diff options
author | Guo, Yejun <yejun.guo@intel.com> | 2020-04-11 13:22:24 +0800 |
---|---|---|
committer | Guo, Yejun <yejun.guo@intel.com> | 2020-04-22 13:14:47 +0800 |
commit | ef79408e975057e30d8f4afceaa89702fd5f27da (patch) | |
tree | e0157089f09859d33b1eeb2f5496da35b3213c56 /libavfilter/dnn | |
parent | 17006196a6a51d8a34c41518cc1d17d703f61201 (diff) |
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 'libavfilter/dnn')
-rw-r--r-- | libavfilter/dnn/dnn_backend_native_layer_mathbinary.c | 13 | ||||
-rw-r--r-- | libavfilter/dnn/dnn_backend_native_layer_mathbinary.h | 1 |
2 files changed, 14 insertions, 0 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c index 3fe337f730..222941e952 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c +++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c @@ -120,6 +120,19 @@ int dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_ope } } return 0; + case DMBO_MUL: + if (params->input0_broadcast || params->input1_broadcast) { + for (int i = 0; i < dims_count; ++i) { + dst[i] = params->v * src[i]; + } + } else { + const DnnOperand *input1 = &operands[input_operand_indexes[1]]; + const float *src1 = input1->data; + for (int i = 0; i < dims_count; ++i) { + dst[i] = src[i] * src1[i]; + } + } + return 0; default: return -1; } diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h index 3c5bc6b2e1..d58b48c747 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h +++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.h @@ -33,6 +33,7 @@ typedef enum { DMBO_SUB = 0, DMBO_ADD = 1, + DMBO_MUL = 2, DMBO_COUNT } DNNMathBinaryOperation; |