Adds dnn inference module for simple convolutional networks. Reimplements srcnn filter based on it.

Signed-off-by: Pedro Arthur <bygrandao@gmail.com>

9 files changed, 2680 insertions, 1093 deletions

diff --git a/Changelog b/Changelog
index 3d25564..df2024f 100644
--- a/Changelog
+++ b/Changelog
@@ -9,6 +9,8 @@ version <next>:
 - aderivative and aintegral audio filters
 - pal75bars and pal100bars video filter sources
 - support mbedTLS based TLS
+- DNN inference interface
+- Reimplemented SRCNN filter using DNN inference interface
 
 
 version 4.0:
diff --git a/libavfilter/Makefile b/libavfilter/Makefile
index c68ef05..3201cbe 100644
--- a/libavfilter/Makefile
+++ b/libavfilter/Makefile
@@ -12,6 +12,8 @@ OBJS = allfilters.o                                                     \
        avfiltergraph.o                                                  \
        buffersink.o                                                     \
        buffersrc.o                                                      \
+       dnn_interface.o                                                  \
+       dnn_backend_native.o                                             \
        drawutils.o                                                      \
        fifo.o                                                           \
        formats.o                                                        \
diff --git a/libavfilter/dnn_backend_native.c b/libavfilter/dnn_backend_native.c
new file mode 100644
index 0000000..6e80dd3
--- /dev/null
+++ b/libavfilter/dnn_backend_native.c
@@ -0,0 +1,382 @@
+/*
+ * 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 native backend implementation.
+ */
+
+#include "dnn_backend_native.h"
+#include "dnn_srcnn.h"
+#include "libavformat/avio.h"
+
+typedef enum {INPUT, CONV} LayerType;
+
+typedef struct Layer{
+    LayerType type;
+    float* output;
+    void* params;
+} Layer;
+
+typedef struct ConvolutionalParams{
+    int32_t input_num, output_num, kernel_size;
+    float* kernel;
+    float* biases;
+} ConvolutionalParams;
+
+typedef struct InputParams{
+    int height, width, channels;
+} InputParams;
+
+// Represents simple feed-forward convolutional network.
+typedef struct ConvolutionalNetwork{
+    Layer* layers;
+    int32_t layers_num;
+} ConvolutionalNetwork;
+
+static DNNReturnType set_input_output_native(void* model, const DNNData* input, const DNNData* output)
+{
+    ConvolutionalNetwork* network = (ConvolutionalNetwork*)model;
+    InputParams* input_params;
+    ConvolutionalParams* conv_params;
+    int cur_width, cur_height, cur_channels;
+    int32_t layer;
+
+    if (network->layers_num <= 0 || network->layers[0].type != INPUT){
+        return DNN_ERROR;
+    }
+    else{
+        network->layers[0].output = input->data;
+        input_params = (InputParams*)network->layers[0].params;
+        input_params->width = cur_width = input->width;
+        input_params->height = cur_height = input->height;
+        input_params->channels = cur_channels = input->channels;
+    }
+
+    for (layer = 1; layer < network->layers_num; ++layer){
+        switch (network->layers[layer].type){
+        case CONV:
+            conv_params = (ConvolutionalParams*)network->layers[layer].params;
+            if (conv_params->input_num != cur_channels){
+                return DNN_ERROR;
+            }
+            cur_channels = conv_params->output_num;
+            if (layer < network->layers_num - 1){
+                if (!network->layers[layer].output){
+                    av_freep(&network->layers[layer].output);
+                }
+                network->layers[layer].output = av_malloc(cur_height * cur_width * cur_channels * sizeof(float));
+                if (!network->layers[layer].output){
+                    return DNN_ERROR;
+                }
+            }
+            else{
+                network->layers[layer].output = output->data;
+                if (output->width != cur_width || output->height != cur_height || output->channels != cur_channels){
+                    return DNN_ERROR;
+                }
+            }
+            break;
+        default:
+            return DNN_ERROR;
+        }
+    }
+
+    return DNN_SUCCESS;
+}
+
+// Loads model and its parameters that are stored in a binary file with following structure:
+// layers_num,conv_input_num,conv_output_num,conv_kernel_size,conv_kernel,conv_biases,conv_input_num...
+DNNModel* ff_dnn_load_model_native(const char* model_filename)
+{
+    DNNModel* model = NULL;
+    ConvolutionalNetwork* network = NULL;
+    AVIOContext* model_file_context;
+    int file_size, dnn_size, kernel_size, i;
+    int32_t layer;
+    ConvolutionalParams* conv_params;
+
+    model = av_malloc(sizeof(DNNModel));
+    if (!model){
+        return NULL;
+    }
+
+    if (avio_open(&model_file_context, model_filename, AVIO_FLAG_READ) < 0){
+        av_freep(&model);
+        return NULL;
+    }
+    file_size = avio_size(model_file_context);
+
+    network = av_malloc(sizeof(ConvolutionalNetwork));
+    if (!network){
+        avio_closep(&model_file_context);
+        av_freep(&model);
+        return NULL;
+    }
+    model->model = (void*)network;
+
+    network->layers_num = 1 + (int32_t)avio_rl32(model_file_context);
+    dnn_size = 4;
+
+    network->layers = av_malloc(network->layers_num * sizeof(Layer));
+    if (!network->layers){
+        av_freep(&network);
+        avio_closep(&model_file_context);
+        av_freep(&model);
+        return NULL;
+    }
+
+    for (layer = 0; layer < network->layers_num; ++layer){
+        network->layers[layer].output = NULL;
+        network->layers[layer].params = NULL;
+    }
+    network->layers[0].type = INPUT;
+    network->layers[0].params = av_malloc(sizeof(InputParams));
+    if (!network->layers[0].params){
+        avio_closep(&model_file_context);
+        ff_dnn_free_model_native(&model);
+        return NULL;
+    }
+
+    for (layer = 1; layer < network->layers_num; ++layer){
+        conv_params = av_malloc(sizeof(ConvolutionalParams));
+        if (!conv_params){
+            avio_closep(&model_file_context);
+            ff_dnn_free_model_native(&model);
+            return NULL;
+        }
+        conv_params->input_num = (int32_t)avio_rl32(model_file_context);
+        conv_params->output_num = (int32_t)avio_rl32(model_file_context);
+        conv_params->kernel_size = (int32_t)avio_rl32(model_file_context);
+        kernel_size = conv_params->input_num * conv_params->output_num *
+                      conv_params->kernel_size * conv_params->kernel_size;
+        dnn_size += 12 + (kernel_size + conv_params->output_num << 2);
+        if (dnn_size > file_size || conv_params->input_num <= 0 ||
+            conv_params->output_num <= 0 || conv_params->kernel_size <= 0){
+            avio_closep(&model_file_context);
+            ff_dnn_free_model_native(&model);
+            return NULL;
+        }
+        conv_params->kernel = av_malloc(kernel_size * sizeof(float));
+        conv_params->biases = av_malloc(conv_params->output_num * sizeof(float));
+        if (!conv_params->kernel || !conv_params->biases){
+            avio_closep(&model_file_context);
+            ff_dnn_free_model_native(&model);
+            return NULL;
+        }
+        for (i = 0; i < kernel_size; ++i){
+            conv_params->kernel[i] = av_int2float(avio_rl32(model_file_context));
+        }
+        for (i = 0; i < conv_params->output_num; ++i){
+            conv_params->biases[i] = av_int2float(avio_rl32(model_file_context));
+        }
+        network->layers[layer].type = CONV;
+        network->layers[layer].params = conv_params;
+    }
+
+    avio_closep(&model_file_context);
+
+    if (dnn_size != file_size){
+        ff_dnn_free_model_native(&model);
+        return NULL;
+    }
+
+    model->set_input_output = &set_input_output_native;
+
+    return model;
+}
+
+static int set_up_conv_layer(Layer* layer, const float* kernel, const float* biases, int32_t input_num, int32_t output_num, int32_t size)
+{
+    ConvolutionalParams* conv_params;
+    int kernel_size;
+
+    conv_params = av_malloc(sizeof(ConvolutionalParams));
+    if (!conv_params){
+        return DNN_ERROR;
+    }
+    conv_params->input_num = input_num;
+    conv_params->output_num = output_num;
+    conv_params->kernel_size = size;
+    kernel_size = input_num * output_num * size * size;
+    conv_params->kernel = av_malloc(kernel_size * sizeof(float));
+    conv_params->biases = av_malloc(conv_params->output_num * sizeof(float));
+    if (!conv_params->kernel || !conv_params->biases){
+        av_freep(&conv_params->kernel);
+        av_freep(&conv_params->biases);
+        av_freep(&conv_params);
+        return DNN_ERROR;
+    }
+    memcpy(conv_params->kernel, kernel, kernel_size * sizeof(float));
+    memcpy(conv_params->biases, biases, output_num * sizeof(float));
+    layer->type = CONV;
+    layer->params = conv_params;
+
+    return DNN_SUCCESS;
+}
+
+DNNModel* ff_dnn_load_default_model_native(DNNDefaultModel model_type)
+{
+    DNNModel* model = NULL;
+    ConvolutionalNetwork* network = NULL;
+    int32_t layer;
+
+    model = av_malloc(sizeof(DNNModel));
+    if (!model){
+        return NULL;
+    }
+
+    network = av_malloc(sizeof(ConvolutionalNetwork));
+    if (!network){
+        av_freep(&model);
+        return NULL;
+    }
+    model->model = (void*)network;
+
+    switch (model_type){
+    case DNN_SRCNN:
+        network->layers_num = 4;
+
+        network->layers = av_malloc(network->layers_num * sizeof(Layer));
+        if (!network->layers){
+            av_freep(&network);
+            av_freep(&model);
+            return NULL;
+        }
+
+        for (layer = 0; layer < network->layers_num; ++layer){
+            network->layers[layer].output = NULL;
+            network->layers[layer].params = NULL;
+        }
+        network->layers[0].type = INPUT;
+        network->layers[0].params = av_malloc(sizeof(InputParams));
+        if (!network->layers[0].params){
+            ff_dnn_free_model_native(&model);
+            return NULL;
+        }
+
+        if (set_up_conv_layer(network->layers + 1, conv1_kernel, conv1_biases, 1, 64, 9) != DNN_SUCCESS ||
+            set_up_conv_layer(network->layers + 2, conv2_kernel, conv2_biases, 64, 32, 1) != DNN_SUCCESS ||
+            set_up_conv_layer(network->layers + 3, conv3_kernel, conv3_biases, 32, 1, 5) != DNN_SUCCESS){
+            ff_dnn_free_model_native(&model);
+            return NULL;
+        }
+
+        model->set_input_output = &set_input_output_native;
+
+        return model;
+    default:
+        av_freep(&network);
+        av_freep(&model);
+        return NULL;
+    }
+}
+
+#define CLAMP_TO_EDGE(x, w) ((x) < 0 ? 0 : ((x) >= (w) ? (w - 1) : (x)))
+
+static void convolve(const float* input, float* output, const ConvolutionalParams* conv_params, int32_t width, int32_t height)
+{
+    int y, x, n_filter, ch, kernel_y, kernel_x;
+    int radius = conv_params->kernel_size >> 1;
+    int src_linesize = width * conv_params->input_num;
+    int filter_linesize = conv_params->kernel_size * conv_params->input_num;
+    int filter_size = conv_params->kernel_size * filter_linesize;
+
+    for (y = 0; y < height; ++y){
+        for (x = 0; x < width; ++x){
+            for (n_filter = 0; n_filter < conv_params->output_num; ++n_filter){
+                output[n_filter] = conv_params->biases[n_filter];
+                for (ch = 0; ch < conv_params->input_num; ++ch){
+                    for (kernel_y = 0; kernel_y < conv_params->kernel_size; ++kernel_y){
+                        for (kernel_x = 0; kernel_x < conv_params->kernel_size; ++kernel_x){
+                            output[n_filter] += input[CLAMP_TO_EDGE(y + kernel_y - radius, height) * src_linesize +
+                                                      CLAMP_TO_EDGE(x + kernel_x - radius, width) * conv_params->input_num + ch] *
+                                                conv_params->kernel[n_filter * filter_size + kernel_y * filter_linesize +
+                                                                    kernel_x * conv_params->input_num + ch];
+                        }
+                    }
+                }
+                output[n_filter] = FFMAX(output[n_filter], 0.0);
+            }
+            output += conv_params->output_num;
+        }
+    }
+}
+
+DNNReturnType ff_dnn_execute_model_native(const DNNModel* model)
+{
+    ConvolutionalNetwork* network = (ConvolutionalNetwork*)model->model;
+    InputParams* input_params;
