• Guo, Yejun's avatar
    dnn/native: add native support for divide · 8ce9d88f
    Guo, Yejun authored
    it can be tested with model file generated with below python script:
    import tensorflow as tf
    import numpy as np
    import imageio
    
    in_img = imageio.imread('input.jpg')
    in_img = in_img.astype(np.float32)/255.0
    in_data = in_img[np.newaxis, :]
    
    x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
    z1 = 2 / x
    z2 = 1 / z1
    z3 = z2 / 0.25 + 0.3
    z4 = z3 - x * 1.5 - 0.3
    y = tf.identity(z4, name='dnn_out')
    
    sess=tf.Session()
    sess.run(tf.global_variables_initializer())
    
    graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
    tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False)
    
    print("image_process.pb generated, please use \
    path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n")
    
    output = sess.run(y, feed_dict={x: in_data})
    imageio.imsave("out.jpg", np.squeeze(output))
    Signed-off-by: 's avatarGuo, Yejun <yejun.guo@intel.com>
    8ce9d88f
convert_from_tensorflow.py 18.2 KB