEqual (GreaterEqual) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Const (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_5/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/mul_5 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_6 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_1 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_1 (ReadVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_7 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_8/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/mul_8 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Square (Square) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_9 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_2 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp_1 (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_2 (ReadVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_10 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Sqrt_1 (Sqrt) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_11 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_3 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_6 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/SelectV2 (SelectV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_12 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignSubVariableOp (AssignSubVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/group_deps (NoOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_4/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_4 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_7/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_7 (Cast) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_8/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_4 (ReadVariableOp) 
  Lookahead/Lookahead/update/sub_10/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/sub_10 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_13 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_5 (ReadVariableOp) 
  Lookahead/Lookahead/update/add_5 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/floordiv (FloorDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_14 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Equal (Equal) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/SelectV2_1/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/SelectV2_1 (SelectV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp_2 (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/SelectV2_2/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/SelectV2_2 (SelectV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp_3 (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/group_deps_1 (NoOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/group_deps_2 (NoOp) /job:localhost/replica:0/task:0/device:GPU:0

         [[{{node model/conv_1_3x3_conv/Conv2D/ReadVariableOp}}]] [Op:__inference_train_function_30042]

Sep 29 '21 11:09 asapsmc

/cc @lgeiger Can you replicate this on your M1?

Sep 29 '21 12:09 bhack

@MR-T77 It looks that there are no issues with TFA but there are missing GPU kernels which breaks collocation.

You need to check what types do you use with Equal, Mul and FloorDiv. You can dump graphs (TF_DUMP_GRAPH_PREFIX + turn on vlog) and check it in pbtxt file.

Sep 30 '21 05:09 szutenberg

@szutenberg I'm a newbie on this type of things, sorry. Could you please point me to more detailed description of what I need to do? Thanks in advance

Sep 30 '21 10:09 asapsmc

Also, I'm not using any custom code here. It's a simple BLSTM (3-layer keras Bidirectional(simpleRNN) with a dense output)

Sep 30 '21 10:09 asapsmc

@MR-T77 maybe the easiest would be to provide the code so that we can reproduce it locally.

İf you want to debug it on your own then set TF_CPP_MAX_VLOG_LEVEL to 10, and TF_DUMP_GRAPH_PREFİX=tmp. You should see tmp dir after running the script. Reading placer_input.pbtxt will answer to my question (simply grep -A 20 -rn FloorDiv). You'll see dtypes.

Anyway I'm traveling now so I'm not able to help you further until ~12th October.

Sep 30 '21 19:09 szutenberg

@szutenberg thank you so much for your availability to help! I'll try to understand what's wrong until 12th October. If I'm unsuccessful, I'll contact again.

Sep 30 '21 20:09 asapsmc

@szutenberg anyways, I leave here the code I'm using, just in case it's a easy thing you can spot on:

import os
import pickle
import numpy as np
from tensorflow.keras.utils import Sequence
from tensorflow.keras.layers import (Dense, Input)
from tensorflow.keras.layers import SimpleRNN, Bidirectional, Masking, LSTM  # For BLSTM
from tensorflow.keras.models import Sequential, Model
import madmom

import tensorflow.keras.backend as K
import tensorflow as tf

import tensorflow_addons as tfa

from modules.utils import PKL_PATH

tf.config.set_soft_device_placement(True)
# GENERAL CONSTANTS
FPS = 100  # set the frame rate as FPS frames per second
MASK_VALUE = -1

lr = 0.05
num_epochs = 50


class Fold(object):

    def __init__(self, folds, fold):
        self.folds = folds
        self.fold = fold

    @property
    def test(self):
        # fold N for testing
        return np.unique(self.folds[self.fold])

    @property
    def val(self):
        # fold N+1 for validation
        return np.unique(self.folds[(self.fold + 1) % len(self.folds)])

