From 74dd5905ce26524051b963de5075ead50cb7d112 Mon Sep 17 00:00:00 2001
From: Sergey Lavrushkin <dualfal@gmail.com>
Date: Tue, 29 May 2018 01:20:52 +0300
Subject: [PATCH 2/2] Adds TensorFlow backend for dnn inference module.

---
 Changelog                    |    1 +
 configure                    |    5 +-
 libavfilter/Makefile         |    1 +
 libavfilter/dnn_backend_tf.c |  313 +++++
 libavfilter/dnn_backend_tf.h |   44 +
 libavfilter/dnn_interface.c  |   12 +
 libavfilter/dnn_interface.h  |    2 +-
 libavfilter/dnn_srcnn.h      | 2877 ++++++++++++++++++++++++++++++++++++++++++
 libavfilter/vf_srcnn.c       |    9 +-
 9 files changed, 3261 insertions(+), 3 deletions(-)
 create mode 100644 libavfilter/dnn_backend_tf.c
 create mode 100644 libavfilter/dnn_backend_tf.h

diff --git a/Changelog b/Changelog
index df2024fb59..a667fd045d 100644
--- a/Changelog
+++ b/Changelog
@@ -11,6 +11,7 @@ version <next>:
 - support mbedTLS based TLS
 - DNN inference interface
 - Reimplemented SRCNN filter using DNN inference interface
+- TensorFlow DNN backend
 
