Re: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data

2021-04-29 Thread lance . lmwang
On Thu, Apr 29, 2021 at 12:20:17PM +, Guo, Yejun wrote:
> 
> 
> > -Original Message-
> > From: ffmpeg-devel  On Behalf Of
> > lance.lmw...@gmail.com
> > Sent: 2021年4月28日 21:17
> > To: ffmpeg-devel@ffmpeg.org
> > Subject: Re: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf:
> > simplify the code with ff_hex_to_data
> > 
> > On Wed, Apr 28, 2021 at 12:26:54PM +, Guo, Yejun wrote:
> > >
> > >
> > > > -Original Message-
> > > > From: ffmpeg-devel  On Behalf Of
> > > > lance.lmw...@gmail.com
> > > > Sent: 2021年4月28日 18:47
> > > > To: ffmpeg-devel@ffmpeg.org
> > > > Cc: Limin Wang 
> > > > Subject: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf:
> > > > simplify the code with ff_hex_to_data
> > > >
> > > > From: Limin Wang 
> > > >
> > > > please use tools/python/tf_sess_config.py to get the sess_config after
> > that.
> > > > note the byte order of session config is in normal order.
> > > > bump the MICRO version for the config change.
> > > >
> > > > Signed-off-by: Limin Wang 
> > > > ---
> > > >  libavfilter/dnn/dnn_backend_tf.c | 42 
> > > > +++--
> > > >  libavfilter/version.h|  2 +-
> > > >  tools/python/tf_sess_config.py   | 45
> > > > 
> > > >  3 files changed, 54 insertions(+), 35 deletions(-)
> > > >  create mode 100644 tools/python/tf_sess_config.py
> > > >
> > > > diff --git a/libavfilter/dnn/dnn_backend_tf.c
> > > > b/libavfilter/dnn/dnn_backend_tf.c
> > > > index fb799d2..076dd3d 100644
> > > > --- a/libavfilter/dnn/dnn_backend_tf.c
> > > > +++ b/libavfilter/dnn/dnn_backend_tf.c
> > > > @@ -28,6 +28,7 @@
> > > >  #include "dnn_backend_native_layer_conv2d.h"
> > > >  #include "dnn_backend_native_layer_depth2space.h"
> > > >  #include "libavformat/avio.h"
> > > > +#include "libavformat/internal.h"
> > > >  #include "libavutil/avassert.h"
> > > >  #include "../internal.h"
> > > >  #include "dnn_backend_native_layer_pad.h"
> > > > @@ -206,53 +207,26 @@ static DNNReturnType load_tf_model(TFModel
> > > > *tf_model, const char *model_filename
> > > >
> > > >  // prepare the sess config data
> > > >  if (tf_model->ctx.options.sess_config != NULL) {
> > > > +const char *config;
> > > >  /*
> > > >  tf_model->ctx.options.sess_config is hex to present the
> > serialized
> > > > proto
> > > >  required by TF_SetConfig below, so we need to first generate
> > the
> > > > serialized
> > > > -proto in a python script, the following is a script example to
> > > > generate
> > > > -serialized proto which specifies one GPU, we can change the
> > script
> > > > to add
> > > > -more options.
> > > > -
> > > > -import tensorflow as tf
> > > > -gpu_options = tf.GPUOptions(visible_device_list='0')
> > > > -config = tf.ConfigProto(gpu_options=gpu_options)
> > > > -s = config.SerializeToString()
> > > > -b = ''.join("%02x" % int(ord(b)) for b in s[::-1])
> > > > -print('0x%s' % b)
> > > > -
> > > > -the script output looks like: 0xab...cd, and then pass 
> > > > 0xab...cd to
> > > > sess_config.
> > > > +proto in a python script, tools/python/tf_sess_config.py is a
> > script
> > > > example
> > > > +to generate the configs of sess_config.
> > > >  */
> > > > -char tmp[3];
> > > > -tmp[2] = '\0';
> > > > -
> > > >  if (strncmp(tf_model->ctx.options.sess_config, "0x", 2) != 0) {
> > > >  av_log(ctx, AV_LOG_ERROR, "sess_config should start with
> > > > '0x'\n");
> > > >  return DNN_ERROR;
> > > >  }
> > > > +config = tf_model->ctx.options.sess_config + 2;
> > > > +sess_config_length = ff_h