+    int cur_width, cur_height;
+    int32_t layer;
+
+    if (network->layers_num <= 0 || network->layers[0].type != INPUT || !network->layers[0].output){
+        return DNN_ERROR;
+    }
+    else{
+        input_params = (InputParams*)network->layers[0].params;
+        cur_width = input_params->width;
+        cur_height = input_params->height;
+    }
+
+    for (layer = 1; layer < network->layers_num; ++layer){
+        if (!network->layers[layer].output){
+            return DNN_ERROR;
+        }
+        switch (network->layers[layer].type){
+        case CONV:
+            convolve(network->layers[layer - 1].output, network->layers[layer].output, (ConvolutionalParams*)network->layers[layer].params, cur_width, cur_height);
+            break;
+        case INPUT:
+            return DNN_ERROR;
+        }
+    }
+
+    return DNN_SUCCESS;
+}
+
+void ff_dnn_free_model_native(DNNModel** model)
+{
+    ConvolutionalNetwork* network;
+    ConvolutionalParams* conv_params;
+    int32_t layer;
+
+    if (*model)
+    {
+        network = (ConvolutionalNetwork*)(*model)->model;
+        for (layer = 0; layer < network->layers_num; ++layer){
+            switch (network->layers[layer].type){
+            case CONV:
+                if (layer < network->layers_num - 1){
+                    av_freep(&network->layers[layer].output);
+                }
+                conv_params = (ConvolutionalParams*)network->layers[layer].params;
+                av_freep(&conv_params->kernel);
+                av_freep(&conv_params->biases);
+                av_freep(&conv_params);
+                break;
+            case INPUT:
+                av_freep(&network->layers[layer].params);
+            }
+        }
+        av_freep(network);
+        av_freep(model);
+    }
+}
diff --git a/libavfilter/dnn_backend_native.h b/libavfilter/dnn_backend_native.h
new file mode 100644
index 0000000..599c130
--- /dev/null
+++ b/libavfilter/dnn_backend_native.h
@@ -0,0 +1,40 @@
+/*
+ * 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 native backend.
+ */
+
+
+#ifndef AVFILTER_DNN_BACKEND_NATIVE_H
+#define AVFILTER_DNN_BACKEND_NATIVE_H
+
+#include "dnn_interface.h"
+
+DNNModel* ff_dnn_load_model_native(const char* model_filename);
+
+DNNModel* ff_dnn_load_default_model_native(DNNDefaultModel model_type);
+
+DNNReturnType ff_dnn_execute_model_native(const DNNModel* model);
+
+void ff_dnn_free_model_native(DNNModel** model);
+
+#endif
diff --git a/libavfilter/dnn_interface.c b/libavfilter/dnn_interface.c
new file mode 100644
index 0000000..e981829
--- /dev/null
+++ b/libavfilter/dnn_interface.c
@@ -0,0 +1,48 @@
+/*
+ * 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
+ * Implements DNN module initialization with specified backend.
+ */
+
+#include "dnn_interface.h"
+#include "dnn_backend_native.h"
+#include "libavutil/mem.h"
+
+DNNModule* ff_get_dnn_module(DNNBackendType backend_type)
+{
+    DNNModule* dnn_module;
+
+    dnn_module = av_malloc(sizeof(DNNModule));
+    if(!dnn_module){
+        return NULL;
+    }
+
+    switch(backend_type){
+    case DNN_NATIVE:
+        dnn_module->load_model = &ff_dnn_load_model_native;
+        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;
+    }
+
+    return dnn_module;
+}
diff --git a/libavfilter/dnn_interface.h b/libavfilter/dnn_interface.h
new file mode 100644
index 0000000..52e344c
--- /dev/null
+++ b/libavfilter/dnn_interface.h
@@ -0,0 +1,64 @@
+/*
+ * 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 engine interface.
+ */
+
+#ifndef AVFILTER_DNN_INTERFACE_H
+#define AVFILTER_DNN_INTERFACE_H
+
+typedef enum {DNN_SUCCESS, DNN_ERROR} DNNReturnType;
+
+typedef enum {DNN_NATIVE} DNNBackendType;
+
+typedef enum {DNN_SRCNN} DNNDefaultModel;
+
+typedef struct DNNData{
+    float* data;
+    int width, height, channels;
+} DNNData;
+
+
+typedef struct DNNModel{
+    // Stores model that can be different for different backends.
+    void* model;
+    // Sets model input and output, while allocating additional memory for intermediate calculations.
+    // Should be called at least once before model execution.
+    DNNReturnType (*set_input_output)(void* model, const DNNData* input, const DNNData* output);
+} DNNModel;
+
+// Stores pointers to functions for loading, executing, freeing DNN models for one of the backends.
+typedef struct DNNModule{
+    // Loads model and parameters from given file. Returns NULL if it is not possible.
+    DNNModel* (*load_model)(const char* model_filename);
+    // Loads one of the default models
+    DNNModel* (*load_default_model)(DNNDefaultModel model_type);
+    // Executes model with specified input and output. Returns DNN_ERROR otherwise.
+    DNNReturnType (*execute_model)(const DNNModel* model);
+    // Frees memory allocated for model.
+    void (*free_model)(DNNModel** model);
+} DNNModule;
+
+// Initializes DNNModule depending on chosen backend.
+DNNModule* ff_get_dnn_module(DNNBackendType backend_type);
+
+#endif
diff --git a/libavfilter/dnn_srcnn.h b/libavfilter/dnn_srcnn.h
new file mode 100644
index 0000000..e3105e4
--- /dev/null
+++ b/libavfilter/dnn_srcnn.h
@@ -0,0 +1,2080 @@
+/*
+ * 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
+ * Default cnn weights for x2 upsampling with srcnn filter.
+ */
+
+#ifndef AVFILTER_DNN_SRCNN_H
+#define AVFILTER_DNN_SRCNN_H
+
+static const float conv1_kernel[] = {
+    -0.08866338f,     0.055409566f,     0.037196506f,     -0.11961404f,
+    -0.12341991f,     0.29963422f,      -0.0911817f,      -0.00013613555f,
+    -0.049023595f,    0.038421184f,     -0.077267796f,    0.027273094f,
+    0.4576209f,       0.023581645f,     -0.20363852f,     -0.07738442f,
+    0.07288404f,      0.06679897f,      -0.07315085f,     0.2665306f,
+    0.07836371f,      -0.28985283f,     -0.5069129f,      0.04466513f,
+    -0.06246859f,     -0.024424827f,    -0.02907293f,     -0.16884787f,
+    0.20686236f,      -0.25367007f,     -0.384997f,       -0.12601902f,
+    0.72578824f,      0.09588378f,      -0.044872783f,    -0.011251596f,
+    -0.029558526f,    0.2211706f,       -0.38453165f,     -0.053509537f,
+    0.109559156f,     0.37257388f,      -0.28968045f,     -0.10883619f,
+    0.1962879f,       0.09746793f,      -0.005647097f,    -0.13035884f,
+    0.6254252f,       0.19104235f,      -0.011692332f,    -0.2706789f,
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+    -0.056205764f,    0.09791768f,      0.16366638f,      -0.12979919f,
+    0.0027292583f,    0.034145705f,     0.068608135f,     0.06334712f,
+    0.048673455f,     0.07738835f,      -0.0031245176f,   -0.07452564f,
+    -0.20245549f,     0.027065815f,     -0.0021526585f,   0.0511242f,
+    0.15502298f,      0.14651485f,      0.07588487f,      -0.10572951f,
+    -0.067488134f,    -0.19962423f,     0.047433898f,     -0.011952215f,
+    -0.02098195f,     0.16966638f,      0.14325915f,      0.026020855f,
+    -0.00033336115f,  0.06684103f,      -0.117987f,       0.089755684f,
+    0.027904972f,     0.075243816f,     0.2602479f,       0.16163015f,
+    0.0055607497f,    0.018227512f,     0.029731913f,     -0.07488886f,
+    0.10381207f,      0.0014797549f,    0.052478183f,     0.19516547f,
+    0.05121067f,      -0.07954861f,     -0.055953328f,    -0.10098253f,
+    -0.04282565f,     0.12107566f,      0.015420042f,     -0.026093034f,
+    0.099772f,        0.065438636f,     -0.058609657f,    -0.046216577f,
+    -0.024240786f,    0.0035749027f,    0.09980471f,      0.041678235f,
+    -0.047122665f,    0.012449634f,     0.024942646f,     -0.039778136f,
+    0.087724134f,     0.12657014f,      -0.076152004f,    -0.05819194f,
+    -0.09207551f,     -0.050248478f,    0.0848444f,       0.011602652f,
+    -0.066368654f,    0.07597232f,      0.034712225f,     0.11924102f,
+    -0.099075526f,    0.0718425f,       -0.11197687f,     0.07318371f,
+    0.11031657f,      -0.46884447f,     0.09414266f,      -0.14163429f,
+    0.1516352f,       -0.1341206f,      0.11831797f,      0.087420516f,
+    0.015127726f,     0.028304087f,     0.2779788f,       0.042133782f,
+    -0.11278912f,     -0.019549938f,    -0.11386155f,     -0.0007093752f,
+    -0.13948888f,     0.1762304f,       0.2762475f,       -0.24564396f,
+    -0.16273943f,     0.19988434f,      0.029753732f,     0.11769874f,
+    -0.09476194f,     -0.35952422f,     0.08280224f,      0.14039701f,
+    -0.5054993f,      0.3230602f,       -0.09488756f,     0.18297875f,
+    0.021063626f,     -0.10248441f,     0.31057218f,      0.49288955f,
+    -0.06318224f,     -0.53251696f,     0.016925616f,     -0.23778969f,
+    0.22520708f,      -0.28116438f,     -0.25012317f,     0.045585666f,
+    0.21047309f,      0.13688251f,      -0.010493906f,    0.18622957f,
+    -0.06745559f,     0.059422202f,     0.07465879f,      0.1760069f,
+    -0.2439128f,      -0.13952732f,     -0.14145756f,     -0.22604354f,
+    0.040418845f,     0.2511401f,       -0.041464362f,    0.068661585f,
+    0.09363836f,      -0.17196894f,     0.35007256f,      0.14665903f,
+    -0.11697539f,     -0.0873394f,      -0.11872331f,     0.06795469f,
+    -0.19596466f,     0.09043551f,      -0.07781104f,     0.06362947f,
+    -0.04456654f,     -0.1382808f,      0.14513893f,      0.002784174f,
+    0.013198261f,     0.03299566f,      -0.009061453f,    -0.03782085f,
+    0.059055243f,     0.036658123f,     -0.032938365f,    0.007655598f,
+    -0.02654659f,     -0.051362813f,    -0.019685762f,    -0.04363386f,
+    -0.03368953f,     -0.040151592f,    -0.030751372f,    -0.022468425f,
+    0.018601812f,     0.01215805f,      0.015349634f,     0.03493562f,
+    -0.01330295f,     0.0379455f,       -0.0038268114f,   -0.04438376f,
+    -0.076136634f,    0.0149799315f,    0.04360961f,      0.0688512f,
+    0.098810025f,     0.03130221f,      0.12420085f,      0.15065008f,
+    0.079781555f,     -0.027734771f,    -0.053833693f,    -0.06780279f,
+    0.0021823857f,    0.13103488f,      0.056097902f,     0.056191355f,
+    0.0813432f,       0.109182745f,     0.103016764f,     -0.0237583f,
+    -0.08856121f,     -0.030784028f,    0.087375164f,     0.013652729f,
+    0.011638834f,     -0.0060421485f,   0.056429435f,     0.10691829f,
+    0.041128937f,     -0.043404203f,    -0.0025073688f,   0.012957162f,
+    0.01234017f,      0.11861598f,      0.09244049f,      0.03474449f,
+    -0.02489581f,     0.035870664f,     -0.04075868f,     0.013552304f,
+    -0.009587781f,    0.01752828f,      0.07450903f,      0.06924415f,
+    0.0011354148f,    -0.06966305f,     0.008092117f,     0.02915073f,
+    0.043506045f,     -0.039757483f,    0.014310178f,     0.00084354123f,
+    -0.013759381f,    0.026358005f,     0.088238746f,     0.082134426f
+};
+
+static const float conv1_biases[] = {
+    -0.016606892f,    -0.011107335f,    -0.0048309686f,   -0.04867378f,
+    -0.030040957f,    -0.07297248f,     -0.019458665f,    -0.009738028f,
+    0.6951231f,       -0.07369442f,     -0.01354204f,     0.010336088f,
+    -0.02956177f,     0.018691286f,     -0.021675158f,    0.0040888255f,
+    -0.0803309f,      -0.02080248f,     -0.00025044166f,  0.015665635f,
+    -0.024439847f,    -0.00014609392f,  -5.0048184e-05f,  -0.001185404f,
+    -8.3538194e-05f,  0.0f,             -0.00037626884f,  0.02971581f,
+    -9.940329e-05f,   -0.020136558f,    -0.00029498152f,  0.019285819f,
+    0.0055777165f,    -0.07003153f,     -0.024398552f,    -1.772693e-05f,
+    0.0050997124f,    -0.011211924f,    0.004536128f,     -0.024612177f,
+    -0.022535782f,    -0.00016232267f,  -0.00017362963f,  -1.552602e-05f,
+    -0.06559696f,     -0.0065806108f,   6.6839266e-06f,   0.025228953f,
+    -0.0013730666f,   0.03035182f,      0.0f,             0.003285622f,
+    0.0055278814f,    0.020766519f,     -0.008490622f,    0.026332268f,
+    -0.046789873f,    0.010329567f,     -0.02364932f,     0.027851572f,
+    0.054407462f,     -0.08068252f,     -0.009446503f,    -0.04663234f
+};
+
+static const float conv2_kernel[] = {
+    -0.24004751f,     0.1037138f,       0.11173403f,      0.04352092f,
+    -0.23728481f,     0.12153747f,      -0.23676059f,     -0.28548065f,
+    -0.612738f,       -0.12218937f,     -0.06005159f,     0.1850652f,
+    0.16014674f,      0.13922939f,      0.21359426f,      0.10787945f,
+    -0.26999104f,     -0.14241326f,     -0.0013871012f,   -0.004951588f,
+    0.34021696f,      0.00055816956f,   4.7351106e-05f,   0.0037513396f,
+    0.0011569702f,    0.0016541762f,    -0.0011876022f,   0.049887992f,
+    -7.20162e-05f,    -0.17735492f,     0.0011244657f,    -0.22381487f,
+    0.0035836962f,    -0.32106942f,     -0.16167264f,     -0.00079228356f,