 
 version 4.0:
diff --git a/configure b/configure
index 09ff0c55e2..47e21fec39 100755
--- a/configure
+++ b/configure
@@ -259,6 +259,7 @@ External library support:
   --enable-libspeex        enable Speex de/encoding via libspeex [no]
   --enable-libsrt          enable Haivision SRT protocol via libsrt [no]
   --enable-libssh          enable SFTP protocol via libssh [no]
+  --enable-libtensorflow   enable TensorFlow as a DNN module backend [no]
   --enable-libtesseract    enable Tesseract, needed for ocr filter [no]
   --enable-libtheora       enable Theora encoding via libtheora [no]
   --enable-libtls          enable LibreSSL (via libtls), needed for https support
@@ -1713,6 +1714,7 @@ EXTERNAL_LIBRARY_LIST="
     libspeex
     libsrt
     libssh
+    libtensorflow
     libtesseract
     libtheora
     libtwolame
@@ -3453,7 +3455,7 @@ avcodec_select="null_bsf"
 avdevice_deps="avformat avcodec avutil"
 avdevice_suggest="libm"
 avfilter_deps="avutil"
-avfilter_suggest="libm"
+avfilter_suggest="libm libtensorflow"
 avformat_deps="avcodec avutil"
 avformat_suggest="libm network zlib"
 avresample_deps="avutil"
@@ -6055,6 +6057,7 @@ enabled libsoxr           && require libsoxr soxr.h soxr_create -lsoxr
 enabled libssh            && require_pkg_config libssh libssh libssh/sftp.h sftp_init
 enabled libspeex          && require_pkg_config libspeex speex speex/speex.h speex_decoder_init
 enabled libsrt            && require_pkg_config libsrt "srt >= 1.2.0" srt/srt.h srt_socket
+enabled libtensorflow     && require libtensorflow tensorflow/c/c_api.h TF_Version -ltensorflow && add_cflags -DTENSORFLOW_BACKEND
 enabled libtesseract      && require_pkg_config libtesseract tesseract tesseract/capi.h TessBaseAPICreate
 enabled libtheora         && require libtheora theora/theoraenc.h th_info_init -ltheoraenc -ltheoradec -logg
 enabled libtls            && require_pkg_config libtls libtls tls.h tls_configure
diff --git a/libavfilter/Makefile b/libavfilter/Makefile
index 3201cbeacf..82915e2f75 100644
--- a/libavfilter/Makefile
+++ b/libavfilter/Makefile
@@ -14,6 +14,7 @@ OBJS = allfilters.o                                                     \
        buffersrc.o                                                      \
        dnn_interface.o                                                  \
        dnn_backend_native.o                                             \
+       dnn_backend_tf.o                                                 \
        drawutils.o                                                      \
        fifo.o                                                           \
        formats.o                                                        \
diff --git a/libavfilter/dnn_backend_tf.c b/libavfilter/dnn_backend_tf.c
new file mode 100644
index 0000000000..1930589e41
--- /dev/null
+++ b/libavfilter/dnn_backend_tf.c
@@ -0,0 +1,313 @@
+/*
+ * Copyright (c) 2018 Sergey Lavrushkin
+ *
+ * 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 Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * DNN tensorflow backend implementation.
+ */
+
+#ifdef TENSORFLOW_BACKEND
+
+#include "dnn_backend_tf.h"
+#include "dnn_srcnn.h"
+#include "libavformat/avio.h"
+
+#include <tensorflow/c/c_api.h>
+
+typedef struct TFModel{
+    TF_Graph* graph;
+    TF_Session* session;
+    TF_Status* status;
+    TF_Output input, output;
+    TF_Tensor* input_tensor;
+    TF_Tensor* output_tensor;
+    const DNNData* input_data;
+    const DNNData* output_data;
+} TFModel;
+
+static void free_buffer(void* data, size_t length)
+{
+    av_freep(&data);
+}
+
+static TF_Buffer* read_graph(const char* model_filename)
+{
+    TF_Buffer* graph_buf;
+    unsigned char* graph_data = NULL;
+    AVIOContext* model_file_context;
+    long size, bytes_read;
+
+    if (avio_open(&model_file_context, model_filename, AVIO_FLAG_READ) < 0){
+        return NULL;
+    }
+
+    size = avio_size(model_file_context);
+
+    graph_data = av_malloc(size);
+    if (!graph_data){
+        avio_closep(&model_file_context);
+        return NULL;
+    }
+    bytes_read = avio_read(model_file_context, graph_data, size);
+    avio_closep(&model_file_context);
+    if (bytes_read != size){
+        av_freep(&graph_data);
+        return NULL;
