I am facing problem in reshaping my tensors. Right now I am running train.py from your source but I got the following error:
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 625, in _run
% (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (100, 4096) for Tensor 'Placeholder:0', which has shape '(?, 262144)'
this is my code snippet
for i in range(6000-1):
batch_xs, batch_ys = speech.train.next_batch(100)
# WTF, tensorflow can't do 3D tensor operations?
# https://github.com/tensorflow/tensorflow/issues/406 =>
batch_xs=[flatten(matrix) for matrix in batch_xs]
#batch_ys = np.reshape(batch_ys, (100,4096))
#batch_xs = np.reshape(batch_xs, (4096,100))
# you have to reshape to flat/matrix data? why didn't they call it matrixflow?
feed = {x: batch_xs, y_: batch_ys}
speech_step.run(feed) # better for encod_entropy too! (later)
if(i%100==0):
print("iteration %d"%i)#, end=' ')
eval(feed)
if((i+1)%7000==0):
print("l_rate*=0.1")
sess.run(tf.assign(l_rate,l_rate*0.1))
print("Train")
I am facing problem in reshaping my tensors. Right now I am running train.py from your source but I got the following error:
this is my code snippet