Batch_size error ?

[bearlu007]

Hi . Thanks for the code first.
When I run the training, I got an issue below. I just follow the simple instructions and did not add extra input. Do you know why this happens ? Thank you very much.

Epoch 1/120
Traceback (most recent call last):
File "./src/train_lpcnet.py", line 150, in
model.fit([in_data, in_exc, features, periods], out_data, batch_size=batch_size, epochs=nb_epochs, validation_split=0.0, callbacks=[checkpoint, lpcnet.Sparsify(2000, 40000, 400, (0.1, 0.1, 0.1))])
File "/usr/local/lib/python3.6/site-packages/keras/engine/training.py", line 1039, in fit
validation_steps=validation_steps)
File "/usr/local/lib/python3.6/site-packages/keras/engine/training_arrays.py", line 199, in fit_loop
outs = f(ins_batch)
File "/usr/local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2715, in call
return self._call(inputs)
File "/usr/local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2675, in _call
fetched = self._callable_fn(*array_vals)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1382, in call
run_metadata_ptr)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 519, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [153600] vs. [64,2400]
[[Node: metrics_1/sparse_categorical_accuracy/Equal = Equal[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](metrics_1/sparse_categorical_accuracy/Reshape, metrics_1/sparse_categorical_accuracy/Cast)]]
[[Node: loss_1/mul/_237 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2235_loss_1/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

[dgromero]

I also got that error. I removed the "sparse_categorical_accuracy" metric and got it to run. Not sure how to keep the metric and make it work though.

[azraelkuan]

update your keras

[dgromero]

I am using the versions below (latest) and still get the error when trying to use the metric. What versions do you use to make it run?

import tensorflow as tf
tf.version
'1.12.0'
import keras
Using TensorFlow backend.
keras.version
'2.2.4'

[dengliqun]

I also come into this error, and I have updated Keras to the latest but without help. Does anyone has a answer for it? Thanks very much

[luvpine]

The lastest keras has an error!
check this : https://github.com/keras-team/keras/pull/11373/files/7f27b67344fd88ae50fc7d661fc69e366590ef04

[dengliqun]

The lastest keras has an error!
check this : https://github.com/keras-team/keras/pull/11373/files/7f27b67344fd88ae50fc7d661fc69e366590ef04

It works. Thanks~