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authorGuo, Yejun <yejun.guo@intel.com>2020-04-11 13:22:24 +0800
committerGuo, Yejun <yejun.guo@intel.com>2020-04-22 13:14:47 +0800
commitef79408e975057e30d8f4afceaa89702fd5f27da (patch)
treee0157089f09859d33b1eeb2f5496da35b3213c56 /tools/python
parent17006196a6a51d8a34c41518cc1d17d703f61201 (diff)
downloadffmpeg-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.py4
-rw-r--r--tools/python/convert_header.py2
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