+    0.05056063f,      0.21074672f,      0.07716238f,      -0.33156216f,
+    0.06265881f,      0.00025428506f,   -0.0012989661f,   0.00044869471f,
+    -0.41594547f,     -0.019950004f,    0.0002566903f,    0.17913155f,
+    -0.59505045f,     0.32598367f,      0.0013792524f,    -0.0893171f,
+    -0.13066787f,     0.21108511f,      -0.05854454f,     -0.11937838f,
+    0.08559372f,      -0.11413643f,     0.28384048f,      -0.011619674f,
+    0.3210233f,       -0.20085232f,     -0.3413438f,      -0.029155191f,
+    -0.15286806f,     -0.4510034f,      -0.07077684f,     0.1440866f,
+    0.05953074f,      -0.036571715f,    0.38701403f,      -0.12762508f,
+    0.059950776f,     0.005409028f,     0.16427578f,      -0.042501528f,
+    0.03296236f,      -0.19972457f,     -0.2558594f,      -0.054797124f,
+    -0.13352458f,     0.05193127f,      -0.0005906696f,   0.14123854f,
+    -0.0659517f,      0.00025938704f,   0.0004935732f,    0.0018757024f,
+    -0.00041573317f,  0.000612862f,     -0.00082537025f,  0.008750236f,
+    0.00031561358f,   -0.031592708f,    -0.0011055622f,   0.53974074f,
+    0.16837794f,      0.10016078f,      -0.04458074f,     -0.00082082127f,
+    0.14558496f,      0.053703558f,     0.39986718f,      0.36513358f,
+    -6.220485e-05f,   -0.0015507897f,   0.00019759317f,   0.0014775719f,
+    0.1719912f,       0.20428549f,      0.00071692816f,   -0.1558909f,
+    0.13173038f,      0.04302276f,      0.00053589704f,   -0.14488573f,
+    -0.056273844f,    0.040606596f,     0.123271205f,     -0.068726316f,
+    0.11684817f,      0.20592213f,      -0.07642778f,     -0.105910346f,
+    -0.2585832f,      -0.23417398f,     0.12040833f,      -0.09154299f,
+    0.17292786f,      0.12093151f,      0.121731065f,     -0.17765464f,
+    -0.0384256f,      0.13790965f,      -0.018014584f,    -0.0035332667f,
+    0.05237539f,      -0.0137136085f,   -0.023778876f,    0.08754374f,
+    0.009544277f,     0.002218335f,     0.0054768333f,    0.1433599f,
+    -0.3052151f,      -0.027671313f,    0.0002961017f,    -0.090877056f,
+    0.080019295f,     0.0002891663f,    8.4476655e-05f,   0.003273378f,
+    -0.0009773651f,   0.0009694154f,    0.0023891174f,    0.15905638f,
+    0.0006923403f,    -0.23975392f,     0.00035524007f,   -0.1527745f,
+    0.09689001f,      -0.13403186f,     -0.108304426f,    -0.0011496501f,
+    -0.07912725f,     -0.045485526f,    0.07143749f,      -0.119538695f,
+    0.06519464f,      0.00047708154f,   -0.0012068728f,   0.00023571185f,
+    -0.021851776f,    -0.109725535f,    -0.0004428154f,   -0.061998375f,
+    -0.021858238f,    0.13159609f,      0.0011464811f,    -0.12141252f,
+    -0.06273758f,     0.25536647f,      0.10020979f,      0.13120368f,
+    0.16516227f,      -0.14927655f,     0.14413974f,      0.039363794f,
+    0.19443943f,      -0.016147649f,    -0.08761862f,     0.08571985f,
+    -0.034732215f,    0.08880915f,      0.11532351f,      -0.25091994f,
+    -0.18177348f,     0.111709945f,     -0.06447608f,     -0.04730312f,
+    -0.13159128f,     0.01896033f,      -0.29692683f,     0.3151368f,
+    0.016690407f,     0.08558145f,      0.016950725f,     0.13607958f,
+    -0.008597756f,    -0.15839215f,     -0.00063565f,     0.1460453f,
+    0.0293913f,       -0.002123718f,    -0.0021662426f,   0.0011421579f,
+    0.0003198187f,    -0.0003188809f,   -0.0013892676f,   0.4037178f,
+    0.0010367054f,    -0.08923333f,     0.0017262235f,    0.049378145f,
+    0.03052855f,      -0.109949686f,    0.041772034f,     -0.00035096507f,
+    -0.091725476f,    -0.11212402f,     0.018248942f,     -0.103211425f,
+    0.036560368f,     -0.00085344445f,  0.0005108113f,    0.001955348f,
+    -0.17280978f,     -0.15745719f,     0.0016406632f,    0.102957435f,
+    -0.056333065f,    0.12174493f,      -0.00029968395f,  -0.046295736f,
+    -0.05203623f,     0.17915867f,      0.17138906f,      0.20149875f,
+    0.14662422f,      -0.064990275f,    0.086431846f,     0.02657508f,
+    -0.26568517f,     -0.10079118f,     -0.20195039f,     0.072891355f,
+    0.20596844f,      0.14842734f,      0.11689981f,      -0.29243934f,
+    0.020928182f,     0.14047745f,      -0.032774657f,    0.013994991f,
+    0.04893072f,      -0.08560179f,     0.07281562f,      0.069943145f,
+    -0.006538145f,    0.08474164f,      0.013837414f,     0.104377925f,
+    -0.32318544f,     -0.03346193f,     -0.0006234076f,   -0.25232646f,
+    0.08134998f,      -0.0012573038f,   -0.00025874845f,  0.0021640486f,
+    0.0007048257f,    0.00086261076f,   -0.00049946277f,  0.18027796f,
+    0.0005355332f,    -0.38501582f,     -0.0006607559f,   -0.15524353f,
+    0.07703849f,      -0.19909449f,     -0.040597178f,    0.00019839265f,
+    -0.089541435f,    -0.17451768f,     0.193429f,        -0.039949242f,
+    -0.053514555f,    0.0010188281f,    0.0012863715f,    -4.6992354e-05f,
+    0.046476908f,     -0.15381487f,     -0.0009432004f,   0.068324186f,
+    -0.07473438f,     0.19692156f,      -0.00023191162f,  -0.07189867f,
+    -0.08010463f,     0.2258111f,       0.11592476f,      0.17914976f,
+    0.13195598f,      -0.11106629f,     0.12462127f,      0.006350248f,
+    0.09321404f,      0.03279733f,      0.040620834f,     0.07625015f,
+    0.26654643f,      0.006987583f,     0.056940462f,     -0.21681315f,
+    0.077801876f,     0.055067755f,     -0.07760556f,     0.03872932f,
+    -0.79303557f,     -0.110598356f,    0.11750592f,      0.13262804f,
+    -0.06422358f,     0.021544294f,     0.106549375f,     0.05221962f,
+    -0.48878804f,     -0.2284007f,      0.0011379553f,    0.1531422f,
+    0.07926333f,      0.00038042318f,   0.0017872434f,    0.0007042611f,
+    0.00024585766f,   -0.0015021149f,   0.00033512182f,   0.17980112f,
+    -0.00030350624f,  -0.09183649f,     -0.0003179727f,   -0.17676876f,
+    0.053549517f,     -0.301563f,       0.019367442f,     -0.000101853504f,
+    -0.03712425f,     -0.077965915f,    -0.16881329f,     -0.5796423f,
+    0.15654868f,      -0.0013217079f,   -0.0010914453f,   0.0011883607f,
+    0.106605545f,     -0.12484317f,     0.0004226503f,    0.09296495f,
+    -0.38826272f,     0.29945183f,      0.000777706f,     -0.28242147f,
+    -0.09771982f,     0.30562764f,      0.21152276f,      0.07008504f,
+    0.08235849f,      -0.00946117f,     0.14994532f,      0.025700504f,
+    0.22086006f,      0.01654313f,      -0.040672258f,    0.012883936f,
+    0.0061779623f,    -0.013291561f,    0.19166854f,      -0.017105795f,
+    -0.07506847f,     0.18045776f,      -0.30787674f,     0.048325602f,
+    0.059621293f,     0.12610446f,      -0.24595498f,     0.123657905f,
+    0.028636903f,     -0.006177237f,    -0.0489142f,      0.16809219f,
+    -0.10486529f,     -0.10494883f,     -0.0004520705f,   0.2357923f,
+    0.050763234f,     -0.0011827169f,   -0.00010527009f,  0.001825628f,
+    0.0008991276f,    -0.0015281035f,   -0.000533636f,    0.1632358f,
+    0.0020393324f,    0.015845003f,     0.0016316768f,    -0.06386037f,
+    0.054093625f,     -0.14962895f,     -0.014346977f,    0.0012925119f,
+    -0.12354017f,     0.016353896f,     -0.2519243f,      -0.04281126f,
+    0.19090451f,      -0.00022991616f,  0.001894351f,     -0.00054305035f,
+    -0.11097119f,     -0.050557557f,    -0.0011444872f,   -0.0023186142f,
+    -0.11912521f,     -0.022436127f,    0.0001445022f,    -0.13724817f,
+    -0.024185471f,    0.24273016f,      0.13877408f,      0.13629928f,
+    0.15725626f,      -0.15798466f,     0.10887137f,      0.077191934f,
+    0.09739567f,      -0.09165967f,     -0.20622979f,     0.11893536f,
+    -0.09508168f,     -0.075439416f,    0.27062836f,      0.08787128f,
+    0.101400554f,     0.26852965f,      -0.59093076f,     0.19821987f,
+    0.08937512f,      0.055678036f,     -0.116133705f,    0.039116386f,
+    0.06315727f,      0.107821845f,     -0.019807387f,    0.14512414f,
+    -0.060943954f,    -0.07014007f,     0.00016978045f,   0.17468223f,
+    0.06063257f,      -7.286974e-05f,   0.0005939672f,    0.0018404772f,
+    0.0011290488f,    0.00019233255f,   0.0019600382f,    0.07629803f,
+    0.00034283352f,   -0.0005339052f,   -0.00011325302f,  -0.0320187f,
+    0.041795913f,     -0.31851268f,     0.08271041f,      0.0021725951f,
+    -0.16681935f,     -0.031819552f,    -0.32887435f,     0.046451382f,
+    0.1761192f,       0.00069008686f,   7.961439e-05f,    -0.00019473303f,
+    -0.09694852f,     -0.033249408f,    -0.0008172128f,   0.22586535f,
+    -0.22233704f,     -0.05459794f,     -9.828665e-05f,   -0.14924103f,
+    -0.03904952f,     0.20695034f,      0.07704979f,      0.16610599f,
+    0.14414144f,      -0.23807625f,     0.102441765f,     0.09765428f,
+    0.08840623f,      -0.024117084f,    0.0006691144f,    0.17866156f,
+    0.116677806f,     0.10861541f,      0.11338425f,      -0.23225266f,
+    -0.054111186f,    0.12930895f,      -0.03074416f,     -0.023599973f,
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+    -0.004780249f,    0.040883638f,     0.0047388203f,    0.12917048f,
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+    -0.40077317f,     -0.09291479f,     0.063446194f,     0.015596908f,
+    0.0844597f,       -0.35864076f,     -0.36622036f,     0.50972474f,
+    0.2763414f,       -0.19642599f,     0.25680244f,      0.13327637f,
+    0.280801f,        0.27867955f,      -4.9451723e-05f,  0.3051137f,
+    0.2847779f,       0.0007782087f,    0.00044070376f,   0.0006270427f,
+    0.0011128803f,    0.0015029643f,    -0.0013614559f,   0.030074375f,
+    0.0002480896f,    -0.23818453f,     -0.0002574801f,   -0.6114384f,
+    -0.17171215f,     -0.091531865f,    -0.61178076f,     -0.0009181718f,
+    -0.09674144f,     -0.43262732f,     0.47611755f,      -0.21955332f,
+    0.06679015f,      -0.00013488762f,  -0.0008521661f,   0.00013284964f,
+    -0.059048936f,    -0.092284955f,    0.000729412f,     0.54624873f,
+    0.14149892f,      -0.010856255f,    -0.00030784984f,  -0.21022716f,
+    -0.02957234f,     -0.24736041f,     0.4032994f,       0.95253086f,
+    0.09457507f,      -0.7544574f,      0.30124426f,      0.021452993f,
+    0.4867626f,       -0.11234221f,     -0.3776169f,      -0.01842454f,
+    0.07296044f,      0.059598666f,     0.15687276f,      -0.090129316f,
+    -0.051758282f,    0.1581658f,       -0.18507338f,     0.032852154f,
+    0.05787591f,      0.03077193f,      -0.11312295f,     0.11000684f,
+    0.023252424f,     0.005411883f,     -0.001565964f,    0.15286717f,
+    -0.20434852f,     -0.045124184f,    -0.0005631562f,   0.06380896f,
+    0.06644926f,      0.0019462677f,    0.00090246636f,   -0.00042241448f,
+    0.001145699f,     -0.00020297086f,  -0.00033927092f,  0.12988104f,
+    0.0015715904f,    -0.11117145f,     -0.00038432778f,  -0.12948954f,
+    0.07843687f,      -0.14989915f,     -0.09634396f,     -0.0008795724f,
+    -0.100438334f,    0.017410642f,     -0.06870434f,     -0.041504737f,
+    0.12913594f,      -0.00044070717f,  -0.0014618066f,   0.00065926235f,
+    -0.09094303f,     -0.073152445f,    0.0005479884f,    -0.02734993f,
+    -0.084711656f,    0.05207296f,      0.0007967038f,    -0.12827653f,
+    -0.043845862f,    0.23764999f,      0.1066041f,       0.14838819f,
+    0.1610168f,       -0.1802517f,      0.12617826f,      0.06321095f,
+    0.19476289f,      -0.047945622f,    -0.0991064f,      0.10489463f,
+    0.31174272f,      0.17876871f,      0.06711954f,      -0.30805537f,
+    -0.09571441f,     0.10039818f,      0.07631451f,      -0.067563266f,
+    -0.24513783f,     -0.15668078f,     0.056909736f,     0.02675003f,
+    0.082459725f,     0.15251064f,      0.24399538f,      0.060841203f,
+    -0.341181f,       0.07206688f,      0.00015646809f,   -0.09134007f,
+    0.10626247f,      -0.0014722481f,   0.0016895095f,    0.0026997414f,
+    -0.0013718642f,   -0.0026647174f,   -0.0008388283f,   0.21276696f,
+    0.00016302348f,   -0.36459523f,     -0.0008157907f,   -0.22927396f,
+    0.030674934f,     -0.14244416f,     -0.23961757f,     0.0004102089f,
+    -0.018435743f,    0.02354291f,      0.15005605f,      -0.18100229f,
+    0.1082989f,       0.00046877444f,   -0.0012580721f,   0.0012965286f,
+    -0.03979327f,     -0.24586193f,     0.00038768878f,   -0.056720197f,
+    0.0029552646f,    0.16940859f,      0.00054960867f,   -0.18932173f,
+    -0.10476215f,     0.32681242f,      0.084162846f,     0.14470176f,
+    0.053779535f,     -0.102481514f,    0.13140993f,      -0.03354692f,
+    0.32360348f,      0.19320127f,      -0.024356121f,    0.0052966923f,
+    0.40523493f,      0.4961438f,       0.13982563f,      -0.0073457737f,
+    -0.46968096f,     0.14894502f,      -0.46269745f,     -0.35036552f,
