Matrix size-incompatible

[hardiknahata]

After model creation, when the first epoch starts, I get this error:

tensorflow.python.framework.errors_impl.InvalidArgumentError: Matrix size-incompatible: In[0]: [47,1000], In[1]: [4096,256]
[[node model/dense/Relu

Can you help me with this please? Seems like some size issue of tensor.

Error Traceback:

---

Layer (type) Output Shape Param # Connected to

input_1 (InputLayer) [(None, 4096)] 0 []

dropout (Dropout) (None, 4096) 0 ['input_1[0][0]']

dense (Dense) (None, 256) 1048832 ['dropout[0][0]']

input_2 (InputLayer) [(None, 34)] 0 []

repeat_vector (RepeatVector) (None, 34, 256) 0 ['dense[0][0]']

embedding (Embedding) (None, 34, 256) 1940224 ['input_2[0][0]']

concatenate (Concatenate) (None, 34, 512) 0 ['repeat_vector[0][0]',
'embedding[0][0]']

lstm (LSTM) (None, 500) 2026000 ['concatenate[0][0]']

dense_1 (Dense) (None, 7579) 3797079 ['lstm[0][0]']

==================================================================================================
Total params: 8,812,135
Trainable params: 8,812,135
Non-trainable params: 0

---

None
train_model.py:48: UserWarning: Model.fit_generator is deprecated and will be removed in a future version. Please use Model.fit, which supports generators.
callbacks=[checkpoint], validation_data=val_generator, validation_steps=val_steps)
Epoch 1/20
Traceback (most recent call last):
File "train_model.py", line 58, in
train_model(epochs=20)
File "train_model.py", line 48, in train_model
callbacks=[checkpoint], validation_data=val_generator, validation_steps=val_steps)
File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 2030, in fit_generator
initial_epoch=initial_epoch)
File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Matrix size-incompatible: In[0]: [47,1000], In[1]: [4096,256]
[[node model/dense/Relu
(defined at C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\backend.py:4867)
]] [Op:__inference_train_function_7367]

Errors may have originated from an input operation.
Input Source operations connected to node model/dense/Relu:
In[0] model/dense/BiasAdd (defined at C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\layers\core\dense.py:210)

Operation defined at: (most recent call last)

File "train_model.py", line 58, in
train_model(epochs=20)

File "train_model.py", line 48, in train_model
callbacks=[checkpoint], validation_data=val_generator, validation_steps=val_steps)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 2030, in fit_generator
initial_epoch=initial_epoch)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\utils\traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 1216, in fit
tmp_logs = self.train_function(iterator)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 878, in train_function
return step_function(self, iterator)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 867, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 860, in run_step
outputs = model.train_step(data)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\training.py", line 808, in train_step
y_pred = self(x, training=True)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\utils\traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\base_layer.py", line 1083, in call
outputs = call_fn(inputs, *args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\utils\traceback_utils.py", line 92, in error_handler
return fn(*args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\functional.py", line 452, in call
inputs, training=training, mask=mask)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\functional.py", line 589, in _run_internal_graph
outputs = node.layer(*args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\utils\traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\engine\base_layer.py", line 1083, in call
outputs = call_fn(inputs, *args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\utils\traceback_utils.py", line 92, in error_handler
return fn(*args, **kwargs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\layers\core\dense.py", line 213, in call
outputs = self.activation(outputs)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\activations.py", line 311, in relu
return backend.relu(x, alpha=alpha, max_value=max_value, threshold=threshold)

File "C:\Users\kingo\miniconda3\envs\icg\lib\site-packages\keras\backend.py", line 4867, in relu
x = tf.nn.relu(x)

2021-11-27 03:22:33.545141: W tensorflow/core/kernels/data/generator_dataset_op.cc:107] Error occurred when finalizing GeneratorDataset iterator: FAILED_PRECONDITION: Python interpreter state is not initialized. The process may be terminated.
[[{{node PyFunc}}]]