load LandscapesBig mode error

[alphabeta10]

model.load(28)

n1 = noiseList(64)
n2 = nImage(64)
for i in range(50):
    print(i, end = '\r')
    model.generateTruncated(n1, noi = n2, trunc = i / 50, outImage = True, num = i)

error
2020-01-27 14:14:23.735268: W tensorflow/core/common_runtime/base_collective_executor.cc:216] BaseCollectiveExecutor::StartAbort Invalid argument: input and filter must have the same depth: 1536 vs 96
[[{{node conv2d_mod_23/Conv2D}}]]
Traceback (most recent call last):
File "/Users/pig/PycharmProjects/StyleGAN2-Tensorflow-2.0/stylegan_two.py", line 646, in
model.generateTruncated(n1, noi = n2, trunc = i / 50, outImage = True, num = i)
File "/Users/pig/PycharmProjects/StyleGAN2-Tensorflow-2.0/stylegan_two.py", line 567, in generateTruncated
generated_images = self.GAN.GE.predict(w_space + [noi], batch_size = BATCH_SIZE)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py", line 909, in predict
use_multiprocessing=use_multiprocessing)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_arrays.py", line 722, in predict
callbacks=callbacks)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_arrays.py", line 393, in model_iteration
batch_outs = f(ins_batch)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/keras/backend.py", line 3740, in call
outputs = self._graph_fn(*converted_inputs)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/eager/function.py", line 1081, in call
return self._call_impl(args, kwargs)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/eager/function.py", line 1121, in _call_impl
return self._call_flat(args, self.captured_inputs, cancellation_manager)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/eager/function.py", line 1224, in _call_flat
ctx, args, cancellation_manager=cancellation_manager)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/eager/function.py", line 511, in call
ctx=ctx)
File "/Users/pig/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/eager/execute.py", line 67, in quick_execute
six.raise_from(core._status_to_exception(e.code, message), None)
File "", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError: input and filter must have the same depth: 1536 vs 96
[[node conv2d_mod_23/Conv2D (defined at /anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py:1751) ]] [Op:__inference_keras_scratch_graph_20999]

Function call stack:
keras_scratch_graph

[pyrator]

I have this issue too. Note that 1536 is 16 * 96. Could this be an issue with BATCH_SIZE?
So changing BATCH_SIZE to 1 generates images in the Results folder.

[vii33]

tensorflow.python.framework.errors_impl.InvalidArgumentError: input and filter must have the same depth: 1536 vs 96

Same problem here. Changing the batch size to 1 helped solving this issue.

[pyrator]

I ran the section of code to generateTruncated using one of preexisting models, LandscapeBig.zip. This is model 28. I commented out the section to evaluate and train and then amended the model.load parameter to 28. I'm not sure how necessary it is to have your own data in place in the data subfolder as these are for training I believe, but I had used 256 by 256 images. The problem was when I tried to train the code crashes eventually with a GPU (unfortunately it;s only a 1050 Ti) - possibly some sort of GPU memory issue, and it would take an extremely long time with a CPU, which I tried but it looked like it was going to take many days. so here's my snippet of code if __name__ == "__main__": model = StyleGAN(lr = 0.0001, silent = False) #model.evaluate(0) #while model.GAN.steps < 1000001: # model.train() model.load(28) n1 = noiseList(64) n2 = nImage(64) for i in range(50): print(i, end = '\r') model.generateTruncated(n1, noi = n2, trunc = i / 50, outImage = True, num = i)

…

On Sat, 8 Feb 2020 at 14:03, derveit ***@***.***> wrote: tensorflow.python.framework.errors_impl.InvalidArgumentError: input and filter must have the same depth: 1536 vs 96 Same problem here. Changing the batch size to 1 helped solving this issue. Unfortunately there is no output image created. @pyrator <https://github.com/pyrator> : What dimensions and format do your images have? Thanks. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#5?email_source=notifications&email_token=AAUZPLGD32NE5KOHEEJWKBLRB23R3A5CNFSM4KL4GW3KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOELFSPPA#issuecomment-583739324>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAUZPLFXGWCNUINBN7MYMB3RB23R3ANCNFSM4KL4GW3A> .

[gaborvecsei]

Same problem. If you set the batch size to 1 then it works.
But a fix is needed.