Re: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data

2021-04-29 Thread Guo, Yejun


> -Original Message-
> From: ffmpeg-devel  On Behalf Of
> lance.lmw...@gmail.com
> Sent: 2021年4月28日 21:17
> To: ffmpeg-devel@ffmpeg.org
> Subject: Re: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf:
> simplify the code with ff_hex_to_data
> 
> On Wed, Apr 28, 2021 at 12:26:54PM +, Guo, Yejun wrote:
> >
> >
> > > -Original Message-
> > > From: ffmpeg-devel  On Behalf Of
> > > lance.lmw...@gmail.com
> > > Sent: 2021年4月28日 18:47
> > > To: ffmpeg-devel@ffmpeg.org
> > > Cc: Limin Wang 
> > > Subject: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf:
> > > simplify the code with ff_hex_to_data
> > >
> > > From: Limin Wang 
> > >
> > > please use tools/python/tf_sess_config.py to get the sess_config after
> that.
> > > note the byte order of session config is in normal order.
> > > bump the MICRO version for the config change.
> > >
> > > Signed-off-by: Limin Wang 
> > > ---
> > >  libavfilter/dnn/dnn_backend_tf.c | 42 
> > > +++--
> > >  libavfilter/version.h|  2 +-
> > >  tools/python/tf_sess_config.py   | 45
> > > 
> > >  3 files changed, 54 insertions(+), 35 deletions(-)
> > >  create mode 100644 tools/python/tf_sess_config.py
> > >
> > > diff --git a/libavfilter/dnn/dnn_backend_tf.c
> > > b/libavfilter/dnn/dnn_backend_tf.c
> > > index fb799d2..076dd3d 100644
> > > --- a/libavfilter/dnn/dnn_backend_tf.c
> > > +++ b/libavfilter/dnn/dnn_backend_tf.c
> > > @@ -28,6 +28,7 @@
> > >  #include "dnn_backend_native_layer_conv2d.h"
> > >  #include "dnn_backend_native_layer_depth2space.h"
> > >  #include "libavformat/avio.h"
> > > +#include "libavformat/internal.h"
> > >  #include "libavutil/avassert.h"
> > >  #include "../internal.h"
> > >  #include "dnn_backend_native_layer_pad.h"
> > > @@ -206,53 +207,26 @@ static DNNReturnType load_tf_model(TFModel
> > > *tf_model, const char *model_filename
> > >
> > >  // prepare the sess config data
> > >  if (tf_model->ctx.options.sess_config != NULL) {
> > > +const char *config;
> > >  /*
> > >  tf_model->ctx.options.sess_config is hex to present the
> serialized
> > > proto
> > >  required by TF_SetConfig below, so we need to first generate
> the
> > > serialized
> > > -proto in a python script, the following is a script example to
> > > generate
> > > -serialized proto which specifies one GPU, we can change the
> script
> > > to add
> > > -more options.
> > > -
> > > -import tensorflow as tf
> > > -gpu_options = tf.GPUOptions(visible_device_list='0')
> > > -config = tf.ConfigProto(gpu_options=gpu_options)
> > > -s = config.SerializeToString()
> > > -b = ''.join("%02x" % int(ord(b)) for b in s[::-1])
> > > -print('0x%s' % b)
> > > -
> > > -the script output looks like: 0xab...cd, and then pass 0xab...cd 
> > > to
> > > sess_config.
> > > +proto in a python script, tools/python/tf_sess_config.py is a
> script
> > > example
> > > +to generate the configs of sess_config.
> > >  */
> > > -char tmp[3];
> > > -tmp[2] = '\0';
> > > -
> > >  if (strncmp(tf_model->ctx.options.sess_config, "0x", 2) != 0) {
> > >  av_log(ctx, AV_LOG_ERROR, "sess_config should start with
> > > '0x'\n");
> > >  return DNN_ERROR;
> > >  }
> > > +config = tf_model->ctx.options.sess_config + 2;
> > > +sess_config_length = ff_hex_to_data(NULL, config);
> > >
> > > -sess_config_length = strlen(tf_model->ctx.options.sess_config);
> > > -if (sess_config_length % 2 != 0) {
> > > -av_log(ctx, AV_LOG_ERROR, "the length of sess_config is
> not
> > > even (%s), "
> > > -  "please re-generate the
> > > config.\n",
> > > -
> > > tf_model->ctx.options.sess_config);
> > > -return DNN_ERROR;
> > > -}
> > > -
> > > -sess_config_length -= 2; //ignore the first '0x'
> > > -sess_config_length /= 2; //get the data length in byte
> > > -
> > > -sess_config = av_malloc(sess_config_length);
> > > +sess_config = av_mallocz(sess_config_length +
> > > AV_INPUT_BUFFER_PADDING_SIZE);
> >
> > just get a concern, why we need to add PADDING_SIZE here.
> > Will there be potential issue if not add?
> 
> I just want to make sure it's safe even if the sess_config_length is zero.
> 
ok, will push soon.
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Re: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data