    @property
    def train(self):
        # all remaining folds for training
        train = np.hstack(self.folds)
        train = np.setdiff1d(train, self.val)
        train = np.setdiff1d(train, self.test)
        return train


class DataSequence_BLSTM(Sequence):

    mask_value = -999  # only needed for batch sizes > 1

    def __init__(self, x, y, batch_size=1, max_seq_length=None, fps=FPS):
        self.x = x
        self.y = [madmom.utils.quantize_events(o, fps=fps, length=len(d))
                  for o, d in zip(y, self.x)]
        self.batch_size = batch_size
        self.max_seq_length = max_seq_length

    def __len__(self):
        return int(np.ceil(len(self.x) / float(self.batch_size)))

    def __getitem__(self, idx):
        # determine which sequence(s) to use
        x = self.x[idx * self.batch_size:(idx + 1) * self.batch_size]
        y = self.y[idx * self.batch_size:(idx + 1) * self.batch_size]
        # pad them if needed
        if self.batch_size > 1:
            x = tf.keras.preprocessing.sequence.pad_sequences(
                x, maxlen=self.max_seq_length, dtype=np.float32, truncating='post', value=self.mask_value)
            y = tf.keras.preprocessing.sequence.pad_sequences(
                y, maxlen=self.max_seq_length, dtype=np.int32, truncating='post', value=self.mask_value)
        return np.array(x), np.array(y)[..., np.newaxis]


def simple_BLSTM(dataset, cpu=False):
    train_db = pickle.load(open('%s/%s.pkl' % (PKL_PATH, dataset), 'rb'))
    num_fold = 0
    fold = Fold(train_db.folds, num_fold)
    train = DataSequence_BLSTM([train_db.x[i] for i in fold.train],
                               [train_db.annotations[i] for i in fold.train],
                               batch_size=1, max_seq_length=60 * FPS)
    val = DataSequence_BLSTM([train_db.x[i] for i in fold.val],
                             [train_db.annotations[i] for i in fold.val],
                             batch_size=1, max_seq_length=60 * FPS)
    input_layer = Input((None, train[0][0].shape[-1]))
    masked = Masking(mask_value=-999)(input_layer)
    blstm_1 = Bidirectional(SimpleRNN(units=25, return_sequences=True))(masked)
    blstm_2 = Bidirectional(SimpleRNN(units=25, return_sequences=True))(blstm_1)
    blstm_3 = Bidirectional(SimpleRNN(units=25, return_sequences=True))(blstm_2)
    output_layer = Dense(1, name='output', activation='sigmoid')(blstm_3)
    model = Model(input_layer, output_layer)
    radam = tfa.optimizers.RectifiedAdam(lr=lr, clipnorm=0.5)
    ranger = tfa.optimizers.Lookahead(radam, sync_period=6, slow_step_size=0.5)
    model.compile(optimizer=ranger, loss=K.binary_crossentropy, metrics=['binary_accuracy'])
    history = model.fit(train, steps_per_epoch=len(train), epochs=num_epochs, shuffle=True,
                        validation_data=val, validation_steps=len(val),
                        verbose=True)
    return True


def main():
    tf.config.set_soft_device_placement(True)
    dataset = "traintest_smallsmc"
    simple_BLSTM(dataset)


if __name__ == "__main__":

    main()

Sep 30 '21 20:09 asapsmc

Have you already tried with https://www.tensorflow.org/api_docs/python/tf/config/set_soft_device_placement ?

Sep 30 '21 20:09 bhack

@szutenberg Could it be a side effect of your introduced var.device?

Sep 30 '21 20:09 bhack

Have you already tried with https://www.tensorflow.org/api_docs/python/tf/config/set_soft_device_placement ?

Yes, it's there in the code: "tf.config.set_soft_device_placement(True)"

Sep 30 '21 20:09 asapsmc

@MR-T77 Yes sorry I missed, is that your code is not well formatted.

Sep 30 '21 20:09 bhack

Hi @MR-T77

I'm back. Have you solved the issue?

Today I tried to reproduce your problem and unfortunately, the code requires pickle which is not attached. I created dummy training data and everything works fine - FloorDiv (T=INT64) is placed on GPU.

Graphs don't contain name "conv_1_3x3_conv" so probably the code I got did not produce the error message you attached.

Please provide full code and all required files together with frozen pip list (pip freeze).

