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import tensorflow as tf
import time
with tf.device('/GPU:0'):
img = tf.random.uniform([4, 112, 112, 32])
depthwise_filter = tf.random.uniform([3, 3, 32, 1])
pointwise_filter = tf.random.uniform([1, 1, 32 * 1, 16])
best = None
num_trials = 10
num_iter = 10
for j in range(num_trials):
start = time.time()
for i in range(num_iter):
out = tf.nn.separable_conv2d(
img, depthwise_filter, pointwise_filter,
strides = (1, 1, 1, 1), padding = 'VALID')
end = time.time()
t = (end - start) / num_iter
if not best or t < best: best = t
print('time: {} ms'.format(1000 * best))
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