2021-04-28 Thread lance . lmwang
On Wed, Apr 28, 2021 at 12:26:54PM +, Guo, Yejun wrote:
> 
> 
> > -Original Message-
> > From: ffmpeg-devel  On Behalf Of
> > lance.lmw...@gmail.com
> > Sent: 2021年4月28日 18:47
> > To: ffmpeg-devel@ffmpeg.org
> > Cc: Limin Wang 
> > Subject: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf:
> > simplify the code with ff_hex_to_data
> > 
> > From: Limin Wang 
> > 
> > please use tools/python/tf_sess_config.py to get the sess_config after that.
> > note the byte order of session config is in normal order.
> > bump the MICRO version for the config change.
> > 
> > Signed-off-by: Limin Wang 
> > ---
> >  libavfilter/dnn/dnn_backend_tf.c | 42 +++--
> >  libavfilter/version.h|  2 +-
> >  tools/python/tf_sess_config.py   | 45
> > 
> >  3 files changed, 54 insertions(+), 35 deletions(-)
> >  create mode 100644 tools/python/tf_sess_config.py
> > 
> > diff --git a/libavfilter/dnn/dnn_backend_tf.c
> > b/libavfilter/dnn/dnn_backend_tf.c
> > index fb799d2..076dd3d 100644
> > --- a/libavfilter/dnn/dnn_backend_tf.c
> > +++ b/libavfilter/dnn/dnn_backend_tf.c
> > @@ -28,6 +28,7 @@
> >  #include "dnn_backend_native_layer_conv2d.h"
> >  #include "dnn_backend_native_layer_depth2space.h"
> >  #include "libavformat/avio.h"
> > +#include "libavformat/internal.h"
> >  #include "libavutil/avassert.h"
> >  #include "../internal.h"
> >  #include "dnn_backend_native_layer_pad.h"
> > @@ -206,53 +207,26 @@ static DNNReturnType load_tf_model(TFModel
> > *tf_model, const char *model_filename
> > 
> >  // prepare the sess config data
> >  if (tf_model->ctx.options.sess_config != NULL) {
> > +const char *config;
> >  /*
> >  tf_model->ctx.options.sess_config is hex to present the serialized
> > proto
> >  required by TF_SetConfig below, so we need to first generate the
> > serialized
> > -proto in a python script, the following is a script example to
> > generate
> > -serialized proto which specifies one GPU, we can change the script
> > to add
> > -more options.
> > -
> > -import tensorflow as tf
> > -gpu_options = tf.GPUOptions(visible_device_list='0')
> > -config = tf.ConfigProto(gpu_options=gpu_options)
> > -s = config.SerializeToString()
> > -b = ''.join("%02x" % int(ord(b)) for b in s[::-1])
> > -print('0x%s' % b)
> > -
> > -the script output looks like: 0xab...cd, and then pass 0xab...cd to
> > sess_config.
> > +proto in a python script, tools/python/tf_sess_config.py is a 
> > script
> > example
> > +to generate the configs of sess_config.
> >  */
> > -char tmp[3];
> > -tmp[2] = '\0';
> > -
> >  if (strncmp(tf_model->ctx.options.sess_config, "0x", 2) != 0) {
> >  av_log(ctx, AV_LOG_ERROR, "sess_config should start with
> > '0x'\n");
> >  return DNN_ERROR;
> >  }
> > +config = tf_model->ctx.options.sess_config + 2;
> > +sess_config_length = ff_hex_to_data(NULL, config);
> > 
> > -sess_config_length = strlen(tf_model->ctx.options.sess_config);
> > -if (sess_config_length % 2 != 0) {
> > -av_log(ctx, AV_LOG_ERROR, "the length of sess_config is not
> > even (%s), "
> > -  "please re-generate the
> > config.\n",
> > -
> > tf_model->ctx.options.sess_config);
> > -return DNN_ERROR;
> > -}
> > -
> > -sess_config_length -= 2; //ignore the first '0x'
> > -sess_config_length /= 2; //get the data length in byte
> > -
> > -sess_config = av_malloc(sess_config_length);
> > +sess_config = av_mallocz(sess_config_length +
> > AV_INPUT_BUFFER_PADDING_SIZE);
> 
> just get a concern, why we need to add PADDING_SIZE here.
> Will there be potential issue if not add?