Oct 13 '21 19:10 szutenberg

Hi @szutenberg! Unfortunately no, I have not solved the issue, although I have tried everything I could. But right now, and with this short snippet (from 30-Set) the behaviour is different than the initial: Now, it seems that the train starts, but just stalls after appearing "Epoch 1/50". I send you the missing pickle here attached, as well as the frozen pip list and a export of "conda list --explicit". traintest_smallsmc.pkl.zip condaenv.txt pipfreeze.txt

Oct 14 '21 21:10 asapsmc

And to be complete, in my original code (the one with conv layers) I am getting the same error as initially exposed ("Cannot assign a divide for operation..."). Nevertheless, if I replace the optimizer by the simple keras.optimizers.Adam, I can train the model. Here I attach the code problem_TCN.py.zip Thanks in advance.

Oct 14 '21 21:10 asapsmc

Hi @MR-T77 ,

I'm sorry but it seems that one more file is missing: definitions.py Traceback (most recent call last): File "problem_TCN.py", line 183, in <module> simple_TCN(dataset) File "problem_TCN.py", line 135, in simple_TCN train_db = pickle.load(open('%s.pkl' % (dataset), 'rb')) ModuleNotFoundError: No module named 'definitions'

Could you make sure that it reproduces on google colab?

Oct 17 '21 11:10 szutenberg

Hi @szutenberg, I'm so sorry for that, the pickle file was saved in a module definitions.py, that's why it is requesting that file, although it does not need it. I re-saved the pickle in "main", and I attach it as well as a more complete problem_TCN.py. [traintest_smallsmc.pkl.zip](https://github.com/tensorflow/addons/files/7363832/traintest_smallsmc.pkl.zip problem_TCN.py.zip )

Oct 18 '21 10:10 asapsmc

Hi @MR-T77 ,

Unfortunately now I have another error: AttributeError: Can't get attribute 'Dataset' on <module '__main__' from 'problem_TCN.py'>

Could you please prepare google colab which demonstrates your problem? Note that you don't need to provide real data - dummy training data is enough: you just need to make sure that shapes match.

Thanks!

Oct 18 '21 18:10 szutenberg

Yes a Colab with dummy input data is the best thing to share so we could verify if it is something only related to your MacOs M1 platform or a more general issue.

Oct 18 '21 18:10 bhack

Hi @szutenberg and @bhack : sorry for my late reply but I was trying to generate dummy data, but I couldn't do it without further errors (I'm a newbie). I really hope with this Google Colab you can test everything (otherwise, please instruct me). You'll just have to upload the pkl file into your runtime. In Colab I don't have errors, I can run this exact code. But I'm using a whole set of different libraries (e.g. no tf-metal) and versions (tf, tf-addons).

Oct 19 '21 16:10 asapsmc

Hi @MR-T77

I took the code from colab and was able to run it in my virtual env (Ubuntu 20.04): tensorflow-gpu 2.5.0 tfa-nightly 0.15.0.dev20210922190150

All ops Equal are placed on GPU and everything works fine.

Oct 19 '21 17:10 szutenberg

Hi @szutenberg,

So, do you think it is some clash between libraries in my environment or other reason?

Oct 19 '21 18:10 asapsmc

@lgeiger Can you try to see if you can reproduce this on your M1 ?

Oct 19 '21 18:10 bhack

I just want to clarify that I can run this exact code with no problems if I use tf.keras.Adam. If I start using tf-addons optimizers (e.g. Radam) I get the above errors. Following @szutenberg request, I already sent the pip freeze list and paste it here again. Do you think any of these libraries/versions could be causing this clash with tf-addons? pipfreeze.txt

Oct 20 '21 18:10 asapsmc

Can you check your device placement:

https://www.tensorflow.org/api_docs/python/tf/debugging/set_log_device_placement

Oct 20 '21 18:10 bhack

Hi @bhack , I did as you said and got this:

