[FFmpeg-devel] [PATCH V5 1/2] dnn_backend_native_layer_mathbinary: change to function pointer
Mingyu Yin
mingyu.yin at intel.com
Sun Aug 23 18:12:12 EEST 2020
Signed-off-by: Mingyu Yin <mingyu.yin at intel.com>
---
.../dnn/dnn_backend_native_layer_mathbinary.c | 143 +++++++++---------
1 file changed, 73 insertions(+), 70 deletions(-)
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
index dd42c329a9..38742db7a6 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
@@ -27,6 +27,74 @@
#include "libavutil/avassert.h"
#include "dnn_backend_native_layer_mathbinary.h"
+typedef float (*FunType)(float src0, float src1);
+FunType pfun;
+
+static float sub(float src0, float src1)
+{
+ return src0 - src1;
+}
+static float add(float src0, float src1)
+{
+ return src0 + src1;
+}
+static float mul(float src0, float src1)
+{
+ return src0 * src1;
+}
+static float realdiv(float src0, float src1)
+{
+ return src0 / src1;
+}
+static float minimum(float src0, float src1)
+{
+ return FFMIN(src0, src1);
+}
+
+static void math_binary_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
+{
+ int dims_count;
+ const float *src;
+ float *dst;
+ dims_count = calculate_operand_dims_count(output);
+ src = input->data;
+ dst = output->data;
+ if (params->input0_broadcast || params->input1_broadcast) {
+ for (int i = 0; i < dims_count; ++i) {
+ dst[i] = pfun(params->v, src[i]);
+ }
+ } else {
+ const DnnOperand *input1 = &operands[input_operand_indexes[1]];
+ const float *src1 = input1->data;
+ for (int i = 0; i < dims_count; ++i) {
+ dst[i] = pfun(src[i], src1[i]);
+ }
+ }
+}
+static void math_binary_not_commutative(FunType pfun, const DnnLayerMathBinaryParams *params, const DnnOperand *input, DnnOperand *output, DnnOperand *operands, const int32_t *input_operand_indexes)
+{
+ int dims_count;
+ const float *src;
+ float *dst;
+ dims_count = calculate_operand_dims_count(output);
+ src = input->data;
+ dst = output->data;
+ if (params->input0_broadcast) {
+ for (int i = 0; i < dims_count; ++i) {
+ dst[i] = pfun(params->v, src[i]);
+ }
+ } else if (params->input1_broadcast) {
+ for (int i = 0; i < dims_count; ++i) {
+ dst[i] = pfun(src[i], params->v);
+ }
+ } else {
+ const DnnOperand *input1 = &operands[input_operand_indexes[1]];
+ const float *src1 = input1->data;
+ for (int i = 0; i < dims_count; ++i) {
+ dst[i] = pfun(src[i], src1[i]);
+ }
+ }
+}
int dnn_load_layer_math_binary(Layer *layer, AVIOContext *model_file_context, int file_size, int operands_num)
{
DnnLayerMathBinaryParams *params;
@@ -82,9 +150,6 @@ int dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_ope
const DnnOperand *input = &operands[input_operand_indexes[0]];
DnnOperand *output = &operands[output_operand_index];
const DnnLayerMathBinaryParams *params = (const DnnLayerMathBinaryParams *)parameters;
- int dims_count;
- const float *src;
- float *dst;
for (int i = 0; i < 4; ++i)
output->dims[i] = input->dims[i];
@@ -97,83 +162,21 @@ int dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_ope
if (!output->data)
return DNN_ERROR;
- dims_count = calculate_operand_dims_count(output);
- src = input->data;
- dst = output->data;
-
switch (params->bin_op) {
case DMBO_SUB:
- if (params->input0_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = params->v - src[i];
- }
- } else if (params->input1_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = src[i] - params->v;
- }
- } else {
- const DnnOperand *input1 = &operands[input_operand_indexes[1]];
- const float *src1 = input1->data;
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = src[i] - src1[i];
- }
- }
+ math_binary_not_commutative(sub, params, input, output, operands, input_operand_indexes);
return 0;
case DMBO_ADD:
- if (params->input0_broadcast || params->input1_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = params->v + src[i];
- }
- } else {
- const DnnOperand *input1 = &operands[input_operand_indexes[1]];
- const float *src1 = input1->data;
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = src[i] + src1[i];
- }
- }
+ math_binary_commutative(add, params, input, output, operands, input_operand_indexes);
return 0;
case DMBO_MUL:
- if (params->input0_broadcast || params->input1_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = params->v * src[i];
- }
- } else {
- const DnnOperand *input1 = &operands[input_operand_indexes[1]];
- const float *src1 = input1->data;
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = src[i] * src1[i];
- }
- }
+ math_binary_commutative(mul, params, input, output, operands, input_operand_indexes);
return 0;
case DMBO_REALDIV:
- if (params->input0_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = params->v / src[i];
- }
- } else if (params->input1_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = src[i] / params->v;
- }
- } else {
- const DnnOperand *input1 = &operands[input_operand_indexes[1]];
- const float *src1 = input1->data;
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = src[i] / src1[i];
- }
- }
+ math_binary_not_commutative(realdiv, params, input, output, operands, input_operand_indexes);
return 0;
case DMBO_MINIMUM:
- if (params->input0_broadcast || params->input1_broadcast) {
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = FFMIN(params->v, src[i]);
- }
- } else {
- const DnnOperand *input1 = &operands[input_operand_indexes[1]];
- const float *src1 = input1->data;
- for (int i = 0; i < dims_count; ++i) {
- dst[i] = FFMIN(src[i], src1[i]);
- }
- }
+ math_binary_commutative(minimum, params, input, output, operands, input_operand_indexes);
return 0;
default:
return -1;
--
2.17.1
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