<p dir="auto">When I installed tensorflow with "pip install",I meet the "A protocol message was rejected because it was too big (more than 67108864 bytes) ",and I uninstall protobuf with pip,then download a new protobuf,install it with changing 256 &lt;&lt; 20 in coded_stream.h as "Readme" said,but the same problem occurred,it seems that tensorflow hasn't used the new protobuf,how could I deal with this problem?</p>
<p dir="auto">I'm using tf: '2.0.0-rc1'</p>
<p dir="auto">In the process to load image, you said</p>
<p dir="auto">for image, label in labeled_ds.take(1):<br>
print("Image shape: ", image.numpy().shape)<br>
print("Label: ", label.numpy())</p>
<p dir="auto">InvalidArgumentError: {{function_node __inference_Dataset_map_process_path_378}} slice index -1 of dimension 0 out of bounds.<br>
[[{{node strided_slice}}]] [Op:IteratorGetNextSync]</p>
<p dir="auto">and then:<br>
train_ds = prepare_for_training(labeled_ds)</p>
<p dir="auto">image_batch, label_batch = next(iter(train_ds))</p>
<p dir="auto">InvalidArgumentError: {{function_node __inference_Dataset_map_process_path_378}} slice index -1 of dimension 0 out of bounds.<br>
[[{{node strided_slice}}]] [Op:IteratorGetNextSync]</p>
<p dir="auto">some kind of problem...</p>