startup error

[rafaleo]

Hello. I try to evaluate your script and got the following error message:

(base) C:\Users\cp\Python\attention-is-all-you-need-keras>python en2de_main.py
Using TensorFlow backend.
loading data/en2de_word.txt
loading data/en2de.h5
loading data/en2de.valid.h5
seq 1 words: 3369
seq 2 words: 3665
train shapes: (29000, 43) (29000, 47)
valid shapes: (1014, 34) (1014, 39)
2020-03-11 13:08:06.384900: I tensorflow/core/common_runtime/process_util.cc:147] Creating new thread pool with default
inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
Traceback (most recent call last):
  File "en2de_main.py", line 33, in <module>
    s2s.compile(Adam(0.001, 0.9, 0.98, epsilon=1e-9))
  File "C:\Users\cp\Python\attention-is-all-you-need-keras\transformer.py", line 452, in compile
    loss = get_loss(final_output, tgt_true)
  File "C:\Users\cp\Python\attention-is-all-you-need-keras\transformer.py", line 440, in get_loss
    loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels=y_true, logits=y_pred)
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\ops\nn_ops.py", line 3537, in sparse_softmax_cros
s_entropy_with_logits_v2
    labels=labels, logits=logits, name=name)
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\ops\nn_ops.py", line 3470, in sparse_softmax_cros
s_entropy_with_logits
    array_ops.shape(logits)[:-1]))
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\ops\check_ops.py", line 658, in assert_equal
    data, summarize, message, name)
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\ops\check_ops.py", line 333, in _binary_assert
    if condition:
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\framework\ops.py", line 757, in __bool__
    self._disallow_bool_casting()
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\framework\ops.py", line 526, in _disallow_bool_ca
sting
    self._disallow_in_graph_mode("using a `tf.Tensor` as a Python `bool`")
  File "C:\Users\cp\Anaconda3\lib\site-packages\tensorflow_core\python\framework\ops.py", line 515, in _disallow_in_grap
h_mode
    " this function with @tf.function.".format(task))
tensorflow.python.framework.errors_impl.OperatorNotAllowedInGraphError: using a `tf.Tensor` as a Python `bool` is not al
lowed in Graph execution. Use Eager execution or decorate this function with @tf.function.

I use keras 2+ and tf 2+ as well but not using any gpu.

[banayoyo]

do u have solve it? I meet the same error

[salihgunduz]

no. not yet. 30 Nis 2020 Per 05:49 tarihinde banayoyo <[email protected]> şunu yazdı:

…

do u have solve it? I meet the same error — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#35 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJCO3UTUC6DCCK6JFDUCP3TRPDRNBANCNFSM4LFUNUVQ> .

[WangLi2019Gt]

do u have solve it? I meet the same error

[xux1984-china]

do you solve the error,I have the same problem

[xux1984-china]

E:\ProgramData\Anaconda3\envs\Dlearning\python.exe F:/reaserch/Dlearning/attention-is-all-you-need-keras-master/pinyin_main.py
2021-11-02 11:35:20.786849: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
loading data/pinyin_word.txt
seq 1 words: 198
seq 2 words: 218
2021-11-02 11:35:22.790685: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library nvcuda.dll
2021-11-02 11:35:22.822934: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 2070 Super computeCapability: 7.5
coreClock: 1.38GHz coreCount: 40 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-11-02 11:35:22.823133: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
2021-11-02 11:35:22.826677: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cublas64_10.dll
2021-11-02 11:35:22.829716: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cufft64_10.dll
2021-11-02 11:35:22.831096: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library curand64_10.dll
2021-11-02 11:35:22.834603: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusolver64_10.dll
2021-11-02 11:35:22.836756: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusparse64_10.dll
2021-11-02 11:35:22.843372: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudnn64_7.dll
2021-11-02 11:35:22.843524: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2021-11-02 11:35:22.843780: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-11-02 11:35:22.850462: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x296289b0a10 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-11-02 11:35:22.850703: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2021-11-02 11:35:22.850868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 2070 Super computeCapability: 7.5
coreClock: 1.38GHz coreCount: 40 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-11-02 11:35:22.851063: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
2021-11-02 11:35:22.851157: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cublas64_10.dll
2021-11-02 11:35:22.851249: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cufft64_10.dll
2021-11-02 11:35:22.851343: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library curand64_10.dll
2021-11-02 11:35:22.851436: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusolver64_10.dll
2021-11-02 11:35:22.851529: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cusparse64_10.dll
2021-11-02 11:35:22.851621: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudnn64_7.dll
2021-11-02 11:35:22.851731: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2021-11-02 11:35:23.321532: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-11-02 11:35:23.321709: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263] 0
2021-11-02 11:35:23.321789: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0: N
2021-11-02 11:35:23.321964: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6613 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2070 Super, pci bus id: 0000:01:00.0, compute capability: 7.5)
2021-11-02 11:35:23.324097: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2964d88f920 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2021-11-02 11:35:23.324220: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce RTX 2070 Super, Compute Capability 7.5
Traceback (most recent call last):
File "F:/reaserch/Dlearning/attention-is-all-you-need-keras-master/pinyin_main.py", line 23, in
s2s.compile(opt)
File "F:\reaserch\Dlearning\attention-is-all-you-need-keras-master\transformer.py", line 453, in compile
loss = get_loss(final_output, tgt_true)
File "F:\reaserch\Dlearning\attention-is-all-you-need-keras-master\transformer.py", line 441, in get_loss
loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels=y_true, logits=y_pred)
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 4176, in sparse_softmax_cross_entropy_with_logits_v2
labels=labels, logits=logits, name=name)
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\ops\nn_ops.py", line 4108, in sparse_softmax_cross_entropy_with_logits
array_ops.shape(logits)[:-1]))
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\ops\check_ops.py", line 671, in assert_equal
data, summarize, message, name)
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\ops\check_ops.py", line 335, in _binary_assert
if condition:
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\framework\ops.py", line 877, in bool
self._disallow_bool_casting()
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\framework\ops.py", line 490, in _disallow_bool_casting
self._disallow_in_graph_mode("using a tf.Tensor as a Python bool")
File "E:\ProgramData\Anaconda3\envs\Dlearning\lib\site-packages\tensorflow\python\framework\ops.py", line 479, in _disallow_in_graph_mode
" this function with @tf.function.".format(task))
tensorflow.python.framework.errors_impl.OperatorNotAllowedInGraphError: using a tf.Tensor as a Python bool is not allowed in Graph execution. Use Eager execution or decorate this function with @tf.function.

[yqw123]

I have the same error

[lsdefine]

I can run the code in tf=2.6.0.
Please provide the environments.

Or using a lambda layer to package the tf function may help, like this:
transformer.py 453-457
#loss = get_loss(final_output, tgt_true)
loss = Lambda(lambda x:get_loss(x[0], x[1]))([final_output, tgt_true])
self.ppl = K.exp(loss)
#self.accu = get_accu(final_output, tgt_true)
self.accu = Lambda(lambda x:get_accu(x[0], x[1]))([final_output, tgt_true])

This is also runable in my env.

[thibault-roux]

I had the same problem but correct it by upgrading tensorflow to 2.7.0 :)