Example of TF function with dynamic but nonetheless inferrable shapes
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def model_fn_changing_shapes(x): | |
return 2 * x | |
def run_changing_shapes_model(): | |
with tf.Session() as sess: | |
x = tf.placeholder(tf.float32, name='x') | |
result = xla.compile(model_fn_changing_shapes, (x,))[0] | |
a = sess.run(result, feed_dict={x: [1., 2.]}) | |
b = sess.run(result, feed_dict={x: [1., 2., 3.]}) | |
# Prints "a.shape = (2,); b.shape = (3,)" | |
print("a.shape = " + str(a.shape) + "; b.shape = " + str(b.shape)) |
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