cfcb1e87038e33d22fa4d8f38ec96c949767ebb7,keras/backend/tensorflow_backend.py,,resize_images,#Any#Any#Any#Any#,265

Before Change

        X = tf.image.resize_nearest_neighbor(X, (new_height, new_width))
        return permute_dimensions(X, [0, 3, 1, 2])
    elif dim_ordering == "tf":
        new_height = shape(X)[1].value * height_factor
        new_width = shape(X)[2].value * width_factor
        return tf.image.resize_nearest_neighbor(X, (new_height, new_width))
    else:
        raise Exception("Invalid dim_ordering: " + dim_ordering)

After Change

        return permute_dimensions(X, [0, 3, 1, 2])
    elif dim_ordering == "tf":
        new_shape = tf.shape(X)[1:3]
        new_shape *= tf.constant(np.array([height_factor, width_factor]).astype("int32"))
        return tf.image.resize_nearest_neighbor(X, new_shape)
    else:
        raise Exception("Invalid dim_ordering: " + dim_ordering)

Instances