warnings.warn( args_0: (_Arg): /job:localhost/replica:0/task:0/device:CPU:0 GeneratorDataset: (GeneratorDataset): /job:localhost/replica:0/task:0/device:CPU:0 NoOp: (NoOp): /job:localhost/replica:0/task:0/device:CPU:0 Identity: (Identity): /job:localhost/replica:0/task:0/device:CPU:0 FakeSink0: (Identity): /job:localhost/replica:0/task:0/device:CPU:0 identity_RetVal: (_Retval): /job:localhost/replica:0/task:0/device:CPU:0 args_0: (_Arg): /job:localhost/replica:0/task:0/device:CPU:0 GeneratorDataset: (GeneratorDataset): /job:localhost/replica:0/task:0/device:CPU:0 NoOp: (NoOp): /job:localhost/replica:0/task:0/device:CPU:0 Identity: (Identity): /job:localhost/replica:0/task:0/device:CPU:0 FakeSink0: (Identity): /job:localhost/replica:0/task:0/device:CPU:0 identity_RetVal: (_Retval): /job:localhost/replica:0/task:0/device:CPU:0 Epoch 1/50 assignvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 AssignVariableOp: (AssignVariableOp): /job:localhost/replica:0/task:0/device:GPU:0 iter/Initializer/zeros: (Const): /job:localhost/replica:0/task:0/device:GPU:0 iterator: (_Arg): /job:localhost/replica:0/task:0/device:CPU:0 iterator_1: (_Arg): /job:localhost/replica:0/task:0/device:CPU:0 model_conv_1_convolution_conv2d_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_conv_1_convolution_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_conv_2_convolution_conv2d_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_conv_2_convolution_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_conv_3_convolution_conv2d_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_conv_3_convolution_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_2_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_2_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_2_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_2_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_4_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_4_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_4_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_4_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_8_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_8_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_8_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_8_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_16_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_16_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_16_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_16_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_32_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_32_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_32_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_32_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_64_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_64_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_64_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_64_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_128_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_128_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_128_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_128_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_256_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_256_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_256_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_256_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_512_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_512_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_512_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_512_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1024_dilated_conv_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1024_dilated_conv_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1024_conv_1x1_conv1d_expanddims_1_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_tcn_1024_conv_1x1_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_output_tensordot_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 model_output_biasadd_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 assignaddvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 assignaddvariableop_1_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_cast_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_cast_2_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_cast_3_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_cast_4_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_cast_6_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_1_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_1_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_1_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_2_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_2_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_2_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_3_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_3_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_3_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_4_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_4_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_4_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_5_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_5_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_5_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_6_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_6_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_6_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_7_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_7_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_7_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_8_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_8_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_8_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_9_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_9_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_9_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_10_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_10_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_10_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_11_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_11_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_11_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_12_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_12_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_12_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_13_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_13_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_13_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_14_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_14_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_14_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_15_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_15_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_15_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_16_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_16_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_16_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_17_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_17_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_17_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_18_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_18_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_18_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_19_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_19_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_19_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_20_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_20_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_20_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_21_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_21_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_21_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_22_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_22_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_22_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_23_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_23_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_23_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_24_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_24_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_24_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_25_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_25_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_25_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_26_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_26_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_26_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_27_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_27_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_27_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_28_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_28_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_28_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_29_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_29_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_29_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_30_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_30_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_30_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_31_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_31_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_31_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_32_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_32_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_32_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_33_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_33_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_33_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_34_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_34_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_34_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_35_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_35_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_35_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_36_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_36_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_36_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_37_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_37_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_37_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_38_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_38_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_38_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_39_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_39_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_39_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_40_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_40_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_40_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_41_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_41_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_41_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_42_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_42_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_42_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_43_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_43_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_43_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_44_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_44_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_44_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_45_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_45_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_45_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_46_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_46_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_46_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_47_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_47_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_47_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_48_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_48_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_48_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_49_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_49_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_49_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_50_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_50_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_50_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_51_mul_5_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_51_mul_8_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 lookahead_lookahead_update_51_sub_10_readvariableop_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 assignaddvariableop_2_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 assignaddvariableop_3_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 assignaddvariableop_4_resource: (_Arg): /job:localhost/replica:0/task:0/device:GPU:0 IteratorGetNext: (IteratorGetNext): /job:localhost/replica:0/task:0/device:CPU:0

After this I get the error message:

