Crash in `max_pool3d` when size argument is 0 or negative

Impact The Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative: python import tensorflow as tf poolsize = 2, 2, 0 layer = tf.keras.layers.MaxPooling3Dstrides=1, poolsize=poolsize inputtensor = tf.random.uniform3, 4, 10, 11, 12, dtype=tf.float32 r...