+    -0.10770597f,     -0.08109542f,     -0.6809037f,      0.20223145f,
+    0.026866978f,     0.37773642f,      0.481438f,        0.104779094f,
+    -0.135136f,       -0.08121235f,     0.0014552904f,    -0.063278526f,
+    -0.028707743f,    0.00043295178f,   -0.0011517673f,   0.0015288516f,
+    -0.0006172075f,   0.00083851983f,   0.0010456812f,    0.015699986f,
+    -0.0006724034f,   -0.12893185f,     -0.0004979344f,   -0.32698557f,
+    0.011288584f,     -0.23095176f,     -0.26603374f,     0.0017219866f,
+    -0.17028666f,     -0.710411f,       0.46758682f,      -0.21591221f,
+    0.27160272f,      0.0002814904f,    -0.0004901826f,   0.0005413975f,
+    -0.3787354f,      -0.0050373203f,   -0.00043052144f,  0.3120307f,
+    0.2226326f,       0.049312748f,     0.00134029f,      0.03945995f,
+    -0.14459096f,     -0.12290306f,     0.1918625f,       0.48828527f,
+    -0.057478f,       -0.23646961f,     -0.07343593f,     0.2716123f,
+    0.6543835f,       -0.24275112f,     -0.4466551f,      0.16535279f,
+    -0.24794684f,     0.06146467f,      0.1741455f,       0.016206011f,
+    -0.58245933f,     0.05943577f,      -0.72296065f,     -0.025982741f,
+    -0.048478547f,    0.08963077f,      0.06716503f,      -0.10923459f,
+    -0.040528614f,    0.1097888f,       0.015184581f,     0.10107837f,
+    -0.32443064f,     -0.21291958f,     8.499812e-07f,    -0.039312884f,
+    0.14752653f,      -7.9339705e-05f,  -0.0018961631f,   0.0029354626f,
+    0.00020818063f,   0.0016619798f,    -0.00058926124f,  -0.1210048f,
+    0.0001596731f,    -0.28751472f,     0.00074896874f,   -0.47536534f,
+    0.053027313f,     -0.1765512f,      -0.3640063f,      8.519853e-05f,
+    -0.1330372f,      0.23279732f,      0.109615155f,     -0.042836286f,
+    0.17726311f,      0.0026858815f,    -0.0006007497f,   -0.0013181655f,
+    -0.29374623f,     -0.057609208f,    -0.00089213555f,  -0.019780876f,
+    -0.6995654f,      0.12351426f,      0.001998336f,     -0.0545277f,
+    -0.064403966f,    0.20872726f,      -0.14296092f,     -0.33345452f,
+    0.07298847f,      0.09911219f,      0.09460208f,      0.044550173f,
+    0.44307455f,      -0.16802725f,     0.022962427f,     0.00833525f,
+    4.97077e-05f,     -0.0025146164f,   2.3117947e-05f,   1.5305355e-05f,
+    0.0014284846f,    -0.00043277646f,  0.0002974285f,    0.00020736989f,
+    -0.0009878314f,   -0.0017866966f,   0.00021069967f,   -0.0007617949f,
+    0.00066416775f,   0.0011071039f,    0.0010781359f,    -0.0030748479f,
+    -0.0006112805f,   0.00050828373f,   0.002579913f,     0.0011911138f,
+    -0.0017789172f,   0.0015459605f,    -0.0004226936f,   0.00028610375f,
+    -0.0009467246f,   -0.00051378185f,  0.00048906205f,   0.0006118919f,
+    0.0008442935f,    -0.0006955137f,   0.00077861064f,   -0.0008063557f,
+    -0.001883144f,    0.0027368502f,    0.00053875294f,   0.0017444468f,
+    0.0010496001f,    0.00025057903f,   0.0010602751f,    0.0009044824f,
+    -0.000902058f,    -0.0009210604f,   -0.0004078885f,   -0.0010924989f,
+    0.0005280947f,    0.001131681f,     -0.00079595903f,  0.0010164365f,
+    -6.4724394e-05f,  -0.001669948f,    -0.0007493608f,   -0.0006797113f,
+    -0.00096428354f,  -0.0027087813f,   -0.0005998702f,   0.00010552174f,
+    -0.0009133604f,   -0.0018779592f,   2.6404981e-05f,   -6.8630325e-05f,
+    -0.00070410833f,  0.0013223381f,    -0.00032540818f,  -0.0013105972f,
+    0.20083061f,      0.23285945f,      0.03252332f,      -0.36512387f,
+    -0.46887743f,     -0.265068f,       -0.33263403f,     -0.06471677f,
+    -0.7383082f,      -0.1875872f,      -0.20191927f,     0.28061122f,
+    0.18357536f,      -0.0011513835f,   -0.2707649f,      0.20028293f,
+    -0.28471005f,     -0.19433282f,     -0.0007925034f,   0.0050944756f,
+    0.21328585f,      0.0005703604f,    -0.00047423824f,  0.001109711f,
+    -0.00021286675f,  0.001028736f,     -0.00041788933f,  0.17428972f,
+    4.756429e-05f,    -0.22718473f,     0.0015285582f,    -0.060056396f,
+    -0.044657823f,    -0.08158594f,     0.15957323f,      -0.0010575406f,
+    -0.2203644f,      -0.27886555f,     0.28295124f,      -0.023275787f,
+    0.0360999f,       0.0005879832f,    0.0012141725f,    -0.0008610975f,
+    -0.09079776f,     -0.092000864f,    9.190638e-05f,    0.11324893f,
+    -0.2439542f,      0.20444489f,      -0.0013475574f,   0.004330551f,
+    -0.016179958f,    0.50164914f,      0.52225506f,      0.11929946f,
+    0.07638437f,      -0.12463428f,     0.16021802f,      0.1488709f,
+    -0.06664828f,     -0.33419695f,     0.4498346f,       -0.16605113f,
+    -0.28657612f,     0.10606736f,      0.19532411f,      -0.0186733f,
+    -0.35253015f,     0.17785898f,      -0.69524735f,     -0.03807841f,
+    -0.2794249f,      -0.085839406f,    0.009105074f,     -0.1147554f,
+    0.043652132f,     0.23203202f,      0.14618064f,      0.031703696f,
+    -0.11271949f,     -0.15111448f,     4.3559547e-05f,   0.052462835f,
+    0.21248154f,      -0.00018582691f,  7.506563e-06f,    0.0030571287f,
+    0.0004258465f,    -0.00036943474f,  0.0002402889f,    0.2340277f,
+    0.0011033815f,    -0.31993142f,     0.001266017f,     -0.07348215f,
+    0.0072665033f,    -0.3315318f,      -0.08673961f,     -0.0005167861f,
+    -0.14679645f,     0.025496665f,     0.05632868f,      -0.20351659f,
+    0.16413918f,      -0.0010637916f,   0.00091375865f,   -0.002721659f,
+    -0.38258338f,     -0.10243466f,     6.492738e-05f,    0.14496568f,
+    -0.5215506f,      0.19252887f,      0.0005748152f,    -0.021673772f,
+    -0.110836215f,    0.21385463f,      0.03116424f,      -0.18227392f,
+    0.03188356f,      -0.011020283f,    0.11781264f,      -0.0004974041f,
+    -0.06301444f,     0.034830175f,     -0.052280452f,    0.045389324f,
+    0.0005521098f,    0.01772917f,      -0.17225818f,     0.0037039423f,
+    0.0015673604f,    -0.10055038f,     0.021108633f,     0.020772647f,
+    0.14595065f,      -0.04253008f,     0.013751122f,     0.007689795f,
+    0.041917972f,     0.016940184f,     0.002107906f,     -0.06683443f,
+    0.020539016f,     0.029143851f,     -7.801321e-05f,   0.0004836811f,
+    -0.017668154f,    -0.0005448151f,   0.0010524365f,    -0.0007671644f,
+    -0.00012459021f,  0.0008768695f,    -0.00051357795f,  -0.0037997859f,
+    0.0003861398f,    0.014108769f,     0.00069321576f,   -0.006722216f,
+    -0.020900667f,    0.026551543f,     -0.0011496779f,   -0.00075074355f,
+    0.028344141f,     0.009201196f,     0.0057718405f,    0.021699302f,
+    -0.014502635f,    -3.4917146e-05f,  -0.00035786058f,  -0.0011784286f,
+    0.060572445f,     0.020316433f,     -0.0011969139f,   -0.04873412f,
+    0.023842258f,     -0.023542333f,    0.0017061911f,    0.021966225f,
+    0.00033679532f,   -0.19098286f,     0.06507214f,      -0.025174895f,
+    -0.045645624f,    0.03047322f,      -0.03555776f,     0.019031342f,
+    0.025006592f,     0.002873845f,     0.013087436f,     -0.017678551f,
+    0.57228166f,      0.44931725f,      0.033467986f,     -0.052152947f,
+    -0.16510761f,     0.095149025f,     -0.25350976f,     -0.31727728f,
+    0.020857004f,     0.01630847f,      -0.0931435f,      0.1957119f,
+    -0.39591384f,     0.2692201f,       0.33176333f,      0.11175347f,
+    -0.2671032f,      -0.056412164f,    -0.001511809f,    0.29373026f,
+    0.17934428f,      -0.0010251943f,   0.0010095476f,    0.0035850229f,
+    0.00065879535f,   0.00093925773f,   0.00033792327f,   0.34793642f,
+    -0.00042587394f,  -0.08081586f,     0.00038307233f,   -0.011362356f,
+    -0.0033058012f,   -0.08819704f,     -0.32478446f,     -0.0011537038f,
+    -0.27391264f,     -0.11553899f,     0.17199908f,      -0.0041303267f,
+    0.41343948f,      0.000357048f,     0.0014987858f,    0.0013575226f,
+    -0.5571183f,      -0.2880887f,      -0.002448622f,    0.17940249f,
+    -0.20062222f,     0.3171509f,       0.0008355412f,    -0.07066481f,
+    -0.13722952f,     -0.10970398f,     0.058733325f,     0.24034949f,
+    0.18251064f,      0.11015398f,      0.24339579f,      -0.041504826f,
+    0.19960985f,      -0.15185966f,     -0.2734284f,      0.13767993f,
+    0.22348885f,      -0.008877726f,    -0.17189537f,     -0.43331224f,
+    0.2023295f,       0.04317003f,      -0.3600444f,      -0.0067409207f,
+    0.18264559f,      -0.11805032f,     -0.07412461f,     0.03241709f,
+    0.051556725f,     0.085615896f,     0.40916997f,      -0.07864307f,
+    -0.22887087f,     -0.24392724f,     0.00014124371f,   0.6468839f,
+    -0.036077045f,    -0.0014531002f,   -0.0011161002f,   0.003305897f,
+    0.0017938324f,    -3.750653e-05f,   -0.0016759017f,   0.4013441f,
+    -0.00073333486f,  -0.28097916f,     -0.0010191813f,   0.019602012f,
+    0.09314859f,      -0.53062683f,     0.1758001f,       -1.5525151e-05f,
+    -0.20916408f,     -0.66344565f,     -0.14848995f,     -0.065955415f,
+    -0.034880806f,    -1.1966582e-06f,  0.00036120228f,   -0.0012568037f,
+    -0.10609765f,     -0.58169466f,     -0.0006648826f,   0.44565904f,
+    -0.5121707f,      0.24637467f,      0.0010917422f,    -0.23795755f,
+    -0.2328576f,      -0.0765637f,      0.330303f,        0.27319f,
+    0.094247416f,     -0.16981891f,     0.017022926f,     -0.10659436f,
+    0.11089696f,      -0.08941251f,     -0.3529318f,      0.0654588f
+};
+
+static const float conv2_biases[] = {
+    0.12326373f,      0.13270757f,      0.07082674f,      0.051456157f,
+    0.058445618f,     0.13153197f,      0.0809729f,       0.10153213f,
+    0.055915363f,     0.05228166f,      -0.11212896f,     0.07462141f,
+    -0.10300769f,     0.10817513f,      0.15686865f,      0.1822583f,
+    0.06780991f,      -0.027867194f,    0.10957543f,      0.034252886f,
+    0.05988423f,      -0.0481856f,      0.074781254f,     -0.07338138f,
+    -0.022100607f,    -0.049476217f,    0.0001618523f,    0.16787314f,
+    -0.086404406f,    0.06046943f,      -0.1733751f,      0.2654999f
+};
+
+static const float conv3_kernel[] = {
+    -0.01733648f,     0.01492609f,      0.019393086f,     -0.004445322f,
+    0.026939709f,     0.00038831023f,   0.004221528f,     0.0050745453f,
+    0.0129861f,       0.008007169f,     0.008950762f,     0.005279691f,
+    0.015198747f,     -0.010862989f,    0.011825689f,     -0.019965801f,
+    0.007991939f,     -0.004620696f,    0.011911056f,     0.0043943473f,
+    -0.015274506f,    0.007058924f,     0.010290278f,     0.013065045f,
+    -0.010343008f,    0.017746344f,     -4.6092932e-06f,  -0.0030044178f,
+    0.004238005f,     0.011623516f,     0.0042921947f,    0.0036016756f,
+    0.025046846f,     -0.012476416f,    -0.001889116f,    -0.014844696f,
+    0.0037114194f,    0.0015292391f,    -0.019609794f,    -0.02383642f,
+    -0.004658454f,    -0.0054208986f,   -0.011578674f,    -0.012782601f,
+    -0.013413185f,    -0.002697888f,    -0.008449232f,    -0.001977387f,
+    -0.009994492f,    -0.019018622f,    -0.014209286f,    -0.010814857f,
+    -0.012635752f,    -0.025710505f,    -0.011209325f,    0.0061852434f,
+    -0.028722698f,    -0.01599159f,     -7.26217e-06f,    0.0059218574f,
+    -0.0127538005f,   0.004631822f,     -0.012866009f,    -0.015347815f,
+    0.015386375f,     0.023364263f,     -0.008774849f,    0.00033160704f,
+    -0.013394288f,    0.018397791f,     -0.0010600976f,   0.0013282642f,
+    -0.0046541207f,   -0.0034810272f,   -0.038735237f,    0.0043200655f,
+    -0.012688318f,    0.005344532f,     -0.029875176f,    0.009807407f,
+    0.013965515f,     -0.0039542704f,   -0.0025950125f,   -0.010605341f,
+    -0.02215936f,     -0.04049196f,     -0.0082667265f,   -0.01930975f,
+    -0.0053983186f,   -0.027176432f,    -7.683407e-06f,   0.0058844145f,
+    -0.002555462f,    0.0031520976f,    0.0077376286f,    -0.0016007262f,
+    0.009788385f,     -0.00019503673f,  -0.01645315f,     -0.009283056f,
+    -0.023557188f,    0.019991314f,     -0.0016918116f,   0.006789462f,
+    -0.015027259f,    -0.013967355f,    -0.025483066f,    -0.0011143273f,
+    -0.024852922f,    -0.0025222464f,   -0.0068101967f,   -0.0052228663f,
+    0.003403729f,     -0.0057572993f,   3.0098856e-05f,   -0.016694108f,
+    -0.026578246f,    -0.055858552f,    -0.01040826f,     -0.024491757f,
+    -0.013739718f,    -0.0016934959f,   -6.9714324e-06f,  0.016726777f,
+    0.0128034875f,    0.0015065578f,    -0.009287698f,    -0.026466f,
+    0.011461019f,     0.012902507f,     0.0113832615f,    -0.014642437f,
+    0.0025061562f,    -0.005041358f,    0.02081145f,      0.036239613f,
+    4.436463e-05f,    -0.006089515f,    -0.004598781f,    0.013829105f,
+    -0.009625029f,    -0.0024851824f,   0.011963721f,     0.005744088f,