+    }
+
+    graph_buf = TF_NewBuffer();
+    graph_buf->data = (void*)graph_data;
+    graph_buf->length = size;
+    graph_buf->data_deallocator = free_buffer;
+
+    return graph_buf;
+}
+
+static DNNReturnType set_input_output_tf(void* model, const DNNData* input, const DNNData* output)
+{
+    TFModel* tf_model = (TFModel*)model;
+    int64_t input_dims[] = {1, input->height, input->width, input->channels};
+    int64_t output_dims[] = {1, output->height, output->width, output->channels};
+    TF_SessionOptions* sess_opts;
+    const TF_Operation* init_op = TF_GraphOperationByName(tf_model->graph, "init");
+
+    // Input operation should be named 'x'
+    tf_model->input.oper = TF_GraphOperationByName(tf_model->graph, "x");
+    if (!tf_model->input.oper){
+        return DNN_ERROR;
+    }
+    tf_model->input.index = 0;
+    if (tf_model->input_tensor){
+        TF_DeleteTensor(tf_model->input_tensor);
+    }
+    tf_model->input_tensor = TF_AllocateTensor(TF_FLOAT, input_dims, 4,
+                                               input_dims[1] * input_dims[2] * input_dims[3] * sizeof(float));
+    if (!tf_model->input_tensor){
+        return DNN_ERROR;
+    }
+
+    // Output operation should be named 'y'
+    tf_model->output.oper = TF_GraphOperationByName(tf_model->graph, "y");
+    if (!tf_model->output.oper){
+        return DNN_ERROR;
+    }
+    tf_model->output.index = 0;
+    if (tf_model->output_tensor){
+        TF_DeleteTensor(tf_model->output_tensor);
+    }
+    tf_model->output_tensor = TF_AllocateTensor(TF_FLOAT, output_dims, 4,
+                                                output_dims[1] * output_dims[2] * output_dims[3] * sizeof(float));
+    if (!tf_model->output_tensor){
+        return DNN_ERROR;
+    }
+
+    tf_model->input_data = input;
+    tf_model->output_data = output;
+
+    if (tf_model->session){
+        TF_CloseSession(tf_model->session, tf_model->status);
+        TF_DeleteSession(tf_model->session, tf_model->status);
+    }
+
+    sess_opts = TF_NewSessionOptions();
+    tf_model->session = TF_NewSession(tf_model->graph, sess_opts, tf_model->status);
+    TF_DeleteSessionOptions(sess_opts);
+    if (TF_GetCode(tf_model->status) != TF_OK)
+    {
+        return DNN_ERROR;
+    }
+
+    // Run initialization operation with name "init" if it is present in graph
+    if (init_op){
+        TF_SessionRun(tf_model->session, NULL,
+                      NULL, NULL, 0,
+                      NULL, NULL, 0,
+                      &init_op, 1, NULL, tf_model->status);
+        if (TF_GetCode(tf_model->status) != TF_OK)
+        {
+            return DNN_ERROR;
+        }
+    }
+
+    return DNN_SUCCESS;
+}
+
+DNNModel* ff_dnn_load_model_tf(const char* model_filename)
+{
+    DNNModel* model = NULL;
+    TFModel* tf_model = NULL;
+    TF_Buffer* graph_def;
+    TF_ImportGraphDefOptions* graph_opts;
+
+    model = av_malloc(sizeof(DNNModel));
+    if (!model){
+        return NULL;
+    }
+
+    tf_model = av_malloc(sizeof(TFModel));
+    if (!tf_model){
+        av_freep(&model);
+        return NULL;
+    }
+    tf_model->session = NULL;
+    tf_model->input_tensor = NULL;
+    tf_model->output_tensor = NULL;
+
+    graph_def = read_graph(model_filename);
+    if (!graph_def){
+        av_freep(&tf_model);
+        av_freep(&model);
+        return NULL;
+    }
+    tf_model->graph = TF_NewGraph();
+    tf_model->status = TF_NewStatus();
+    graph_opts = TF_NewImportGraphDefOptions();
+    TF_GraphImportGraphDef(tf_model->graph, graph_def, graph_opts, tf_model->status);
+    TF_DeleteImportGraphDefOptions(graph_opts);
+    TF_DeleteBuffer(graph_def);
+    if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteGraph(tf_model->graph);
+        TF_DeleteStatus(tf_model->status);
+        av_freep(&tf_model);
+        av_freep(&model);
+        return NULL;
+    }
+
+    model->model = (void*)tf_model;
+    model->set_input_output = &set_input_output_tf;
+
+    return model;
+}
+
+DNNModel* ff_dnn_load_default_model_tf(DNNDefaultModel model_type)
+{
+    DNNModel* model = NULL;
+    TFModel* tf_model = NULL;
+    TF_Buffer* graph_def;
+    unsigned char* graph_data = NULL;
+    TF_ImportGraphDefOptions* graph_opts;
+
+    graph_def = TF_NewBuffer();
