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author | Guo, Yejun <yejun.guo@intel.com> | 2020-04-11 13:22:24 +0800 |
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committer | Guo, Yejun <yejun.guo@intel.com> | 2020-04-22 13:14:47 +0800 |
commit | ef79408e975057e30d8f4afceaa89702fd5f27da (patch) | |
tree | e0157089f09859d33b1eeb2f5496da35b3213c56 /tools/python | |
parent | 17006196a6a51d8a34c41518cc1d17d703f61201 (diff) | |
download | ffmpeg-ef79408e975057e30d8f4afceaa89702fd5f27da.tar.gz |
dnn/native: add native support for 'mul'
it can be tested with model file generated from above 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 = 0.5 + 0.3 * x
z2 = z1 * 4
z3 = z2 - x - 2.0
y = tf.identity(z3, 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: Guo, Yejun <yejun.guo@intel.com>
Diffstat (limited to 'tools/python')
-rw-r--r-- | tools/python/convert_from_tensorflow.py | 4 | ||||
-rw-r--r-- | tools/python/convert_header.py | 2 |
2 files changed, 4 insertions, 2 deletions
diff --git a/tools/python/convert_from_tensorflow.py b/tools/python/convert_from_tensorflow.py index 9a495c0a9e..dc3b4e381d 100644 --- a/tools/python/convert_from_tensorflow.py +++ b/tools/python/convert_from_tensorflow.py @@ -71,7 +71,7 @@ class TFConverter: self.conv2d_scope_names = set() self.conv2d_scopename_inputname_dict = {} self.op2code = {'Conv2D':1, 'DepthToSpace':2, 'MirrorPad':3, 'Maximum':4, 'MathBinary':5} - self.mathbin2code = {'Sub':0, 'Add':1} + self.mathbin2code = {'Sub':0, 'Add':1, 'Mul':2} self.mirrorpad_mode = {'CONSTANT':0, 'REFLECT':1, 'SYMMETRIC':2} self.name_operand_dict = {} @@ -309,6 +309,8 @@ class TFConverter: self.dump_mathbinary_to_file(node, f) elif node.op == 'Add': self.dump_mathbinary_to_file(node, f) + elif node.op == 'Mul': + self.dump_mathbinary_to_file(node, f) def dump_operands_to_file(self, f): diff --git a/tools/python/convert_header.py b/tools/python/convert_header.py index 70270225f1..87899fe72c 100644 --- a/tools/python/convert_header.py +++ b/tools/python/convert_header.py @@ -23,4 +23,4 @@ str = 'FFMPEGDNNNATIVE' major = 1 # increase minor when we don't have to re-convert the model file -minor = 2 +minor = 3 |