ValueError: Cannot feed value of shape (16, 188) ...

[marymirzaei]

I have trained the model on LJ Speech for around 670k steps. When using python synthesize.py command I have received this error.

Graph loaded
2018-04-25 19:19:45.131340: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-04-25 19:19:45.188585: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-04-25 19:19:45.188789: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: 
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6705
pciBusID: 0000:01:00.0
totalMemory: 10.91GiB freeMemory: 114.62MiB
2018-04-25 19:19:45.188802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-04-25 19:19:45.189340: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 114.62M (120193024 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
Restored!
  0%|                                                   | 0/200 [00:00<?, ?it/s]Exception KeyError: KeyError(<weakref at 0x7fc729ad8100; to 'tqdm' at 0x7fc729b2e350>,) in <bound method tqdm.__del__ of   0%|                                                   | 0/200 [00:00<?, ?it/s]> ignored
Traceback (most recent call last):
  File "synthesize.py", line 69, in <module>
    synthesize()
  File "synthesize.py", line 59, in synthesize
    _y_hat = sess.run(g.y_hat, {g.x: texts, g.y: y_hat, g.ref: ref})
  File "/home/m/anaconda3/envs/ttse/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 889, in run
    run_metadata_ptr)
  File "/home/m/anaconda3/envs/ttse/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1096, in _run
    % (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (16, 188) for Tensor u'Placeholder:0', which has shape '(32, 188)'

Can you suggest any solution?

[reidsanders]

Which commit are you on? PR #3 should have fixed the shape mismatch and was merged. The issue is the refs, texts, and batch needed to all be set to the same length. Alternatively You could manually set batch size to 16 in this case.

[marymirzaei]

I updated the file and the problem was solved. Thanks!