+    0.004409838f,     -0.0028752747f,   0.037273f,        -0.0079703685f,
+    -0.023841897f,    -0.020694682f,    0.01830098f,      -0.0013982734f,
+    -0.02932626f,     0.039605323f,     -4.9999985e-06f,  0.0021212643f,
+    0.017022226f,     0.0030793506f,    0.0041403836f,    -0.024156462f,
+    -0.0066918465f,   0.014618277f,     0.008809711f,     -0.0030973074f,
+    0.0045377472f,    0.022115124f,     0.0010284728f,    -0.011907029f,
+    0.0037738825f,    -0.0034918108f,   -0.0019704925f,   -0.0022535324f,
+    -0.00088587066f,  -0.009839005f,    -0.011421483f,    0.021808833f,
+    -0.0011487964f,   -0.0041014133f,   -0.00041377658f,  -0.0025395507f,
+    -0.01745589f,     -0.01648567f,     0.0025676503f,    0.007391396f,
+    -0.0498155f,      -0.008180997f,    -5.9783792e-06f,  0.017585661f,
+    -0.0118313795f,   0.011075241f,     -0.018345809f,    -0.028922094f,
+    -0.008543231f,    -0.02222561f,     0.0019820202f,    -0.017327564f,
+    -0.0028896166f,   -0.016437765f,    -0.001989804f,    -0.0046544564f,
+    -0.0056253797f,   -0.012663842f,    -0.0021303114f,   -0.0058640097f,
+    -0.0205096f,      -0.004189838f,    -0.0015994223f,   -0.014543072f,
+    -0.012980198f,    -0.0121102035f,   0.005697437f,     -0.011343842f,
+    -0.0062731286f,   -0.020269396f,    0.0020659557f,    -0.006627211f,
+    -0.036355212f,    -0.009883279f,    -6.2108943e-06f,  -0.026439881f,
+    -0.028891966f,    -0.0013150872f,   -0.023601664f,    -0.010725725f,
+    -0.021831911f,    0.039243896f,     0.02405675f,      0.016758442f,
+    0.022510681f,     -0.01064172f,     0.018528724f,     0.018505385f,
+    0.022858057f,     0.019767428f,     0.009467928f,     0.021334583f,
+    0.0067010755f,    0.004998492f,     0.013553347f,     -0.01105016f,
+    0.02129068f,      0.017781539f,     0.023486389f,     0.0162607f,
+    0.024738412f,     0.065497056f,     0.020338254f,     0.01718703f,
+    -0.005591356f,    -0.03028207f,     -3.964172e-06f,   -0.040100023f,
+    -0.023673696f,    0.0031255803f,    0.0036818883f,    0.035654947f,
+    -0.047790267f,    -0.011736183f,    -0.0069964877f,   -0.003726638f,
+    -0.0044415067f,   -0.013957539f,    -0.014418042f,    -0.015041264f,
+    -0.004064843f,    -0.0018137591f,   -0.01949818f,     -0.0090175895f,
+    -0.022034407f,    -0.001782488f,    -0.022081478f,    -0.023862911f,
+    -0.011861376f,    -0.00936943f,     -0.011684311f,    -0.0027838491f,
+    0.0015959303f,    0.013797303f,     -0.009703001f,    -0.016293306f,
+    -0.0022775405f,   -0.058384087f,    -5.6584126e-06f,  -0.010031882f,
+    -0.051561147f,    -0.0016375213f,   -0.033828776f,    -0.0148600275f,
+    0.010203641f,     -0.016776482f,    -0.008142655f,    -0.01547684f,
+    -0.009880787f,    -0.009551424f,    0.005242979f,     0.025618557f,
+    -0.011334289f,    -0.010230681f,    -0.0072891423f,   0.0014259676f,
+    -0.0038161008f,   -9.1096605e-05f,  -0.010165611f,    0.01248974f,
+    -0.0056803133f,   -0.010443034f,    0.01642791f,      -0.009935266f,
+    -0.022226503f,    0.015649764f,     0.0014033179f,    -0.026624054f,
+    -0.007203012f,    0.025398765f,     -6.032417e-06f,   0.022034394f,
+    0.024220204f,     -0.00249235f,     -0.0025713376f,   -0.024256963f,
+    0.028391067f,     -0.00868123f,     -0.0075459606f,   -0.0066171824f,
+    -0.021044472f,    -0.01444006f,     -0.0069368226f,   -0.029412558f,
+    -0.011166023f,    -0.018498935f,    -0.0005780625f,   -0.014950569f,
+    -0.0052538686f,   -0.0052208332f,   -0.028963478f,    0.021637194f,
+    -0.01934784f,     -0.011709429f,    -0.014264274f,    -0.011820941f,
+    0.0029874442f,    -0.043465607f,    -0.008389515f,    -0.020286206f,
+    0.018381242f,     0.009402076f,     -6.4926458e-06f,  0.023731612f,
+    -0.012512443f,    0.0038244938f,    -0.009620792f,    -0.07217538f,
+    -0.013373111f,    -0.03408812f,     0.018013516f,     0.031104652f,
+    0.004108333f,     -0.031565364f,    0.02258793f,      0.0012497875f,
+    0.018505631f,     0.015937509f,     0.03397117f,      0.018751027f,
+    0.028309336f,     0.0013284454f,    -0.0034242184f,   -0.049040183f,
+    0.017518098f,     0.029354956f,     0.012375129f,     0.021071019f,
+    0.043245573f,     -0.0017072117f,   0.01917091f,      0.020050293f,
+    0.044324838f,     0.0003568086f,    -3.782557e-06f,   -0.054970123f,
+    0.00025986708f,   -0.0030980753f,   0.042019118f,     -0.014718047f,
+    0.09136182f,      0.050251998f,     0.047536176f,     0.055385035f,
+    0.043843225f,     0.09153757f,      0.055850364f,     0.057650816f,
+    0.049471464f,     0.049772345f,     0.06513509f,      0.05598534f,
+    0.07879935f,      0.041162334f,     0.116581365f,     0.116215944f,
+    0.055703893f,     0.061708055f,     0.055691358f,     0.050106917f,
+    0.05359711f,      0.118190065f,     0.051873844f,     0.05305469f,
+    0.094883814f,     0.05972008f,      0.03125f,         0.09262255f,
+    0.07122859f,      0.035595007f,     0.10132693f,      0.033046674f,
+    0.008198932f,     0.00034837422f,   0.017919436f,     0.0019723712f,
+    0.028092925f,     -0.033846084f,    -0.0029948805f,   0.007743469f,
+    0.014146284f,     0.018825071f,     0.0144004915f,    0.0019946275f,
+    0.02691827f,      0.0009523414f,    0.027027654f,     -0.05271302f,
+    -0.008234074f,    0.01886295f,      0.009218212f,     0.018653536f,
+    0.018532507f,     0.019083755f,     0.011865131f,     0.020338265f,
+    0.04508337f,      0.023039978f,     -2.3969303e-06f,  -0.03341738f,
+    0.0004288993f,    -0.00082805153f,  0.010723913f,     0.007715867f,
+    0.006444959f,     -0.019155774f,    -5.477799e-05f,   -0.020788789f,
+    0.00831597f,      0.010842232f,     -0.031902798f,    -0.026402516f,
+    -0.006352604f,    -0.0014378208f,   0.009403265f,     -0.023530146f,
+    0.03013893f,      0.00095609104f,   0.003455896f,     0.013105751f,
+    -0.032454796f,    0.00014958641f,   -0.018464519f,    -0.004078385f,
+    0.0037151799f,    -0.034191445f,    -0.012414877f,    0.020487262f,
+    0.0046754936f,    -0.0017117449f,   -5.6997096e-06f,  -0.016188936f,
+    0.00093793747f,   -0.004474718f,    0.015641531f,     -0.031059852f,
+    0.017852167f,     -0.010946748f,    -0.012056041f,    -0.024213046f,
+    -0.012465649f,    -0.0064642616f,   -0.0110341925f,   -0.008573409f,
+    -0.016811594f,    -0.022378387f,    0.0030896366f,    -0.018295068f,
+    -0.0002118988f,   -0.008802077f,    0.0041353963f,    -0.0019236483f,
+    -0.02637782f,     -0.017801862f,    -0.0063813925f,   -0.018069087f,
+    -0.0036655464f,   0.013736056f,     -0.00926528f,     -0.02779058f,
+    -0.012576324f,    0.04333538f,      -7.0378364e-06f,  0.026426876f,
+    0.0057986663f,    0.001365942f,     -0.014491761f,    -0.016380578f,
+    -0.029815238f,    -0.032532256f,    -0.010090044f,    -0.0075939707f,
+    -0.01841759f,     -0.02166566f,     0.0047074873f,    0.0044598053f,
+    -0.011068891f,    -0.014538416f,    -0.0127471145f,   -4.54769e-05f,
+    -0.018158771f,    -0.0016290377f,   -0.007845909f,    -0.024189549f,
+    -0.0060073743f,   -0.013039188f,    0.0067027225f,    -0.012077617f,
+    -0.0007322089f,   0.0034031253f,    -0.0008505431f,   -0.017894164f,
+    0.027413402f,     -0.039492756f,    -7.2415805e-06f,  -0.01993335f,
+    -0.053383633f,    -0.005462685f,    -0.009955281f,    -0.045894638f,
+    -0.03423635f,     0.015809828f,     0.007976382f,     0.02872461f,
+    0.011486088f,     -0.027824942f,    0.022402626f,     0.029602554f,
+    0.01704397f,      0.022052698f,     -0.0047717188f,   0.026639657f,
+    -0.011267848f,    0.0033830018f,    -0.015702372f,    -0.03458953f,
+    0.03404305f,      0.009690975f,     0.018198043f,     0.018704038f,
+    0.004133801f,     0.012773303f,     0.013342909f,     -0.010100413f,
+    0.015592217f,     -0.031007571f,    -4.1644485e-06f,  -0.023360938f,
+    -0.007369862f,    -0.0021892155f,   -0.0041580168f,   0.040366825f,
+    -0.00950825f,     -0.015689341f,    -0.027411446f,    0.0045163934f,
+    -0.021237882f,    -0.032169607f,    -0.008436287f,    0.007711113f,
+    -0.015981104f,    -0.0058474587f,   -0.016302187f,    -0.0050288388f,
+    -0.03451291f,     -0.005411964f,    -0.057007458f,    -0.009519844f,
+    0.00060862664f,   -0.01581088f,     -0.013824393f,    -0.0050003896f,
+    -0.02759697f,     -0.047302894f,    -0.017540261f,    -0.04141391f,
+    -0.041247956f,    -0.012798106f,    -5.4396814e-06f,  -0.00861421f,
+    0.0048933798f,    -0.0032665513f,   -0.04772411f,     -0.029737743f,
+    -0.013271045f,    -0.009748851f,    0.007987075f,     -0.0041782823f,
+    0.012320887f,     0.018136637f,     -0.0102896765f,   -0.012029962f,
+    0.0039973888f,    0.0027769876f,    -0.0001612115f,   -0.0068504843f,
+    0.00064985076f,   -0.0050650807f,   -0.0097356215f,   0.017527003f,
+    -0.0060978164f,   -0.0072428463f,   -0.006019611f,    0.0008342362f,
+    -0.023044562f,    -0.013992049f,    -0.002095994f,    0.01103424f,
+    -0.024964068f,    -0.014639699f,    -5.8028945e-06f,  0.013127169f,
+    -0.012662719f,    -0.0008862268f,   0.0016509607f,    -0.04512324f,
+    -0.008125897f,    0.023091309f,     0.01334149f,      -0.0017570563f,
+    0.011543835f,     0.0049884785f,    0.022472827f,     0.036539525f,
+    0.0076837344f,    0.0037880358f,    0.007956953f,     0.015365968f,
+    0.012251683f,     -0.011300079f,    0.01880794f,      -0.0016539369f,
+    0.010704212f,     0.01161269f,      0.03027414f,      0.0045915823f,
+    -0.02433038f,     -0.01409588f,     0.018684948f,     0.008858194f,
+    -0.048040647f,    0.016877763f,     -5.198308e-06f,   0.007284262f,
+    0.00596547f,      0.005185987f,     0.0015474685f,    0.0014243163f,
+    0.014486665f,     -0.0007930672f,   -0.014664226f,    -0.016457712f,
+    -0.017403796f,    0.012685011f,     -0.003883977f,    -2.3890505e-05f,
+    -0.016086638f,    -0.019044006f,    0.0041567693f,    -0.0080705f,
+    -0.0033578419f,   -0.00516103f,     0.014172151f,     0.0079172775f,
+    -0.010331041f,    -0.00818306f,     -0.003031655f,    -0.018925121f,
+    -0.025037287f,    -0.018173745f,    -0.008901157f,    -0.006475026f,
+    -0.045409832f,    0.007166016f,     -7.5856356e-06f,  0.0012800301f,
+    0.00069128914f,   0.005902952f,     -0.0043672016f,   -0.024956075f,
+    0.022586409f,     0.03446779f,      -0.012960361f,    -0.0014372625f,
+    -0.0144260535f,   0.017766414f,     -0.0053869165f,   -0.005508242f,
+    -0.008251171f,    -0.006693737f,    -0.004248834f,    -0.0030098704f,
+    0.0014789323f,    -8.2464976e-05f,  -0.012845524f,    0.025194582f,
+    0.002518448f,     -0.0049616005f,   -0.010554589f,    -0.010357111f,
+    0.005486671f,     -0.021662172f,    -0.011405641f,    -0.006805207f,
+    -0.004323462f,    -0.007439297f,    -7.723759e-06f,   -0.021758737f,
+    0.008226223f,     0.006653657f,     -0.008580118f,    0.034192834f,
+    -0.0004065808f,   0.002096658f,     -0.007829351f,    0.010406952f,
+    0.0047818823f,    0.005034751f,     -0.016704533f,    -0.016410556f,
+    0.0011981578f,    0.009445486f,     -0.00585872f,     -0.0072120475f,
+    -0.024534391f,    -0.0071554724f,   -0.014008383f,    0.0050018425f,
+    0.00020401525f,   -0.008169618f,    -0.021851186f,    0.008030192f,
+    -0.005056478f,    -0.024147807f,    -0.0136337085f,   0.006448823f,
+    -0.029981539f,    -0.03735398f,     -6.9212547e-06f,  0.033992097f,
+    -0.004451011f,    0.0042461813f,    -0.032517195f,    -0.010747091f,
+    -0.0040616756f,   0.002528875f,     0.012356824f,     0.008285874f,
+    0.027300466f,     -0.007290054f,    0.0016192659f,    0.0096740825f,
+    0.014147036f,     0.015116107f,     0.011294763f,     0.0052219853f,
+    0.013473306f,     -0.0070844297f,   0.017487682f,     -0.01886535f,
+    0.0091585545f,    -0.011141966f,    0.0050981203f,    0.012889761f,
+    -0.019689016f,    0.002859408f,     0.005369896f,     -0.004294142f,
+    -0.014502201f,    0.014149459f,     -4.7262542e-06f,  0.0038339125f,
+    0.012931146f,     0.0046948805f,    0.013098622f,     -0.015422701f
+};
+
+static const float conv3_biases[] = {
+    0.05037664f
+};
+
+#endif
diff --git a/libavfilter/vf_srcnn.c b/libavfilter/vf_srcnn.c
index db1c40c..d6efe9b 100644
--- a/libavfilter/vf_srcnn.c
+++ b/libavfilter/vf_srcnn.c
@@ -28,164 +28,47 @@
 #include "formats.h"
 #include "internal.h"
 #include "libavutil/opt.h"
-#include "vf_srcnn.h"
 #include "libavformat/avio.h"
-
-typedef struct Convolution
-{
-    double* kernel;
-    double* biases;
-    int32_t size, input_channels, output_channels;
-} Convolution;
+#include "dnn_interface.h"
 
