Comments (12)
nixingyang
commented on May 27, 2024
2
Hi,
I encountered a similar issue using TensorFlow 2.4.1.
Here is a minimal snippet to replicate it:
from tensorflow.keras.layers import Input
from tensorflow.keras.models import Model
from tf2cv.model_provider import get_model
raw_model = get_model(name="resnestabc14", pretrained=True)
# First case
input_tensor = Input(shape=(224, 224, 3), batch_size=64)
output_tensor = raw_model(input_tensor)
model = Model(inputs=input_tensor, outputs=output_tensor)
# Second case
input_tensor = Input(shape=(224, 224, 3))
output_tensor = raw_model(input_tensor)
model = Model(inputs=input_tensor, outputs=output_tensor)The first case runs properly, while the second case crashes.
All the best.
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osmr
commented on May 27, 2024
Could you show me a minimal script to reproduce the error?
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Mrmdzz
commented on May 27, 2024
WARNING:tensorflow:Skipping loading of weights for layer output1 due to mismatch in shape ((2048, 5) vs (2048, 1000)).
WARNING:tensorflow:Skipping loading of weights for layer output1 due to mismatch in shape ((5,) vs (1000,)).
INFO:tensorflow:Error reported to Coordinator: in user code:
TypeError: in user code:
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py:571 train_function *
outputs = self.distribute_strategy.run(
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\resnesta.py:314 call *
x = self.features(x, training=training)
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\common.py:2925 call *
x = block(x, training=training)
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\common.py:2925 call *
x = block(x, training=training)
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\resnesta.py:234 call *
x = self.body(x, training=training)
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\resnesta.py:131 call *
x = self.conv2(x, training=training)
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\common.py:2739 call *
x = self.att(x, training=training)
C:\ProgramData\Anaconda3\lib\site-packages\tf2cv\models\common.py:2624 call *
x = tf.reshape(x, shape=(batch, height, width, self.radix, channels // self.radix))
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\array_ops.py:193 reshape **
result = gen_array_ops.reshape(tensor, shape, name)
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py:8087 reshape
"Reshape", tensor=tensor, shape=shape, name=name)
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py:473 _apply_op_helper
raise err
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py:470 _apply_op_helper
preferred_dtype=default_dtype)
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py:1341 convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py:321 _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py:262 constant
allow_broadcast=True)
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py:300 _constant_impl
allow_broadcast=allow_broadcast))
C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py:547 make_tensor_proto
"supported type." % (type(values), values))
TypeError: Failed to convert object of type <class 'tuple'> to Tensor. Contents: (None, 128, 128, 2, 64). Consider casting elements to a supported type.
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Mrmdzz
commented on May 27, 2024
minimal script:
model = tf2cv_get_model("resnesta50", pretrained=True, data_format="channels_last")
optimizer = tfa.optimizers.Lookahead(tfa.optimizers.RectifiedAdam(learning_rate=LR))
model.compile(...)
model.fit(...)
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osmr
commented on May 27, 2024
Do you use a tf2cv pip package? What version is it?
Are you training other models with the same script?
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Mrmdzz
commented on May 27, 2024
Is the latest version
Default used in the last 2-3 days pip install tf2cv
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osmr
commented on May 27, 2024
Sorry. I can't reproduce your case using this description. It could be because of the different versions of TF/Keras or because I doesn't train the net with the fit function. I could suggest the following course of action: Please make a private repository containing minimal working code that reproduces the bug. In the readme, describe where to download the dataset. Add me to the repository. I'll debug the code and localize the error.
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Mrmdzz
commented on May 27, 2024
I'll try another version TF/Keras.Which version of TF / keras is suitable for this model library?
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osmr
commented on May 27, 2024
Theoretically any. Now I have TF 2.4.0 and Keras 2.3.1.
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osmr
commented on May 27, 2024
Please test the effect of the last commit in the repository.
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Mrmdzz
commented on May 27, 2024
thanks
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nixingyang
commented on May 27, 2024
Thanks for the quick patch. The updated code works as expected.
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