[FFmpeg-devel] [PATCH 1/2] dnn: add layer pad which is equivalent to tf.pad
Guo, Yejun
yejun.guo at intel.com
Mon Jul 1 11:08:27 EEST 2019
the reason to add this layer first is that vf_sr uses it in its
tensorflow model, and the next plan is to update the python script
to convert tf.pad into native model.
Signed-off-by: Guo, Yejun <yejun.guo at intel.com>
---
libavfilter/dnn/Makefile | 1 +
libavfilter/dnn/dnn_backend_native_layer_pad.c | 211 +++++++++++++++++++++++++
libavfilter/dnn/dnn_backend_native_layer_pad.h | 40 +++++
3 files changed, 252 insertions(+)
create mode 100644 libavfilter/dnn/dnn_backend_native_layer_pad.c
create mode 100644 libavfilter/dnn/dnn_backend_native_layer_pad.h
diff --git a/libavfilter/dnn/Makefile b/libavfilter/dnn/Makefile
index 1d12ade..83938e5 100644
--- a/libavfilter/dnn/Makefile
+++ b/libavfilter/dnn/Makefile
@@ -1,5 +1,6 @@
OBJS-$(CONFIG_DNN) += dnn/dnn_interface.o
OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native.o
+OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_pad.o
DNN-OBJS-$(CONFIG_LIBTENSORFLOW) += dnn/dnn_backend_tf.o
diff --git a/libavfilter/dnn/dnn_backend_native_layer_pad.c b/libavfilter/dnn/dnn_backend_native_layer_pad.c
new file mode 100644
index 0000000..aa12f7f
--- /dev/null
+++ b/libavfilter/dnn/dnn_backend_native_layer_pad.c
@@ -0,0 +1,211 @@
+/*
+ * Copyright (c) 2019 Guo Yejun
+ *
+ * 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
+ */
+
+#include <string.h>
+#include "libavutil/avassert.h"
+#include "dnn_backend_native_layer_pad.h"
+
+static int before_get_buddy(int given, int paddings, LayerPadModeParam mode)
+{
+ if (mode == LPMP_SYMMETRIC) {
+ return (2 * paddings - 1 - given);
+ } else if (mode == LPMP_REFLECT) {
+ return (2 * paddings - given);
+ } else {
+ av_assert0(!"should not reach here");
+ return 0;
+ }
+}
+
+static int after_get_buddy(int given, int border, LayerPadModeParam mode)
+{
+ if (mode == LPMP_SYMMETRIC) {
+ int offset = given - border;
+ return (border - 1 - offset);
+ } else if (mode == LPMP_REFLECT) {
+ int offset = given - border;
+ return (border - 2 - offset);
+ } else {
+ av_assert0(!"should not reach here");
+ return 0;
+ }
+}
+
+void dnn_execute_layer_pad(const float *input, float *output, const LayerPadParams *params, int number, int height, int width, int channel)
+{
+ int32_t before_paddings;
+ int32_t after_paddings;
+
+ // suppose format is <N, H, W, C>
+ int new_number = number + params->paddings[0][0] + params->paddings[0][1];
+ int new_height = height + params->paddings[1][0] + params->paddings[1][1];
+ int new_width = width + params->paddings[2][0] + params->paddings[2][1];
+ int new_channel = channel + params->paddings[3][0] + params->paddings[3][1];
+
+ int c_stride = channel;
+ int wc_stride = c_stride * width;
+ int hwc_stride = wc_stride * height;
+
+ int new_c_stride = new_channel;
+ int new_wc_stride = new_c_stride * new_width;
+ int new_hwc_stride = new_wc_stride * new_height;
+
+ // copy the original data
+ for (int n = 0; n < number; n++) {
+ for (int h = 0; h < height; h++) {
+ for (int w = 0; w < width; w++) {
+ const float *src = input + n * hwc_stride + h * wc_stride + w * c_stride;
+ float *dst = output + (n + params->paddings[0][0]) * new_hwc_stride
+ + (h + params->paddings[1][0]) * new_wc_stride
+ + (w + params->paddings[2][0]) * new_c_stride
+ + params->paddings[3][0];
+ memcpy(dst, src, channel * sizeof(float));
+ }
+ }
+ }
+
+ // handle the first dimension
+ before_paddings = params->paddings[0][0];
+ after_paddings = params->paddings[0][1];
+ for (int n = 0; n < before_paddings; n++) {
+ float *dst = output + n * new_hwc_stride;
+ if (params->mode == LPMP_CONSTANT) {
+ for (int i = 0; i < new_hwc_stride; i++) {
+ *dst = params->constant_values;
+ }
+ }
+ else {
+ int buddy = before_get_buddy(n, before_paddings, params->mode);
+ float *src = output + buddy * new_hwc_stride;
+ memcpy(dst, src, new_hwc_stride * sizeof(float));
+ }
+ }
+ for (int n = 0; n < after_paddings; n++) {
+ int given = number + before_paddings + n;
+ float *dst = output + given * new_hwc_stride;
+ if (params->mode == LPMP_CONSTANT) {
+ for (int i = 0; i < new_hwc_stride; i++) {
+ *dst = params->constant_values;
+ }
+ } else {