 typedef struct SRCNNContext {
     const AVClass *class;
 
-    /// SRCNN convolutions
-    struct Convolution conv1, conv2, conv3;
-    /// Path to binary file with kernels specifications
-    char* config_file_path;
-    /// Buffers for network input/output and feature maps
-    double* input_output_buf;
-    double* conv1_buf;
-    double* conv2_buf;
+    char* model_filename;
+    float* input_output_buf;
+    DNNModule* dnn_module;
+    DNNModel* model;
+    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[] = {
-    { "config_file", "path to configuration file with network parameters", OFFSET(config_file_path), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS },
+    { "model_filename", "path to model file specifying network architecture and its parameters", OFFSET(model_filename), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS },
     { NULL }
 };
 
 AVFILTER_DEFINE_CLASS(srcnn);
 
-#define CHECK_FILE_SIZE(file_size, srcnn_size, avio_context)    if (srcnn_size > file_size){ \
-                                                                    av_log(context, AV_LOG_ERROR, "error reading configuration file\n");\
-                                                                    avio_closep(&avio_context); \
-                                                                    return AVERROR(EIO); \
-                                                                }
-
-#define CHECK_ALLOCATION(call, end_call)    if (call){ \
-                                                av_log(context, AV_LOG_ERROR, "could not allocate memory for convolutions\n"); \
-                                                end_call; \
-                                                return AVERROR(ENOMEM); \
-                                            }
-
-static int allocate_read_conv_data(Convolution* conv, AVIOContext* config_file_context)
-{
-    int32_t kernel_size = conv->output_channels * conv->size * conv->size * conv->input_channels;
-    int32_t i;
-
-    conv->kernel = av_malloc(kernel_size * sizeof(double));
-    if (!conv->kernel){
-        return AVERROR(ENOMEM);
-    }
-    for (i = 0; i < kernel_size; ++i){
-        conv->kernel[i] = av_int2double(avio_rl64(config_file_context));
-    }
-
-    conv->biases = av_malloc(conv->output_channels * sizeof(double));
-    if (!conv->biases){
-        return AVERROR(ENOMEM);
-    }
-    for (i = 0; i < conv->output_channels; ++i){
-        conv->biases[i] = av_int2double(avio_rl64(config_file_context));
-    }
-
-    return 0;
-}
-
-static int allocate_copy_conv_data(Convolution* conv, const double* kernel, const double* biases)
+static av_cold int init(AVFilterContext* context)
 {
-    int32_t kernel_size = conv->output_channels * conv->size * conv->size * conv->input_channels;
+    SRCNNContext* srcnn_context = context->priv;
 
-    conv->kernel = av_malloc(kernel_size * sizeof(double));
-    if (!conv->kernel){
+    srcnn_context->dnn_module = ff_get_dnn_module(DNN_NATIVE);
+    if (!srcnn_context->dnn_module){
+        av_log(context, AV_LOG_ERROR, "could not create dnn module\n");
         return AVERROR(ENOMEM);
     }
-    memcpy(conv->kernel, kernel, kernel_size * sizeof(double));
-
-    conv->biases = av_malloc(conv->output_channels * sizeof(double));
-    if (!conv->kernel){
-        return AVERROR(ENOMEM);
-    }
-    memcpy(conv->biases, biases, conv->output_channels * sizeof(double));
-
-    return 0;
-}
-
-static av_cold int init(AVFilterContext* context)
-{
-    SRCNNContext *srcnn_context = context->priv;
-    AVIOContext* config_file_context;
-    int64_t file_size, srcnn_size;
-
-    /// Check specified confguration file name and read network weights from it
-    if (!srcnn_context->config_file_path){
-        av_log(context, AV_LOG_INFO, "configuration file for network was not specified, using default weights for x2 upsampling\n");
-
-        /// Create convolution kernels and copy default weights
-        srcnn_context->conv1.input_channels = 1;
-        srcnn_context->conv1.output_channels = 64;
-        srcnn_context->conv1.size = 9;
-        CHECK_ALLOCATION(allocate_copy_conv_data(&srcnn_context->conv1, conv1_kernel, conv1_biases), )
-
-        srcnn_context->conv2.input_channels = 64;
-        srcnn_context->conv2.output_channels = 32;
-        srcnn_context->conv2.size = 1;
-        CHECK_ALLOCATION(allocate_copy_conv_data(&srcnn_context->conv2, conv2_kernel, conv2_biases), )
-
-        srcnn_context->conv3.input_channels = 32;
-        srcnn_context->conv3.output_channels = 1;
-        srcnn_context->conv3.size = 5;
-        CHECK_ALLOCATION(allocate_copy_conv_data(&srcnn_context->conv3, conv3_kernel, conv3_biases), )
-    }
-    else if (avio_check(srcnn_context->config_file_path, AVIO_FLAG_READ) > 0){
-        if (avio_open(&config_file_context, srcnn_context->config_file_path, AVIO_FLAG_READ) < 0){
-            av_log(context, AV_LOG_ERROR, "failed to open configuration file\n");
-            return AVERROR(EIO);
-        }
-
-        file_size = avio_size(config_file_context);
-
-        /// Create convolution kernels and read weights from file
-        srcnn_context->conv1.input_channels = 1;
-        srcnn_context->conv1.size = (int32_t)avio_rl32(config_file_context);
-        srcnn_context->conv1.output_channels = (int32_t)avio_rl32(config_file_context);
-        srcnn_size = 8 + (srcnn_context->conv1.output_channels * srcnn_context->conv1.size *
-                          srcnn_context->conv1.size * srcnn_context->conv1.input_channels +
-                          srcnn_context->conv1.output_channels << 3);
-        CHECK_FILE_SIZE(file_size, srcnn_size, config_file_context)
-        CHECK_ALLOCATION(allocate_read_conv_data(&srcnn_context->conv1, config_file_context), avio_closep(&config_file_context))
-
-        srcnn_context->conv2.input_channels = (int32_t)avio_rl32(config_file_context);
-        srcnn_context->conv2.size = (int32_t)avio_rl32(config_file_context);
-        srcnn_context->conv2.output_channels = (int32_t)avio_rl32(config_file_context);
-        srcnn_size += 12 + (srcnn_context->conv2.output_channels * srcnn_context->conv2.size *
-                            srcnn_context->conv2.size * srcnn_context->conv2.input_channels +
-                            srcnn_context->conv2.output_channels << 3);
-        CHECK_FILE_SIZE(file_size, srcnn_size, config_file_context)
-        CHECK_ALLOCATION(allocate_read_conv_data(&srcnn_context->conv2, config_file_context), avio_closep(&config_file_context))
-
-        srcnn_context->conv3.input_channels = (int32_t)avio_rl32(config_file_context);
-        srcnn_context->conv3.size = (int32_t)avio_rl32(config_file_context);
-        srcnn_context->conv3.output_channels = 1;
-        srcnn_size += 8 + (srcnn_context->conv3.output_channels * srcnn_context->conv3.size *
-                           srcnn_context->conv3.size * srcnn_context->conv3.input_channels
-                           + srcnn_context->conv3.output_channels << 3);
-        if (file_size != srcnn_size){
-            av_log(context, AV_LOG_ERROR, "error reading configuration file\n");
-            avio_closep(&config_file_context);
-            return AVERROR(EIO);
-        }
-        CHECK_ALLOCATION(allocate_read_conv_data(&srcnn_context->conv3, config_file_context), avio_closep(&config_file_context))
-
-        avio_closep(&config_file_context);
+    if (!srcnn_context->model_filename){
+        av_log(context, AV_LOG_INFO, "model file for network was not specified, using default network for x2 upsampling\n");
+        srcnn_context->model = (srcnn_context->dnn_module->load_default_model)(DNN_SRCNN);
     }
     else{
-        av_log(context, AV_LOG_ERROR, "specified configuration file does not exist or not readable\n");
+        srcnn_context->model = (srcnn_context->dnn_module->load_model)(srcnn_context->model_filename);
+    }
+    if (!srcnn_context->model){
+        av_log(context, AV_LOG_ERROR, "could not load dnn model\n");
         return AVERROR(EIO);
     }
 
@@ -197,7 +80,7 @@ static int query_formats(AVFilterContext* context)
     const enum AVPixelFormat pixel_formats[] = {AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUV444P,
                                                 AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_GRAY8,
                                                 AV_PIX_FMT_NONE};
-    AVFilterFormats *formats_list;
+    AVFilterFormats* formats_list;
 
     formats_list = ff_make_format_list(pixel_formats);
     if (!formats_list){
@@ -209,28 +92,29 @@ static int query_formats(AVFilterContext* context)
 
 static int config_props(AVFilterLink* inlink)
 {
-    AVFilterContext *context = inlink->dst;
-    SRCNNContext *srcnn_context = context->priv;
-    int min_dim;
-
-    /// Check if input data width or height is too low
-    min_dim = FFMIN(inlink->w, inlink->h);
-    if (min_dim <= srcnn_context->conv1.size >> 1 || min_dim <= srcnn_context->conv2.size >> 1 || min_dim <= srcnn_context->conv3.size >> 1){
-        av_log(context, AV_LOG_ERROR, "input width or height is too low\n");
-        return AVERROR(EIO);
-    }
-
-    /// Allocate network buffers
-    srcnn_context->input_output_buf = av_malloc(inlink->h * inlink->w * sizeof(double));
-    srcnn_context->conv1_buf = av_malloc(inlink->h * inlink->w * srcnn_context->conv1.output_channels * sizeof(double));
-    srcnn_context->conv2_buf = av_malloc(inlink->h * inlink->w * srcnn_context->conv2.output_channels * sizeof(double));
+    AVFilterContext* context = inlink->dst;
+    SRCNNContext* srcnn_context = context->priv;
+    DNNReturnType result;
 
-    if (!srcnn_context->input_output_buf || !srcnn_context->conv1_buf || !srcnn_context->conv2_buf){
-        av_log(context, AV_LOG_ERROR, "could not allocate memory for srcnn buffers\n");
+    srcnn_context->input_output_buf = av_malloc(inlink->h * inlink->w * sizeof(float));
+    if (!srcnn_context->input_output_buf){
+        av_log(context, AV_LOG_ERROR, "could not allocate memory for input/output buffer\n");
         return AVERROR(ENOMEM);
     }
 
-    return 0;
+    srcnn_context->input_output.data = srcnn_context->input_output_buf;
+    srcnn_context->input_output.width = inlink->w;
+    srcnn_context->input_output.height = inlink->h;
+    srcnn_context->input_output.channels = 1;
+
+    result = (srcnn_context->model->set_input_output)(srcnn_context->model->model, &srcnn_context->input_output, &srcnn_context->input_output);
+    if (result != DNN_SUCCESS){
+        av_log(context, AV_LOG_ERROR, "could not set input and output for the model\n");
+        return AVERROR(EIO);
+    }
+    else{
+        return 0;
+    }
 }
 
 typedef struct ThreadData{
@@ -238,28 +122,19 @@ typedef struct ThreadData{
     int out_linesize, height, width;
 } ThreadData;
 
-typedef struct ConvThreadData
-{
-    const Convolution* conv;
-    const double* input;
-    double* output;
-    int height, width;
-} ConvThreadData;
-
-/// Convert uint8 data to double and scale it to use in network
-static int uint8_to_double(AVFilterContext* context, void* arg, int jobnr, int nb_jobs)
+static int uint8_to_float(AVFilterContext* context, void* arg, int jobnr, int nb_jobs)
 {
     SRCNNContext* srcnn_context = context->priv;
     const ThreadData* td = arg;
     const int slice_start = (td->height *  jobnr     ) / nb_jobs;
     const int slice_end   = (td->height * (jobnr + 1)) / nb_jobs;
     const uint8_t* src = td->out + slice_start * td->out_linesize;
-    double* dst = srcnn_context->input_output_buf + slice_start * td->width;
+    float* dst = srcnn_context->input_output_buf + slice_start * td->width;
     int y, x;
 
     for (y = slice_start; y < slice_end; ++y){
         for (x = 0; x < td->width; ++x){
-            dst[x] = (double)src[x] / 255.0;
+            dst[x] = (float)src[x] / 255.0f;
         }
         src += td->out_linesize;
         dst += td->width;
@@ -268,20 +143,19 @@ static int uint8_to_double(AVFilterContext* context, void* arg, int jobnr, int n
     return 0;
 }
 
-/// Convert double data from network to uint8 and scale it to output as filter result
-static int double_to_uint8(AVFilterContext* context, void* arg, int jobnr, int nb_jobs)
+static int float_to_uint8(AVFilterContext* context, void* arg, int jobnr, int nb_jobs)
 {
     SRCNNContext* srcnn_context = context->priv;
     const ThreadData* td = arg;
     const int slice_start = (td->height *  jobnr     ) / nb_jobs;
     const int slice_end   = (td->height * (jobnr + 1)) / nb_jobs;
-    const double* src = srcnn_context->input_output_buf + slice_start * td->width;
+    const float* src = srcnn_context->input_output_buf + slice_start * td->width;
     uint8_t* dst = td->out + slice_start * td->out_linesize;
     int y, x;
 
     for (y = slice_start; y < slice_end; ++y){
         for (x = 0; x < td->width; ++x){
-            dst[x] = (uint8_t)(255.0 * FFMIN(src[x], 1.0));
+            dst[x] = (uint8_t)(255.0f * FFMIN(src[x], 1.0f));
         }
         src += td->width;
         dst += td->out_linesize;
@@ -290,45 +164,6 @@ static int double_to_uint8(AVFilterContext* context, void* arg, int jobnr, int n
     return 0;
 }
 
