def init(request):
global initalized
s = ""
if not initalized:
control.initialize()
initalized = True
s = "Initalized."
else:
s = "Already Done."
return HttpResponse(s)
def index(request):
global initalized
s = ""
if not initalized:
control.initialize()
initalized = True
s = "Initalized."
else:
s = "Already Done."
print s
return render_to_response("churchill/join.html", {"game_count": "Zero"})
def main():
mnist = input_data.read_data_sets("../resource")
X, prob, loss, ops = control.initialize()
init = tf.global_variables_initializer()
with tf.Session() as sess:
init.run()
for epoch in range(n_epochs):
for iteration in range(mnist.train.num_examples // batch_size):
X_batch, y_batch = mnist.train.next_batch(batch_size)
for j in range(batch_size):
print("Epoch: " + str(epoch) + ", batch: " +
str(iteration) + ", iteration: " + str(j))
input = np.reshape(X_batch[j], (1, 784))
sess.run(ops, feed_dict={X: input})
input = np.reshape(X_batch[0], (1, 784))
energy = loss.eval(feed_dict={X: input})
probability = prob.eval(feed_dict={X: input})
print(probability.shape)
save_path = saver.save(sess, "./my_model_final.ckpt")
"""
This is a small audio/visualization tool. It creates two
animated graphs and an audio the_sig.
"""
import control
PARAMS = {
"LEN_TRACE_VIS": 256, # How much of trace to show
"LEN_TRACE_WIN": 30, # Size of the FFT window
"SPEC_MAX_TIME": 50, # Time to show on spectrogram
"SPREAD": 20, # Distance between spec lines
"LWR_BND": -1, # Bottom of trace graph
}
assert PARAMS["LEN_TRACE_VIS"] > 0
assert PARAMS["LEN_TRACE_WIN"] > 0
assert PARAMS["SPEC_MAX_TIME"] > 0
assert PARAMS["LEN_TRACE_WIN"] <= PARAMS["LEN_TRACE_VIS"]
# Prep animation.
control.initialize(PARAMS)
# Kickoff.
control.run()
"""
This is a small audio/visualization tool. It creates two
animated graphs and an audio the_sig.
"""
import control
PARAMS = {
'LEN_TRACE_VIS': 256, #How much of trace to show
'LEN_TRACE_WIN': 30, #Size of the FFT window
'SPEC_MAX_TIME': 50, #Time to show on spectrogram
'SPREAD': 20, #Distance between spec lines
'LWR_BND': -1 #Bottom of trace graph
}
assert PARAMS['LEN_TRACE_VIS'] > 0
assert PARAMS['LEN_TRACE_WIN'] > 0
assert PARAMS['SPEC_MAX_TIME'] > 0
assert PARAMS['LEN_TRACE_WIN'] <= PARAMS['LEN_TRACE_VIS']
#Prep animation.
control.initialize(PARAMS)
#Kickoff.
control.run()
