def test_InceptionV1Structure():
n_classes = 10
# model_types = [1, 2, 3, 4]
model_types = [1]
for model_type in model_types:
print(f'test_model_type= {model_type}')
x = tf.placeholder(tf.float32, [None, 128, 128, 3])
net = InceptionV1NetModule(x, n_classes, model_type=model_type)
with elapse_time('build'):
net.build()
x_np = np.random.normal(0, 1, [10, 128, 128, 3])
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
with elapse_time('net proba forward time'):
forward = sess.run(net.proba, feed_dict={x: x_np})
print(forward.shape)
with elapse_time('aux0 proba forward time'):
forward = sess.run(net.aux0_proba, feed_dict={x: x_np})
print(forward.shape)
with elapse_time('aux1 proba forward time'):
forward = sess.run(net.aux1_proba, feed_dict={x: x_np})
print(forward.shape)
def test_ResNet101Structure():
x = tf.placeholder(tf.float32, [None, 128, 128, 3])
n_classes = 10
net = ResNet101Structure(x, n_classes)
with elapse_time('build'):
net.build()
h = net.proba
x_np = np.random.normal(0, 1, [10, 128, 128, 3])
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
with elapse_time('forward time'):
forward = sess.run(h, feed_dict={x: x_np})
print(forward.shape)
def test_NpSharedObj():
shape = [3, 3]
mat = np.ones(shape)
shared_obj = NpSharedObj.from_np(mat)
print(shared_obj.np)
print(f'share memory')
with Pool(processes=1, initializer=init_shared, initargs=(shared_obj.loc, shape,)) as pool:
with elapse_time():
childs = [pool.apply_async(func2, args=(args,)) for args in range(16)]
for child in childs:
a = child.get()
print(a)
print(f'exit')
print(shared_obj.np)