I just want to make sure it's safe even if the sess_config_length is zero.



> 
> >  if (!sess_config) {
> >  av_log(ctx, AV_LOG_ERROR, "failed to allocate memory\n");
> >  return DNN_ERROR;
> >  }
> 

Re: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data

2021-04-28 Thread Guo, Yejun


> -Original Message-
> From: ffmpeg-devel  On Behalf Of
> lance.lmw...@gmail.com
> Sent: 2021年4月28日 18:47
> To: ffmpeg-devel@ffmpeg.org
> Cc: Limin Wang 
> Subject: [FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf:
> simplify the code with ff_hex_to_data
> 
> From: Limin Wang 
> 
> please use tools/python/tf_sess_config.py to get the sess_config after that.
> note the byte order of session config is in normal order.
> bump the MICRO version for the config change.
> 
> Signed-off-by: Limin Wang 
> ---
>  libavfilter/dnn/dnn_backend_tf.c | 42 +++--
>  libavfilter/version.h|  2 +-
>  tools/python/tf_sess_config.py   | 45
> 
>  3 files changed, 54 insertions(+), 35 deletions(-)
>  create mode 100644 tools/python/tf_sess_config.py
> 
> diff --git a/libavfilter/dnn/dnn_backend_tf.c
> b/libavfilter/dnn/dnn_backend_tf.c
> index fb799d2..076dd3d 100644
> --- a/libavfilter/dnn/dnn_backend_tf.c
> +++ b/libavfilter/dnn/dnn_backend_tf.c
> @@ -28,6 +28,7 @@
>  #include "dnn_backend_native_layer_conv2d.h"
>  #include "dnn_backend_native_layer_depth2space.h"
>  #include "libavformat/avio.h"
> +#include "libavformat/internal.h"
>  #include "libavutil/avassert.h"
>  #include "../internal.h"
>  #include "dnn_backend_native_layer_pad.h"
> @@ -206,53 +207,26 @@ static DNNReturnType load_tf_model(TFModel
> *tf_model, const char *model_filename
> 
>  // prepare the sess config data
>  if (tf_model->ctx.options.sess_config != NULL) {
> +const char *config;
>  /*
>  tf_model->ctx.options.sess_config is hex to present the serialized
> proto
>  required by TF_SetConfig below, so we need to first generate the
> serialized
> -proto in a python script, the following is a script example to
> generate
> -serialized proto which specifies one GPU, we can change the script
> to add
> -more options.
> -
> -import tensorflow as tf
> -gpu_options = tf.GPUOptions(visible_device_list='0')
> -config = tf.ConfigProto(gpu_options=gpu_options)
> -s = config.SerializeToString()
> -b = ''.join("%02x" % int(ord(b)) for b in s[::-1])
> -print('0x%s' % b)
> -
> -the script output looks like: 0xab...cd, and then pass 0xab...cd to
> sess_config.
> +proto in a python script, tools/python/tf_sess_config.py is a script
> example
> +to generate the configs of sess_config.
>  */