-#define CLAMP_TO_EDGE(x, w) ((x) < 0 ? 0 : ((x) >= (w) ? (w - 1) : (x)))
-
-static int convolve(AVFilterContext* context, void* arg, int jobnr, int nb_jobs)
-{
-    const ConvThreadData* td = arg;
-    const int slice_start = (td->height *  jobnr     ) / nb_jobs;
-    const int slice_end   = (td->height * (jobnr + 1)) / nb_jobs;
-    const double* src = td->input;
-    double* dst = td->output + slice_start * td->width * td->conv->output_channels;
-    int y, x;
-    int32_t n_filter, ch, kernel_y, kernel_x;
-    int32_t radius = td->conv->size >> 1;
-    int src_linesize = td->width * td->conv->input_channels;
-    int filter_linesize = td->conv->size * td->conv->input_channels;
-    int filter_size = td->conv->size * filter_linesize;
-
-    for (y = slice_start; y < slice_end; ++y){
-        for (x = 0; x < td->width; ++x){
-            for (n_filter = 0; n_filter < td->conv->output_channels; ++n_filter){
-                dst[n_filter] = td->conv->biases[n_filter];
-                for (ch = 0; ch < td->conv->input_channels; ++ch){
-                    for (kernel_y = 0; kernel_y < td->conv->size; ++kernel_y){
-                        for (kernel_x = 0; kernel_x < td->conv->size; ++kernel_x){
-                            dst[n_filter] += src[CLAMP_TO_EDGE(y + kernel_y - radius, td->height) * src_linesize +
-                                                 CLAMP_TO_EDGE(x + kernel_x - radius, td->width) * td->conv->input_channels + ch] *
-                                             td->conv->kernel[n_filter * filter_size + kernel_y * filter_linesize +
-                                                              kernel_x * td->conv->input_channels + ch];
-                        }
-                    }
-                }
-                dst[n_filter] = FFMAX(dst[n_filter], 0.0);
-            }
-            dst += td->conv->output_channels;
-        }
-    }
-
-    return 0;
-}
-
 static int filter_frame(AVFilterLink* inlink, AVFrame* in)
 {
     AVFilterContext* context = inlink->dst;
@@ -336,8 +171,8 @@ static int filter_frame(AVFilterLink* inlink, AVFrame* in)
     AVFilterLink* outlink = context->outputs[0];
     AVFrame* out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
     ThreadData td;
-    ConvThreadData ctd;
     int nb_threads;
+    DNNReturnType dnn_result;
 
     if (!out){
         av_log(context, AV_LOG_ERROR, "could not allocate memory for output frame\n");
@@ -349,24 +184,19 @@ static int filter_frame(AVFilterLink* inlink, AVFrame* in)
     av_frame_free(&in);
     td.out = out->data[0];
     td.out_linesize = out->linesize[0];
-    td.height = ctd.height = out->height;
-    td.width = ctd.width = out->width;
+    td.height = out->height;
+    td.width = out->width;
 
     nb_threads = ff_filter_get_nb_threads(context);
-    context->internal->execute(context, uint8_to_double, &td, NULL, FFMIN(td.height, nb_threads));
-    ctd.conv = &srcnn_context->conv1;
-    ctd.input = srcnn_context->input_output_buf;
-    ctd.output = srcnn_context->conv1_buf;
-    context->internal->execute(context, convolve, &ctd, NULL, FFMIN(ctd.height, nb_threads));
-    ctd.conv = &srcnn_context->conv2;
-    ctd.input = srcnn_context->conv1_buf;
-    ctd.output = srcnn_context->conv2_buf;
-    context->internal->execute(context, convolve, &ctd, NULL, FFMIN(ctd.height, nb_threads));
-    ctd.conv = &srcnn_context->conv3;
-    ctd.input = srcnn_context->conv2_buf;
-    ctd.output = srcnn_context->input_output_buf;
-    context->internal->execute(context, convolve, &ctd, NULL, FFMIN(ctd.height, nb_threads));
-    context->internal->execute(context, double_to_uint8, &td, NULL, FFMIN(td.height, nb_threads));
+    context->internal->execute(context, uint8_to_float, &td, NULL, FFMIN(td.height, nb_threads));
+
+    dnn_result = (srcnn_context->dnn_module->execute_model)(srcnn_context->model);
+    if (dnn_result != DNN_SUCCESS){
+        av_log(context, AV_LOG_ERROR, "failed to execute loaded model\n");
+        return AVERROR(EIO);
+    }
+
+    context->internal->execute(context, float_to_uint8, &td, NULL, FFMIN(td.height, nb_threads));
 
     return ff_filter_frame(outlink, out);
 }
@@ -375,18 +205,11 @@ static av_cold void uninit(AVFilterContext* context)
 {
     SRCNNContext* srcnn_context = context->priv;
 
-    /// Free convolution data
-    av_freep(&srcnn_context->conv1.kernel);
-    av_freep(&srcnn_context->conv1.biases);
-    av_freep(&srcnn_context->conv2.kernel);
-    av_freep(&srcnn_context->conv2.biases);
-    av_freep(&srcnn_context->conv3.kernel);
-    av_freep(&srcnn_context->conv3.kernel);
-
-    /// Free network buffers
+    if (srcnn_context->dnn_module){
+        (srcnn_context->dnn_module->free_model)(&srcnn_context->model);
+        av_freep(&srcnn_context->dnn_module);
+    }
     av_freep(&srcnn_context->input_output_buf);
-    av_freep(&srcnn_context->conv1_buf);
-    av_freep(&srcnn_context->conv2_buf);
 }
 