+    switch (model_type){
+    case DNN_SRCNN:
+        graph_data = av_malloc(srcnn_tf_size);
+        if (!graph_data){
+            TF_DeleteBuffer(graph_def);
+            return NULL;
+        }
+        memcpy(graph_data, srcnn_tf_model, srcnn_tf_size);
+        graph_def->data = (void*)graph_data;
+        graph_def->length = srcnn_tf_size;
+        graph_def->data_deallocator = free_buffer;
+        break;
+    default:
+        TF_DeleteBuffer(graph_def);
+        return NULL;
+    }
+
+    model = av_malloc(sizeof(DNNModel));
+    if (!model){
+        TF_DeleteBuffer(graph_def);
+        return NULL;
+    }
+
+    tf_model = av_malloc(sizeof(TFModel));
+    if (!tf_model){
+        TF_DeleteBuffer(graph_def);
+        av_freep(&model);
+        return NULL;
+    }
+    tf_model->session = NULL;
+    tf_model->input_tensor = NULL;
+    tf_model->output_tensor = NULL;
+
+    tf_model->graph = TF_NewGraph();
+    tf_model->status = TF_NewStatus();
+    graph_opts = TF_NewImportGraphDefOptions();
+    TF_GraphImportGraphDef(tf_model->graph, graph_def, graph_opts, tf_model->status);
+    TF_DeleteImportGraphDefOptions(graph_opts);
+    TF_DeleteBuffer(graph_def);
+    if (TF_GetCode(tf_model->status) != TF_OK){
+        TF_DeleteGraph(tf_model->graph);
+        TF_DeleteStatus(tf_model->status);
+        av_freep(&tf_model);
+        av_freep(&model);
+        return NULL;
+    }
+
+    model->model = (void*)tf_model;
+    model->set_input_output = &set_input_output_tf;
+
+    return model;
+}
+
+DNNReturnType ff_dnn_execute_model_tf(const DNNModel* model)
+{
+    TFModel* tf_model = (TFModel*)model->model;
+
+    memcpy(TF_TensorData(tf_model->input_tensor), tf_model->input_data->data,
+           tf_model->input_data->height * tf_model->input_data->width *
+           tf_model->input_data->channels * sizeof(float));
+
+    TF_SessionRun(tf_model->session, NULL,
+                  &tf_model->input, &tf_model->input_tensor, 1,
+                  &tf_model->output, &tf_model->output_tensor, 1,
+                  NULL, 0, NULL, tf_model->status);
+
+    if (TF_GetCode(tf_model->status) != TF_OK){
+        return DNN_ERROR;
+    }
+    else{
+        memcpy(tf_model->output_data->data, TF_TensorData(tf_model->output_tensor),
+           tf_model->output_data->height * tf_model->output_data->width *
+           tf_model->output_data->channels * sizeof(float));
+
+        return DNN_SUCCESS;
+    }
+}
+
+void ff_dnn_free_model_tf(DNNModel** model)
+{
+    TFModel* tf_model;
+
+    if (*model){
+        tf_model = (TFModel*)(*model)->model;
+        if (tf_model->graph){
+            TF_DeleteGraph(tf_model->graph);
+        }
+        if (tf_model->session){
+            TF_CloseSession(tf_model->session, tf_model->status);
+            TF_DeleteSession(tf_model->session, tf_model->status);
+        }
+        if (tf_model->status){
+            TF_DeleteStatus(tf_model->status);
+        }
+        if (tf_model->input_tensor){
+            TF_DeleteTensor(tf_model->input_tensor);
+        }
+        if (tf_model->output_tensor){
+            TF_DeleteTensor(tf_model->output_tensor);
+        }
+        av_freep(&tf_model);
+        av_freep(model);
+    }
+}
+
+#endif
diff --git a/libavfilter/dnn_backend_tf.h b/libavfilter/dnn_backend_tf.h
new file mode 100644
index 0000000000..11f6470124
--- /dev/null
+++ b/libavfilter/dnn_backend_tf.h
@@ -0,0 +1,44 @@
+/*
+ * Copyright (c) 2018 Sergey Lavrushkin
+ *
+ * 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 Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * DNN inference functions interface for TensorFlow backend.
+ */
+
+
+#ifndef AVFILTER_DNN_BACKEND_TF_H
+#define AVFILTER_DNN_BACKEND_TF_H
+
+#ifdef TENSORFLOW_BACKEND
+
+#include "dnn_interface.h"
+
+DNNModel* ff_dnn_load_model_tf(const char* model_filename);
+
+DNNModel* ff_dnn_load_default_model_tf(DNNDefaultModel model_type);
+
+DNNReturnType ff_dnn_execute_model_tf(const DNNModel* model);
+
+void ff_dnn_free_model_tf(DNNModel** model);
+
+#endif
+
+#endif
diff --git a/libavfilter/dnn_interface.c b/libavfilter/dnn_interface.c
index e981829b95..c552b938de 100644
--- a/libavfilter/dnn_interface.c
+++ b/libavfilter/dnn_interface.c
@@ -25,6 +25,7 @@
 