> -char tmp[3];
> -tmp[2] = '\0';
> -
>  if (strncmp(tf_model->ctx.options.sess_config, "0x", 2) != 0) {
>  av_log(ctx, AV_LOG_ERROR, "sess_config should start with
> '0x'\n");
>  return DNN_ERROR;
>  }
> +config = tf_model->ctx.options.sess_config + 2;
> +sess_config_length = ff_hex_to_data(NULL, config);
> 
> -sess_config_length = strlen(tf_model->ctx.options.sess_config);
> -if (sess_config_length % 2 != 0) {
> -av_log(ctx, AV_LOG_ERROR, "the length of sess_config is not
> even (%s), "
> -  "please re-generate the
> config.\n",
> -
> tf_model->ctx.options.sess_config);
> -return DNN_ERROR;
> -}
> -
> -sess_config_length -= 2; //ignore the first '0x'
> -sess_config_length /= 2; //get the data length in byte
> -
> -sess_config = av_malloc(sess_config_length);
> +sess_config = av_mallocz(sess_config_length +
> AV_INPUT_BUFFER_PADDING_SIZE);

just get a concern, why we need to add PADDING_SIZE here.
Will there be potential issue if not add?

>  if (!sess_config) {
>  av_log(ctx, AV_LOG_ERROR, "failed to allocate memory\n");
>  return DNN_ERROR;
>  }
> -
> -for (int i = 0; i < sess_config_length; i++) {
> -int index = 2 + (sess_config_length - 1 - i) * 2;
> -tmp[0] = tf_model->ctx.options.sess_config[index];
> -tmp[1] = tf_model->ctx.options.sess_config[index + 1];
> -sess_config[i] = strtol(tmp, NULL, 16);
> -}
> +ff_hex_to_data(sess_config, config);
>  }
> 

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[FFmpeg-devel] [PATCH v3 1/2] avfilter/dnn/dnn_backend_tf: simplify the code with ff_hex_to_data

2021-04-28 Thread lance . lmwang
From: Limin Wang 

please use tools/python/tf_sess_config.py to get the sess_config after that.
note the byte order of session config is in normal order.
bump the MICRO version for the config change.

Signed-off-by: Limin Wang 
---
 libavfilter/dnn/dnn_backend_tf.c | 42 +++--
 libavfilter/version.h|  2 +-
 tools/python/tf_sess_config.py   | 45 
 3 files changed, 54 insertions(+), 35 deletions(-)
 create mode 100644 tools/python/tf_sess_config.py

diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
index fb799d2..076dd3d 100644
--- a/libavfilter/dnn/dnn_backend_tf.c
+++ b/libavfilter/dnn/dnn_backend_tf.c
@@ -28,6 +28,7 @@
 #include "dnn_backend_native_layer_conv2d.h"
 #include "dnn_backend_native_layer_depth2space.h"
 #include "libavformat/avio.h"
+#include "libavformat/internal.h"
 #include "libavutil/avassert.h"
 #include "../internal.h"
 #include "dnn_backend_native_layer_pad.h"
@@ -206,53 +207,26 @@ static DNNReturnType load_tf_model(TFModel *tf_model, 
const char *model_filename
 