 static const AVFilterPad srcnn_inputs[] = {
@@ -419,3 +242,4 @@ AVFilter ff_vf_srcnn = {
     .priv_class    = &srcnn_class,
     .flags         = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
 };
+
diff --git a/libavfilter/vf_srcnn.h b/libavfilter/vf_srcnn.h
deleted file mode 100644
index 1b57bcd..0000000
--- a/libavfilter/vf_srcnn.h
+++ /dev/null
@@ -1,855 +0,0 @@
-/*
- * 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
- * Default cnn weights for x2 upsampling with srcnn filter.
- */
-#ifndef AVFILTER_SRCNN_H
-#define AVFILTER_SRCNN_H
-
-/// First convolution kernel
-static const double conv1_kernel[] = {
--0.08866337686777115, 0.055409565567970276, 0.037196505814790726, -0.11961404234170914, -0.12341991066932678, 0.2996342182159424, -0.09118170291185379, -0.00013613555347546935, -0.049023594707250595,
-0.038421183824539185, -0.07726779580116272, 0.027273094281554222, 0.45762088894844055, 0.023581644520163536, -0.20363852381706238, -0.07738441973924637, 0.07288403809070587, 0.06679897010326385,
--0.07315085083246231, 0.2665306031703949, 0.07836370915174484, -0.2898528277873993, -0.506912887096405, 0.0446651317179203, -0.06246858835220337, -0.024424826726317406, -0.029072929173707962,
--0.16884787380695343, 0.20686236023902893, -0.2536700665950775, -0.38499701023101807, -0.12601901590824127, 0.7257882356643677, 0.09588377922773361, -0.04487278312444687, -0.011251595802605152,
--0.02955852635204792, 0.2211706042289734, -0.3845316469669342, -0.053509537130594254, 0.10955915600061417, 0.3725738823413849, -0.28968045115470886, -0.10883618891239166, 0.19628790020942688,
-0.09746792912483215, -0.005647096782922745, -0.13035884499549866, 0.6254252195358276, 0.19104234874248505, -0.011692332103848457, -0.27067890763282776, -0.030754156410694122, 0.029875505715608597,
-0.016808750107884407, -0.1831790804862976, -0.16016070544719696, 0.3598291277885437, -0.1889011114835739, -0.22343340516090393, -0.11111768335103989, 0.3221142590045929, -0.18514074385166168,
--0.06647012382745743, 0.1800554096698761, -0.0356597937643528, -0.25352174043655396, -0.18370479345321655, 0.2839542329311371, 0.0030237233731895685, 0.24072711169719696, -0.1435547173023224,
-0.0474187433719635, -0.03221237286925316, -0.08801338076591492, 0.2959175109863281, 0.04108741134405136, -0.103544220328331, -0.11681117117404938, -0.010267493315041065, 0.023703521117568016,
-
--0.043954458087682724, 0.0953388437628746, 0.12233797460794449, -0.0521148182451725, 0.068812295794487, 0.0576486811041832, 0.08686650544404984, -0.12001238018274307, 0.02353638783097267,
--0.022270673885941505, -0.06377912312746048, 0.010644146241247654, -0.27824145555496216, -0.23719865083694458, -0.21418367326259613, -0.09665020555257797, 0.10458534955978394, 0.06599418818950653,
--0.031174281612038612, -0.03465353325009346, 0.022143816575407982, -0.24322354793548584, -0.08923598378896713, -0.02724810689687729, -0.09314896911382675, -0.03740973770618439, 0.07819665223360062,
-0.12521375715732574, 0.11189836263656616, 0.34981977939605713, 0.24303556978702545, 0.21350803971290588, 0.3712073266506195, 0.12192775309085846, -0.15492133796215057, 0.01884031854569912,
--0.08351074159145355, -0.305499792098999, -0.11462165415287018, -0.11833594739437103, -0.35027629137039185, -0.007749142590910196, -0.05184945464134216, -0.14423955976963043, -0.04047594219446182,
-0.18357796967029572, 0.16708122193813324, 0.0748625323176384, 0.17892862856388092, 0.12331069260835648, 0.16825254261493683, -0.040668703615665436, 0.12498869001865387, 0.12445469200611115,
--0.08529794961214066, -0.23087382316589355, -0.2426449954509735, -0.003364269156008959, -0.019013511016964912, 0.007406715769320726, -0.09762480109930038, 0.09727375954389572, -0.14308449625968933,
-0.20924511551856995, 0.047315631061792374, 0.17839451134204865, 0.20142769813537598, -0.2138431817293167, -0.16858182847499847, 0.07769212126731873, 0.11478294432163239, 0.002249526558443904,
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-0.0436096116900444, 0.06885120272636414, 0.09881002455949783, 0.031302209943532944, 0.12420085072517395, 0.15065008401870728, 0.07978155463933945, -0.027734771370887756, -0.05383369326591492,
--0.0678027868270874, 0.002182385651394725, 0.13103488087654114, 0.05609790235757828, 0.05619135499000549, 0.08134319633245468, 0.10918274521827698, 0.10301676392555237, -0.02375829964876175,
--0.08856120705604553, -0.03078402765095234, 0.08737516403198242, 0.013652728870511055, 0.01163883414119482, -0.00604214845225215, 0.056429434567689896, 0.10691829025745392, 0.041128937155008316,
--0.04340420290827751, -0.002507368801161647, 0.012957162223756313, 0.012340170331299305, 0.11861597746610641, 0.09244049340486526, 0.034744489938020706, -0.024895809590816498, 0.035870663821697235,
--0.040758680552244186, 0.013552304357290268, -0.009587780572474003, 0.01752828061580658, 0.07450903207063675, 0.0692441463470459, 0.0011354148155078292, -0.06966304779052734, 0.008092116564512253,
-0.02915072999894619, 0.04350604489445686, -0.03975748270750046, 0.014310178346931934, 0.0008435412310063839, -0.013759381137788296, 0.02635800465941429, 0.08823874592781067, 0.0821344256401062
-};
-
-/// First convolution biases
-static const double conv1_biases[] = {
--0.01660689152777195,
--0.011107334867119789,
--0.00483096856623888,
--0.048673778772354126,
--0.030040957033634186,
--0.07297247648239136,
--0.01945866458117962,
--0.009738028049468994,
-0.6951230764389038,
--0.07369442284107208,
--0.01354204025119543,
-0.010336088016629219,
--0.02956176921725273,
-0.018691286444664,
--0.02167515829205513,
-0.004088825546205044,
--0.08033090084791183,
--0.02080247923731804,
--0.00025044166250154376,
-0.015665635466575623,
--0.024439847096800804,
--0.00014609392383135855,
--5.004818376619369e-05,
--0.0011854040203616023,
--8.353819430340081e-05,
-0.0,
--0.00037626884295605123,
-0.02971580997109413,
--9.940328891389072e-05,
--0.020136557519435883,
--0.00029498152434825897,
-0.019285818561911583,
-0.005577716510742903,
--0.0700315311551094,
--0.024398552253842354,
--1.7726930309436284e-05,
-0.0050997124053537846,
--0.011211924254894257,
-0.004536128137260675,
--0.024612177163362503,
--0.0225357823073864,
--0.00016232267080340534,
--0.00017362962535116822,
--1.552602043375373e-05,
--0.06559696048498154,
--0.0065806107595562935,
-6.683926585537847e-06,
-0.0252289529889822,
--0.0013730665668845177,
-0.030351819470524788,
-0.0,
-0.003285621991381049,
-0.0055278814397752285,
-0.020766519010066986,
--0.00849062204360962,
-0.026332268491387367,
--0.04678987339138985,
-0.010329566895961761,
--0.023649320006370544,
-0.027851572260260582,
-0.05440746247768402,
--0.08068252354860306,
--0.009446502663195133,
--0.04663233831524849
-};
-
-/// Second convolution kernel
-static const double conv2_kernel[] = {
--0.24004751443862915, 0.10371380299329758, 0.11173403263092041, 0.04352091997861862, -0.2372848093509674, 0.1215374693274498, -0.23676058650016785, -0.28548064827919006, -0.6127380132675171, -0.12218937277793884, -0.06005159020423889, 0.18506519496440887, 0.16014674305915833, 0.13922938704490662, 0.2135942578315735, 0.10787945240736008, -0.26999104022979736, -0.14241325855255127, -0.0013871012488380075, -0.004951587878167629, 0.3402169644832611, 0.0005581695586442947, 4.7351106331916526e-05, 0.0037513396237045527, 0.0011569701600819826, 0.001654176157899201, -0.0011876021744683385, 0.049887992441654205, -7.201619882835075e-05, -0.17735491693019867, 0.0011244657216593623, -0.22381487488746643, 0.0035836962051689625, -0.3210694193840027, -0.16167263686656952, -0.0007922835648059845, 0.05056063085794449, 0.21074672043323517, 0.07716237753629684, -0.3315621614456177, 0.06265880912542343, 0.0002542850561439991, -0.0012989661190658808, 0.0004486947145778686, -0.41594547033309937, -0.019950004294514656, 0.0002566903131082654, 0.17913155257701874, -0.5950504541397095, 0.3259836733341217, 0.0013792524114251137, -0.08931709825992584, -0.13066786527633667, 0.21108511090278625, -0.05854453891515732, -0.11937838047742844, 0.08559372276067734, -0.11413642764091492, 0.28384047746658325, -0.011619674041867256, 0.32102328538894653, -0.20085231959819794, -0.34134379029273987, -0.029155191034078598,
-
--0.15286806225776672, -0.45100340247154236, -0.07077684253454208, 0.14408659934997559, 0.05953073874115944, -0.03657171502709389, 0.3870140314102173, -0.12762507796287537, 0.059950776398181915, 0.00540902791544795, 0.16427578032016754, -0.042501527816057205, 0.032962359488010406, -0.19972456991672516, -0.2558594048023224, -0.05479712411761284, -0.1335245817899704, 0.051931269466876984, -0.0005906695732846856, 0.14123854041099548, -0.06595169752836227, 0.0002593870449345559, 0.0004935731994919479, 0.0018757024081423879, -0.0004157331713940948, 0.0006128620007075369, -0.0008253702544607222, 0.00875023566186428, 0.000315613579005003, -0.031592708081007004, -0.0011055622017011046, 0.5397407412528992, 0.16837793588638306, 0.10016077756881714, -0.04458073899149895, -0.0008208212675526738, 0.14558495581150055, 0.05370355769991875, 0.3998671770095825, 0.3651335835456848, -6.220484647201374e-05, -0.0015507896896451712, 0.00019759316637646407, 0.001477571902796626, 0.17199119925498962, 0.20428548753261566, 0.0007169281598180532, -0.15589089691638947, 0.13173037767410278, 0.0430227592587471, 0.0005358970374800265, -0.14488573372364044, -0.056273844093084335, 0.04060659557580948, 0.12327120453119278, -0.0687263160943985, 0.1168481707572937, 0.20592212677001953, -0.07642778009176254, -0.10591034591197968, -0.2585831880569458, -0.234173983335495, 0.1204083263874054, -0.09154298901557922,
-
-0.1729278564453125, 0.12093151360750198, 0.12173106521368027, -0.17765463888645172, -0.03842559829354286, 0.1379096508026123, -0.018014583736658096, -0.00353326671756804, 0.052375391125679016, -0.013713608495891094, -0.023778876289725304, 0.08754374086856842, 0.009544276632368565, 0.002218334935605526, 0.005476833321154118, 0.14335989952087402, -0.30521509051322937, -0.027671312913298607, 0.0002961017016787082, -0.09087705612182617, 0.08001929521560669, 0.000289166287984699, 8.447665459243581e-05, 0.0032733778934925795, -0.0009773650672286749, 0.000969415414147079, 0.0023891173768788576, 0.1590563803911209, 0.00069234031252563, -0.23975391685962677, 0.0003552400739863515, -0.15277449786663055, 0.09689000993967056, -0.13403186202049255, -0.10830442607402802, -0.0011496500810608268, -0.0791272521018982, -0.04548552632331848, 0.07143749296665192, -0.11953869462013245, 0.06519463658332825, 0.0004770815430674702, -0.0012068727519363165, 0.00023571185010951012, -0.02185177616775036, -0.10972553491592407, -0.0004428153915796429, -0.06199837476015091, -0.02185823768377304, 0.13159608840942383, 0.0011464811395853758, -0.12141252309083939, -0.06273757666349411, 0.2553664743900299, 0.1002097874879837, 0.13120368123054504, 0.16516226530075073, -0.14927655458450317, 0.14413973689079285, 0.039363794028759, 0.19443942606449127, -0.01614764891564846, -0.0876186192035675, 0.08571985363960266,
-
--0.034732215106487274, 0.08880914747714996, 0.115323506295681, -0.2509199380874634, -0.18177348375320435, 0.11170994490385056, -0.06447608023881912, -0.04730312153697014, -0.13159127533435822, 0.01896033063530922, -0.2969268262386322, 0.31513679027557373, 0.016690406948328018, 0.0855814516544342, 0.01695072464644909, 0.1360795795917511, -0.008597755804657936, -0.15839214622974396, -0.0006356500089168549, 0.14604529738426208, 0.029391299933195114, -0.0021237179171293974, -0.0021662425715476274, 0.0011421579401940107, 0.00031981870415620506, -0.00031888089142739773, -0.0013892676215618849, 0.4037177860736847, 0.0010367054492235184, -0.08923333138227463, 0.001726223505102098, 0.04937814548611641, 0.03052854910492897, -0.10994968563318253, 0.041772034019231796, -0.0003509650705382228, -0.09172547608613968, -0.1121240183711052, 0.018248941749334335, -0.1032114252448082, 0.03656036779284477, -0.0008534444496035576, 0.0005108112818561494, 0.001955348066985607, -0.17280977964401245, -0.15745718777179718, 0.0016406632494181395, 0.10295743495225906, -0.056333065032958984, 0.12174493074417114, -0.00029968394665047526, -0.046295735985040665, -0.05203622952103615, 0.17915867269039154, 0.17138905823230743, 0.20149874687194824, 0.14662422239780426, -0.06499027460813522, 0.0864318460226059, 0.026575079187750816, -0.26568517088890076, -0.10079117864370346, -0.20195038616657257, 0.07289135456085205,
-
-0.20596843957901, 0.1484273374080658, 0.11689981073141098, -0.292439341545105, 0.02092818170785904, 0.14047744870185852, -0.032774657011032104, 0.013994990848004818, 0.04893071949481964, -0.0856017917394638, 0.07281561940908432, 0.0699431449174881, -0.006538144778460264, 0.08474163711071014, 0.013837413862347603, 0.10437792539596558, -0.32318544387817383, -0.033461928367614746, -0.0006234075990505517, -0.25232645869255066, 0.08134997636079788, -0.0012573037529364228, -0.00025874844868667424, 0.002164048608392477, 0.000704825681168586, 0.0008626107592135668, -0.0004994627670384943, 0.1802779585123062, 0.0005355331813916564, -0.3850158154964447, -0.000660755904391408, -0.15524353086948395, 0.0770384892821312, -0.1990944892168045, -0.04059717804193497, 0.00019839264859911054, -0.08954143524169922, -0.1745176762342453, 0.19342899322509766, -0.039949242025613785, -0.05351455509662628, 0.0010188281303271651, 0.0012863714946433902, -4.699235432781279e-05, 0.04647690802812576, -0.1538148671388626, -0.0009432003716938198, 0.06832418590784073, -0.07473438233137131, 0.19692155718803406, -0.00023191161744762212, -0.07189866900444031, -0.08010462671518326, 0.22581109404563904, 0.11592476069927216, 0.17914976179599762, 0.13195598125457764, -0.1110662892460823, 0.12462127208709717, 0.006350248120725155, 0.09321404248476028, 0.032797329127788544, 0.0406208336353302, 0.07625015079975128,
-
-0.26654642820358276, 0.006987582892179489, 0.056940462440252304, -0.21681314706802368, 0.07780187577009201, 0.0550677552819252, -0.07760556042194366, 0.03872932121157646, -0.7930355668067932, -0.1105983555316925, 0.11750592291355133, 0.13262803852558136, -0.06422358006238937, 0.02154429443180561, 0.10654937475919724, 0.05221962183713913, -0.48878803849220276, -0.22840070724487305, 0.0011379553470760584, 0.15314219892024994, 0.07926332950592041, 0.0003804231819231063, 0.0017872434109449387, 0.0007042611250653863, 0.0002458576636854559, -0.001502114930190146, 0.00033512181835249066, 0.1798011213541031, -0.00030350624001584947, -0.09183648973703384, -0.00031797270639799535, -0.17676876485347748, 0.05354951694607735, -0.30156299471855164, 0.019367441534996033, -0.00010185350402025506, -0.03712425008416176, -0.07796591520309448, -0.1688132882118225, -0.5796422958374023, 0.15654867887496948, -0.0013217078521847725, -0.001091445330530405, 0.0011883607367053628, 0.10660554468631744, -0.12484317272901535, 0.0004226503078825772, 0.09296494722366333, -0.38826271891593933, 0.2994518280029297, 0.0007777059799991548, -0.2824214696884155, -0.09771981835365295, 0.30562764406204224, 0.21152275800704956, 0.07008504122495651, 0.08235848695039749, -0.009461170062422752, 0.14994531869888306, 0.025700503960251808, 0.2208600640296936, 0.016543129459023476, -0.04067225754261017, 0.012883936055004597,
-
-0.00617796229198575, -0.013291561044752598, 0.1916685402393341, -0.017105795443058014, -0.07506846636533737, 0.18045775592327118, -0.30787673592567444, 0.04832560196518898, 0.05962129309773445, 0.1261044591665268, -0.2459549754858017, 0.12365790456533432, 0.028636902570724487, -0.006177236791700125, -0.04891420155763626, 0.16809219121932983, -0.10486529022455215, -0.10494883358478546, -0.0004520704969763756, 0.23579229414463043, 0.05076323449611664, -0.001182716921903193, -0.0001052700899890624, 0.0018256279872730374, 0.0008991276263259351, -0.001528103486634791, -0.0005336360190995038, 0.16323579847812653, 0.0020393324084579945, 0.015845002606511116, 0.0016316768014803529, -0.06386037170886993, 0.0540936253964901, -0.14962895214557648, -0.014346976764500141, 0.0012925119372084737, -0.12354017049074173, 0.016353895887732506, -0.2519243061542511, -0.042811259627342224, 0.19090451300144196, -0.00022991615696810186, 0.0018943509785458446, -0.0005430503515526652, -0.11097119003534317, -0.05055755749344826, -0.001144487177953124, -0.002318614162504673, -0.11912520974874496, -0.022436127066612244, 0.00014450220623984933, -0.1372481733560562, -0.02418547123670578, 0.24273015558719635, 0.1387740820646286, 0.1362992823123932, 0.15725626051425934, -0.157984659075737, 0.10887137055397034, 0.07719193398952484, 0.09739567339420319, -0.09165967255830765, -0.2062297910451889, 0.11893536150455475,
-
--0.09508167952299118, -0.07543941587209702, 0.2706283628940582, 0.08787128329277039, 0.10140055418014526, 0.26852965354919434, -0.5909307599067688, 0.19821986556053162, 0.08937512338161469, 0.05567803606390953, -0.11613370478153229, 0.03911638632416725, 0.06315726786851883, 0.10782184451818466, -0.01980738714337349, 0.1451241374015808, -0.060943953692913055, -0.07014007121324539, 0.00016978045459836721, 0.17468222975730896, 0.06063257157802582, -7.286974141607061e-05, 0.0005939672118984163, 0.0018404772272333503, 0.001129048760049045, 0.00019233254715800285, 0.0019600382074713707, 0.07629802823066711, 0.0003428335185162723, -0.0005339051713235676, -0.00011325302330078557, -0.03201869875192642, 0.04179591313004494, -0.3185126781463623, 0.08271040767431259, 0.0021725951228290796, -0.16681934893131256, -0.031819552183151245, -0.3288743495941162, 0.0464513823390007, 0.17611919343471527, 0.000690086861141026, 7.961438677739352e-05, -0.00019473303109407425, -0.0969485193490982, -0.03324940800666809, -0.0008172128000296652, 0.22586534917354584, -0.2223370373249054, -0.05459794029593468, -9.828664769884199e-05, -0.14924103021621704, -0.03904952108860016, 0.2069503366947174, 0.07704979181289673, 0.1661059856414795, 0.14414143562316895, -0.23807625472545624, 0.10244176536798477, 0.09765428304672241, 0.08840622752904892, -0.024117084220051765, 0.0006691144080832601, 0.1786615550518036,
-
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-
-0.0005521097918972373, 0.017729170620441437, -0.1722581833600998, 0.0037039422895759344, 0.001567360362969339, -0.10055038332939148, 0.021108632907271385, 0.020772647112607956, 0.14595064520835876, -0.04253007844090462, 0.013751122169196606, 0.0076897949911653996, 0.04191797226667404, 0.01694018393754959, 0.002107905922457576, -0.06683442741632462, 0.020539015531539917, 0.02914385125041008, -7.801321044098586e-05, 0.00048368109855800867, -0.01766815409064293, -0.0005448150914162397, 0.0010524365352466702, -0.0007671643979847431, -0.00012459020945243537, 0.0008768694824539125, -0.0005135779501870275, -0.0037997858598828316, 0.00038613981450907886, 0.014108768664300442, 0.0006932157557457685, -0.0067222160287201405, -0.0209006667137146, 0.026551542803645134, -0.0011496779043227434, -0.0007507435511797667, 0.02834414131939411, 0.009201196022331715, 0.0057718404568731785, 0.02169930189847946, -0.014502635225653648, -3.491714596748352e-05, -0.0003578605828806758, -0.001178428647108376, 0.06057244539260864, 0.020316433161497116, -0.0011969138868153095, -0.04873412102460861, 0.023842258378863335, -0.023542333394289017, 0.0017061911057680845, 0.021966224536299706, 0.0003367953177075833, -0.1909828633069992, 0.06507214158773422, -0.02517489530146122, -0.04564562439918518, 0.030473219230771065, -0.035557761788368225, 0.0190313421189785, 0.025006592273712158, 0.0028738449327647686, 0.013087435625493526, -0.017678551375865936,
-
-0.5722816586494446, 0.44931724667549133, 0.033467985689640045, -0.05215294659137726, -0.1651076078414917, 0.09514902532100677, -0.2535097599029541, -0.31727728247642517, 0.020857004448771477, 0.01630846969783306, -0.09314350038766861, 0.1957118958234787, -0.39591383934020996, 0.26922011375427246, 0.3317633271217346, 0.11175347119569778, -0.2671031951904297, -0.056412164121866226, -0.0015118089504539967, 0.2937302589416504, 0.1793442815542221, -0.001025194302201271, 0.0010095476172864437, 0.0035850228741765022, 0.0006587953539565206, 0.000939257733989507, 0.0003379232657607645, 0.3479364216327667, -0.0004258739354554564, -0.0808158591389656, 0.00038307232898660004, -0.011362356133759022, -0.0033058011904358864, -0.08819703757762909, -0.32478445768356323, -0.0011537037789821625, -0.273912638425827, -0.11553899198770523, 0.17199908196926117, -0.0041303266771137714, 0.41343948245048523, 0.0003570480039343238, 0.0014987858012318611, 0.0013575225602835417, -0.55711829662323, -0.28808870911598206, -0.002448621904477477, 0.17940248548984528, -0.20062221586704254, 0.31715089082717896, 0.0008355412282980978, -0.07066480815410614, -0.13722951710224152, -0.10970398038625717, 0.05873332545161247, 0.24034948647022247, 0.182510644197464, 0.11015398055315018, 0.24339579045772552, -0.04150482639670372, 0.19960984587669373, -0.15185965597629547, -0.27342841029167175, 0.13767993450164795,
-
-0.22348885238170624, -0.008877726271748543, -0.171895369887352, -0.43331223726272583, 0.20232950150966644, 0.043170031160116196, -0.36004438996315, -0.006740920711308718, 0.18264558911323547, -0.11805032193660736, -0.07412461191415787, 0.032417088747024536, 0.051556725054979324, 0.08561589568853378, 0.4091699719429016, -0.0786430686712265, -0.22887086868286133, -0.2439272403717041, 0.00014124371227808297, 0.6468839049339294, -0.036077044904232025, -0.0014531002379953861, -0.0011161002330482006, 0.003305896883830428, 0.0017938324017450213, -3.7506528315134346e-05, -0.0016759017016738653, 0.40134409070014954, -0.0007333348621614277, -0.2809791564941406, -0.001019181334413588, 0.019602011889219284, 0.09314858913421631, -0.5306268334388733, 0.17580009996891022, -1.5525150956818834e-05, -0.2091640830039978, -0.6634456515312195, -0.14848995208740234, -0.06595541536808014, -0.034880805760622025, -1.1966582178501994e-06, 0.00036120228469371796, -0.0012568037491291761, -0.10609765350818634, -0.5816946625709534, -0.0006648825947195292, 0.4456590414047241, -0.512170672416687, 0.24637466669082642, 0.0010917421896010637, -0.23795755207538605, -0.2328575998544693, -0.07656370103359222, 0.33030301332473755, 0.2731899917125702, 0.09424741566181183, -0.1698189079761505, 0.01702292636036873, -0.10659436136484146, 0.11089695990085602, -0.08941251039505005, -0.35293179750442505, 0.06545879691839218
-};
-
-/// Second convolution biases
-static const double conv2_biases[] = {
-0.12326373159885406,
-0.13270756602287292,
-0.07082673907279968,
-0.051456157118082047,
-0.05844561755657196,
-0.1315319687128067,
-0.08097290247678757,
-0.10153213143348694,
-0.055915363132953644,
-0.052281659096479416,
--0.11212895810604095,
-0.07462140917778015,
--0.10300768911838531,
-0.108175128698349,
-0.15686865150928497,
-0.18225829303264618,
-0.06780990958213806,
--0.027867194265127182,
-0.10957542806863785,
-0.03425288572907448,
-0.05988423153758049,
--0.04818560183048248,
-0.07478125393390656,
--0.07338137924671173,
--0.022100606933236122,
--0.04947621747851372,
-0.00016185229469556361,
-0.16787314414978027,
--0.08640440553426743,
-0.060469429939985275,
--0.17337509989738464,
-0.26549988985061646
-};
-
-/// Third convolution kernel
-static const double conv3_kernel[] = {
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-};
-
-/// Third convolution biases
-static const double conv3_biases[] = {
-0.05037664
-};
-#endif