Exception has occurred: InvalidArgumentError       (note: full exception trace is shown but execution is paused at: <module>)
Cannot assign a device for operation model/conv_1_convolution/Conv2D/ReadVariableOp: Could not satisfy explicit device specification '' because the node {{colocation_node model/conv_1_convolution/Conv2D/ReadVariableOp}} was colocated with a group of nodes that required incompatible device '/job:localhost/replica:0/task:0/device:GPU:0'. All available devices [/job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:GPU:0]. 
Colocation Debug Info:
Colocation group had the following types and supported devices: 
Root Member(assigned_device_name_index_=2 requested_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' assigned_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' resource_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' supported_device_types_=[CPU] possible_devices_=[]
Equal: CPU 
AssignSubVariableOp: GPU CPU 
AssignVariableOp: GPU CPU 
GreaterEqual: GPU CPU 
FloorDiv: CPU 
Sqrt: GPU CPU 
NoOp: GPU CPU 
Pow: GPU CPU 
Mul: CPU 
Cast: GPU CPU 
Identity: GPU CPU 
SelectV2: GPU CPU 
ReadVariableOp: GPU CPU 
RealDiv: GPU CPU 
Sub: GPU CPU 
AddV2: GPU CPU 
Const: GPU CPU 
Square: GPU CPU 
_Arg: GPU CPU 

Colocation members, user-requested devices, and framework assigned devices, if any:
  model_conv_1_convolution_conv2d_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  lookahead_lookahead_update_mul_5_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  lookahead_lookahead_update_mul_8_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  lookahead_lookahead_update_sub_10_readvariableop_resource (_Arg)  framework assigned device=/job:localhost/replica:0/task:0/device:GPU:0
  model/conv_1_convolution/Conv2D/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/Identity (Identity) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_5 (Cast) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Pow (Pow) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Pow_1 (Pow) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_1/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_1 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_2/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_2 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_3/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_3 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_1/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_1 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_2/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_2 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_4/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_4 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_1 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_2 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_5 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_6/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_6 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_7/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_7 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_3 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_8/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_8 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_3 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_9/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/sub_9 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_4 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_4 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_5 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Sqrt (Sqrt) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/GreaterEqual (GreaterEqual) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Const (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_5/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/mul_5 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_6 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_1 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_1 (ReadVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_7 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_8/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/mul_8 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Square (Square) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_9 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_2 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp_1 (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_2 (ReadVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_10 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Sqrt_1 (Sqrt) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_11 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_3 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/truediv_6 (RealDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/SelectV2 (SelectV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_12 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignSubVariableOp (AssignSubVariableOp)/job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/group_deps (NoOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_4/y (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/add_4 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_7/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_7 (Cast) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Cast_8/x (Const) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_4 (ReadVariableOp) 
  Lookahead/Lookahead/update/sub_10/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/sub_10 (Sub) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_13 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/ReadVariableOp_5 (ReadVariableOp) 
  Lookahead/Lookahead/update/add_5 (AddV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/floordiv (FloorDiv) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/mul_14 (Mul) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/Equal (Equal) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/SelectV2_1/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/SelectV2_1 (SelectV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp_2 (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/SelectV2_2/ReadVariableOp (ReadVariableOp) 
  Lookahead/Lookahead/update/SelectV2_2 (SelectV2) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/AssignVariableOp_3 (AssignVariableOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/group_deps_1 (NoOp) /job:localhost/replica:0/task:0/device:GPU:0
  Lookahead/Lookahead/update/group_deps_2 (NoOp) /job:localhost/replica:0/task:0/device:GPU:0

	 [[{{node model/conv_1_convolution/Conv2D/ReadVariableOp}}]] [Op:__inference_train_function_15035]

Oct 21 '21 11:10 asapsmc

Have you tried to see if it is failing with:

https://www.tensorflow.org/api_docs/python/tf/config/set_soft_device_placement

Oct 21 '21 11:10 bhack

Have you tried to see if it is failing with:

https://www.tensorflow.org/api_docs/python/tf/config/set_soft_device_placement

Yes, these errors happen also with tf.config.set_soft_device_placement(True). (and you already had that same question 21 days ago, if I understood correctly.)

Oct 21 '21 15:10 asapsmc

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module 'tensorflow_addons' has no attribute 'optimizers' (tfa-nightly)

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