 // prepare the sess config data
 if (tf_model->ctx.options.sess_config != NULL) {
+const char *config;
 /*
 tf_model->ctx.options.sess_config is hex to present the serialized 
proto
 required by TF_SetConfig below, so we need to first generate the 
serialized
-proto in a python script, the following is a script example to generate
-serialized proto which specifies one GPU, we can change the script to 
add
-more options.
-
-import tensorflow as tf
-gpu_options = tf.GPUOptions(visible_device_list='0')
-config = tf.ConfigProto(gpu_options=gpu_options)
-s = config.SerializeToString()
-b = ''.join("%02x" % int(ord(b)) for b in s[::-1])
-print('0x%s' % b)
-
-the script output looks like: 0xab...cd, and then pass 0xab...cd to 
sess_config.
+proto in a python script, tools/python/tf_sess_config.py is a script 
example
+to generate the configs of sess_config.
 */
-char tmp[3];
-tmp[2] = '\0';
-
 if (strncmp(tf_model->ctx.options.sess_config, "0x", 2) != 0) {
 av_log(ctx, AV_LOG_ERROR, "sess_config should start with '0x'\n");
 return DNN_ERROR;
 }
+config = tf_model->ctx.options.sess_config + 2;
+sess_config_length = ff_hex_to_data(NULL, config);
 
-sess_config_length = strlen(tf_model->ctx.options.sess_config);
-if (sess_config_length % 2 != 0) {
-av_log(ctx, AV_LOG_ERROR, "the length of sess_config is not even 
(%s), "
-  "please re-generate the config.\n",
-  tf_model->ctx.options.sess_config);
-return DNN_ERROR;
-}
-
-sess_config_length -= 2; //ignore the first '0x'
-sess_config_length /= 2; //get the data length in byte
-
-sess_config = av_malloc(sess_config_length);
+sess_config = av_mallocz(sess_config_length + 
AV_INPUT_BUFFER_PADDING_SIZE);
 if (!sess_config) {
 av_log(ctx, AV_LOG_ERROR, "failed to allocate memory\n");
 return DNN_ERROR;
 }
-
-for (int i = 0; i < sess_config_length; i++) {
-int index = 2 + (sess_config_length - 1 - i) * 2;
-tmp[0] = tf_model->ctx.options.sess_config[index];
-tmp[1] = tf_model->ctx.options.sess_config[index + 1];
-sess_config[i] = strtol(tmp, NULL, 16);
-}
+ff_hex_to_data(sess_config, config);
 }
 
 graph_def = read_graph(model_filename);
diff --git a/libavfilter/version.h b/libavfilter/version.h
index 4325551..f12bc87 100644
--- a/libavfilter/version.h
+++ b/libavfilter/version.h
@@ -31,7 +31,7 @@
 
 #define LIBAVFILTER_VERSION_MAJOR   8
 #define LIBAVFILTER_VERSION_MINOR   0
-#define LIBAVFILTER_VERSION_MICRO 100
+#define LIBAVFILTER_VERSION_MICRO 101
 
 
 #define LIBAVFILTER_VERSION_INT AV_VERSION_INT(LIBAVFILTER_VERSION_MAJOR, \
diff --git a/tools/python/tf_sess_config.py b/tools/python/tf_sess_config.py
new file mode 100644
index 000..5705b1a
--- /dev/null
+++ b/tools/python/tf_sess_config.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2021
+#
+# This file is part of FFmpeg.
+#
+# FFmpeg is free software; you can redistribute it and/or
+# modify it under the terms of the GNU Lesser General Public
+# License as published by the Free Software Foundation; either
+# version 2.1 of the License, or (at your option) any later version.
+#
+# FFmpeg is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+# Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with FFmpeg; if not, write to the Free Softwar