+ int buddy = after_get_buddy(given, number + before_paddings, params->mode);
+ float *src = output + buddy * new_hwc_stride;
+ memcpy(dst, src, new_hwc_stride * sizeof(float));
+ }
+ }
+
+ // handle the second dimension
+ before_paddings = params->paddings[1][0];
+ after_paddings = params->paddings[1][1];
+ for (int n = 0; n < new_number; n++) {
+ float *start = output + n * new_hwc_stride;
+ for (int h = 0; h < before_paddings; h++) {
+ float *dst = start + h * new_wc_stride;
+ if (params->mode == LPMP_CONSTANT) {
+ for (int i = 0; i < new_wc_stride; i++) {
+ *dst = params->constant_values;
+ }
+ } else {
+ int buddy = before_get_buddy(h, before_paddings, params->mode);
+ float *src = start + buddy * new_wc_stride;
+ memcpy(dst, src, new_wc_stride * sizeof(float));
+ }
+ }
+ for (int h = 0; h < after_paddings; h++) {
+ int given = height + before_paddings + h;
+ float *dst = start + given * new_wc_stride;
+ if (params->mode == LPMP_CONSTANT) {
+ for (int i = 0; i < new_wc_stride; i++) {
+ *dst = params->constant_values;
+ }
+ } else {
+ int buddy = after_get_buddy(given, height + before_paddings, params->mode);
+ float *src = start + buddy * new_wc_stride;
+ memcpy(dst, src, new_wc_stride * sizeof(float));
+ }
+ }
+ }
+
+ // handle the third dimension
+ before_paddings = params->paddings[2][0];
+ after_paddings = params->paddings[2][1];
+ for (int n = 0; n < new_number; n++) {
+ for (int h = 0; h < new_height; h++) {
+ float *start = output + n * new_hwc_stride + h * new_wc_stride;
+ for (int w = 0; w < before_paddings; w++) {
+ float *dst = start + w * new_c_stride;
+ if (params->mode == LPMP_CONSTANT) {
+ for (int i = 0; i < new_c_stride; i++) {
+ *dst = params->constant_values;
+ }
+ } else {
+ int buddy = before_get_buddy(w, before_paddings, params->mode);
+ float *src = start + buddy * new_c_stride;
+ memcpy(dst, src, new_c_stride * sizeof(float));
+ }
+ }
+ for (int w = 0; w < after_paddings; w++) {
+ int given = width + before_paddings + w;
+ float *dst = start + given * new_c_stride;
+ if (params->mode == LPMP_CONSTANT) {
+ for (int i = 0; i < new_c_stride; i++) {
+ *dst = params->constant_values;
+ }
+ } else {
+ int buddy = after_get_buddy(given, width + before_paddings, params->mode);
+ float *src = start + buddy * new_c_stride;
+ memcpy(dst, src, new_c_stride * sizeof(float));
+ }
+ }
+ }
+ }
+
+ // handle the fourth dimension
+ before_paddings = params->paddings[3][0];
+ after_paddings = params->paddings[3][1];
+ for (int n = 0; n < new_number; n++) {
+ for (int h = 0; h < new_height; h++) {
+ for (int w = 0; w < new_width; w++) {
+ float *start = output + n * new_hwc_stride + h * new_wc_stride + w * new_c_stride;
+ for (int c = 0; c < before_paddings; c++) {
+ float *dst = start + c;
+ if (params->mode == LPMP_CONSTANT) {
+ *dst = params->constant_values;
+ } else {
+ int buddy = before_get_buddy(c, before_paddings, params->mode);
+ float *src = start + buddy;
+ *dst = *src;
+ }
+ }
+ for (int c = 0; c < after_paddings; c++) {
+ int given = channel + before_paddings + c;
+ float *dst = start + given;
+ if (params->mode == LPMP_CONSTANT) {
+ *dst = params->constant_values;
+ } else {
+ int buddy = after_get_buddy(given, channel + before_paddings, params->mode);
+ float *src = start + buddy;
+ *dst = *src;
+ }
+ }
+ }
+ }
+ }
+}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_pad.h b/libavfilter/dnn/dnn_backend_native_layer_pad.h
new file mode 100644
index 0000000..465e96a
--- /dev/null
+++ b/libavfilter/dnn/dnn_backend_native_layer_pad.h
@@ -0,0 +1,40 @@
+/*
+ * Copyright (c) 2019 Guo Yejun
+ *
+ * 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
+ * layer pad (equivalent to tf.pad) for native backend.
+ */
+#include <stdint.h>
+
+#ifndef AVFILTER_DNN_BACKEND_NATIVE_LAYER_PAD_H
+#define AVFILTER_DNN_BACKEND_NATIVE_LAYER_PAD_H
+
+typedef enum {LPMP_CONSTANT, LPMP_REFLECT, LPMP_SYMMETRIC} LayerPadModeParam;
+
+typedef struct LayerPadParams{
+ int32_t paddings[4][2];
+ LayerPadModeParam mode;
+ float constant_values;
+} LayerPadParams;
+
+void dnn_execute_layer_pad(const float *input, float *output, const LayerPadParams *params, int number, int height, int width, int channel);
+
+#endif
--
2.7.4
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