 #include "dnn_interface.h"
 #include "dnn_backend_native.h"
+#include "dnn_backend_tf.h"
 #include "libavutil/mem.h"
 
 DNNModule* ff_get_dnn_module(DNNBackendType backend_type)
@@ -42,6 +43,17 @@ DNNModule* ff_get_dnn_module(DNNBackendType backend_type)
         dnn_module->load_default_model = &ff_dnn_load_default_model_native;
         dnn_module->execute_model = &ff_dnn_execute_model_native;
         dnn_module->free_model = &ff_dnn_free_model_native;
+        break;
+    case DNN_TF:
+    #ifdef TENSORFLOW_BACKEND
+        dnn_module->load_model = &ff_dnn_load_model_tf;
+        dnn_module->load_default_model = &ff_dnn_load_default_model_tf;
+        dnn_module->execute_model = &ff_dnn_execute_model_tf;
+        dnn_module->free_model = &ff_dnn_free_model_tf;
+    #else
+        av_freep(dnn_module);
+        return NULL;
+    #endif
     }
 
     return dnn_module;
diff --git a/libavfilter/dnn_interface.h b/libavfilter/dnn_interface.h
index 52e344cee4..fbe038cc3c 100644
--- a/libavfilter/dnn_interface.h
+++ b/libavfilter/dnn_interface.h
@@ -28,7 +28,7 @@
 
 typedef enum {DNN_SUCCESS, DNN_ERROR} DNNReturnType;
 
-typedef enum {DNN_NATIVE} DNNBackendType;
+typedef enum {DNN_NATIVE, DNN_TF} DNNBackendType;
 
 typedef enum {DNN_SRCNN} DNNDefaultModel;
 
diff --git a/libavfilter/dnn_srcnn.h b/libavfilter/dnn_srcnn.h
index e3105e4281..ec7e586a77 100644
--- a/libavfilter/dnn_srcnn.h
+++ b/libavfilter/dnn_srcnn.h
@@ -2077,4 +2077,2881 @@ static const float conv3_biases[] = {
     0.05037664f
 };
 
+static const unsigned long srcnn_tf_size = 34464;
+
+static const unsigned char srcnn_tf_model[] = {
+    0x0A, 0x4C, 0x0A, 0x01, 0x78, 0x12, 0x0B, 0x50, 0x6C, 0x61, 0x63, 0x65,
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+    0xCD, 0x3D, 0x74, 0xE7, 0x49, 0x39, 0xB6, 0x5D, 0xCB, 0x3D, 0xEB, 0xC7,
+    0x27, 0xBE, 0xE9, 0xB6, 0x97, 0x3C, 0x8F, 0x66, 0x01, 0x3A, 0xAA, 0x49,
+    0x3B, 0xBE, 0xD6, 0x52, 0x31, 0xBD, 0xD8, 0x24, 0xB0, 0x3C, 0x93, 0x60,
+    0x9B, 0xBD, 0x3B, 0x80, 0x9B, 0xBC, 0x0D, 0xCE, 0x98, 0xBD, 0xFF, 0xD8,
+    0x32, 0x3D, 0xE0, 0xE8, 0x84, 0xBD, 0x6F, 0x1D, 0x94, 0x3D, 0x00, 0x10,
+    0x92, 0x3E, 0x5E, 0xDC, 0x0B, 0x3D, 0xB1, 0x50, 0xF2, 0x3D, 0x6B, 0xB9,
+    0x32, 0xBD, 0x4B, 0x2E, 0xC1, 0x3C, 0x34, 0xE4, 0x72, 0xBE, 0xA5, 0xF9,
+    0x9F, 0x3C, 0x06, 0xB0, 0xE0, 0x3B, 0x55, 0x04, 0xFA, 0xBE, 0xC7, 0x07,
+    0xA6, 0xBC, 0x49, 0x4A, 0x12, 0x3D, 0xEF, 0x9C, 0x08, 0x3E, 0xD8, 0x94,
+    0x85, 0x3E, 0x2A, 0xDB, 0x68, 0x3D, 0xD8, 0xEF, 0x86, 0xBE, 0x42, 0xE8,
+    0x89, 0xBD, 0xCF, 0xB3, 0x90, 0x3D, 0x2A, 0x09, 0x45, 0x3D, 0xBA, 0xF4,
+    0xFE, 0x3D, 0x90, 0x79, 0x91, 0xBC, 0xFD, 0x5F, 0x2B, 0x3E, 0x33, 0x4B,
+    0x43, 0x3D, 0xD5, 0x8B, 0xF3, 0xB9, 0xC5, 0x1F, 0xE3, 0xBE, 0x67, 0x20,
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+    0x1A, 0x3B, 0x0B, 0xD6, 0x82, 0xB9, 0xA6, 0x8E, 0x9B, 0x3A, 0x14, 0x6E,
+    0x2C, 0x3B, 0xE8, 0xEB, 0xFD, 0x3D, 0x51, 0x5A, 0xC2, 0x38, 0x4D, 0xC5,
+    0xC7, 0x3A, 0x87, 0x12, 0x86, 0xB9, 0xD1, 0x4B, 0xA7, 0x3D, 0x6E, 0x6F,
+    0xAC, 0x3C, 0x2B, 0x0B, 0x95, 0x3E, 0xD4, 0x97, 0x60, 0x3D, 0xC6, 0xC7,
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+    0x36, 0xBE, 0xCB, 0xAA, 0xB3, 0xBC, 0xCE, 0xC6, 0xEA, 0x3C, 0x84, 0x48,
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+    0x66, 0x3E, 0xC9, 0x2E, 0xFC, 0xBC, 0xCA, 0x7C, 0x05, 0xBE, 0x87, 0x51,
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+    0xAA, 0x3D, 0x6F, 0xDD, 0x54, 0x3D, 0xC5, 0x18, 0x4E, 0xBC, 0xB8, 0x79,
+    0xD8, 0x3D, 0xEE, 0xD2, 0x64, 0xBD, 0xBC, 0xCF, 0xC9, 0x3C, 0x6E, 0x74,
+    0xBA, 0x3D, 0xD3, 0x1A, 0x0E, 0x3E, 0x2C, 0xD2, 0x84, 0xBC, 0xC1, 0xFC,
+    0x3C, 0xBD, 0xD9, 0xE8, 0x89, 0xBE, 0x7B, 0x70, 0x68, 0xBA, 0x43, 0xDC,
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+    0x7F, 0x3A, 0x88, 0x2F, 0x0A, 0xBA, 0x7B, 0x9A, 0x4A, 0xBD, 0xAC, 0xB3,
+    0x6A, 0xB8, 0x6D, 0x5E, 0xDA, 0xBD, 0xC5, 0x94, 0xF2, 0x38, 0xC9, 0xDD,
+    0x01, 0xBE, 0x96, 0x3F, 0xB2, 0xBC, 0xC3, 0xDB, 0x08, 0x3E, 0xA5, 0x8B,
+    0xD3, 0x3D, 0x4C, 0x63, 0xD4, 0x39, 0xC8, 0x43, 0x94, 0xBD, 0x75, 0xE3,
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+    0x8A, 0x3A, 0xE8, 0x37, 0x1E, 0x3E, 0x7B, 0xB2, 0xE6, 0x3E, 0x0E, 0xAB,
+    0xAF, 0xBC, 0x11, 0xA2, 0x0F, 0x3A, 0x1E, 0x62, 0x95, 0x3D, 0xB8, 0xDF,
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+    0x6B, 0x12, 0x02, 0x18, 0x09, 0x0A, 0x25, 0x0A, 0x01, 0x79, 0x12, 0x08,
+    0x49, 0x64, 0x65, 0x6E, 0x74, 0x69, 0x74, 0x79, 0x1A, 0x0D, 0x73, 0x74,
+    0x72, 0x69, 0x64, 0x65, 0x64, 0x5F, 0x73, 0x6C, 0x69, 0x63, 0x65, 0x2A,
+    0x07, 0x0A, 0x01, 0x54, 0x12, 0x02, 0x30, 0x01, 0x22, 0x02, 0x08, 0x1A
+};
+
 #endif
diff --git a/libavfilter/vf_srcnn.c b/libavfilter/vf_srcnn.c
index d6efe9b478..d5b6fa0c3d 100644
--- a/libavfilter/vf_srcnn.c
+++ b/libavfilter/vf_srcnn.c
@@ -41,7 +41,6 @@ typedef struct SRCNNContext {
     DNNData input_output;
 } SRCNNContext;
 
-
 #define OFFSET(x) offsetof(SRCNNContext, x)
 #define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
 static const AVOption srcnn_options[] = {
@@ -55,7 +54,15 @@ static av_cold int init(AVFilterContext* context)
 {
     SRCNNContext* srcnn_context = context->priv;
 
+#ifdef TENSORFLOW_BACKEND
+    srcnn_context->dnn_module = ff_get_dnn_module(DNN_TF);
+    if (!srcnn_context->dnn_module){
+        av_log(context, AV_LOG_INFO, "could not load tensorflow backend, using native backend instead\n");
+        srcnn_context->dnn_module = ff_get_dnn_module(DNN_NATIVE);
+    }
+#else
     srcnn_context->dnn_module = ff_get_dnn_module(DNN_NATIVE);
+#endif
     if (!srcnn_context->dnn_module){
         av_log(context, AV_LOG_ERROR, "could not create dnn module\n");
         return AVERROR(ENOMEM);
-- 
2.14.1

