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authorShubhanshu Saxena <shubhanshu.e01@gmail.com>2022-03-02 23:35:50 +0530
committerGuo Yejun <yejun.guo@intel.com>2022-03-12 15:10:28 +0800
commitb602f11a0671273dcf08607c37197a41c437463e (patch)
treee956d6ca6872642bb83a3f1a2ea3b9cfdb6ee04a /libavfilter/dnn
parente5ce6a60708fb9cd2ec46f6302c3bc943e330f16 (diff)
downloadffmpeg-b602f11a0671273dcf08607c37197a41c437463e.tar.gz
lavfi/dnn: Error Specificity in Native Backend Layers
This commit returns specific error codes from the execution functions in the Native Backend layers instead of DNN_ERROR. Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
Diffstat (limited to 'libavfilter/dnn')
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_avgpool.c6
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_avgpool.h3
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_conv2d.c14
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_conv2d.h3
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_dense.c6
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_dense.h3
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_depth2space.c6
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_depth2space.h3
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathbinary.c6
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathunary.c6
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_mathunary.h3
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_maximum.c4
-rw-r--r--libavfilter/dnn/dnn_backend_native_layer_pad.c4
13 files changed, 37 insertions, 30 deletions
diff --git a/libavfilter/dnn/dnn_backend_native_layer_avgpool.c b/libavfilter/dnn/dnn_backend_native_layer_avgpool.c
index 89f1787523..510a28a8c9 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_avgpool.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_avgpool.c
@@ -109,12 +109,12 @@ int ff_dnn_execute_layer_avg_pool(DnnOperand *operands, const int32_t *input_ope
output_operand->length = ff_calculate_operand_data_length(output_operand);
if (output_operand->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
output = output_operand->data;
@@ -143,5 +143,5 @@ int ff_dnn_execute_layer_avg_pool(DnnOperand *operands, const int32_t *input_ope
}
}
- return 0;
+ return DNN_SUCCESS;
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_avgpool.h b/libavfilter/dnn/dnn_backend_native_layer_avgpool.h
index d8972487de..118a160090 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_avgpool.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_avgpool.h
@@ -60,7 +60,8 @@ int ff_dnn_load_layer_avg_pool(Layer *layer, AVIOContext *model_file_context, in
* @param parameters average pooling parameters
* @param ctx pointer to Native model context for logging
* @retval 0 if the execution succeeds
- * @retval DNN_ERROR if the execution fails
+ * @retval AVERROR(ENOMEM) if memory allocation fails
+ * @retval AVERROR(EINVAL) for invalid arguments
*/
int ff_dnn_execute_layer_avg_pool(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
diff --git a/libavfilter/dnn/dnn_backend_native_layer_conv2d.c b/libavfilter/dnn/dnn_backend_native_layer_conv2d.c
index 7a60aa6a4b..dfa0d1ed36 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_conv2d.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_conv2d.c
@@ -211,12 +211,12 @@ int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_opera
output_operand->length = ff_calculate_operand_data_length(output_operand);
if (output_operand->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
tmp = av_realloc(output_operand->data, output_operand->length);
if (!tmp) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
output_operand->data = tmp;
thread_common_param.output_data = output_operand->data;
@@ -229,17 +229,19 @@ int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_opera
#if HAVE_PTHREAD_CANCEL
thread_param = av_malloc_array(thread_num, sizeof(*thread_param));
if (!thread_param)
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
thread_stride = (height - pad_size * 2) / thread_num;
//create threads
for (int i = 0; i < thread_num; i++){
+ int thread_ret = 0;
thread_param[i].thread_common_param = &thread_common_param;
thread_param[i].thread_start = thread_stride * i + pad_size;
thread_param[i].thread_end = (i == thread_num - 1) ? (height - pad_size) : (thread_param[i].thread_start + thread_stride);
- if (pthread_create(&thread_param[i].thread, NULL,
- dnn_execute_layer_conv2d_thread, &thread_param[i])) {
+ thread_ret = pthread_create(&thread_param[i].thread, NULL,
+ dnn_execute_layer_conv2d_thread, &thread_param[i]);
+ if (thread_ret) {
thread_num = i;
- ret = DNN_ERROR;
+ ret = AVERROR(thread_ret);
break;
}
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_conv2d.h b/libavfilter/dnn/dnn_backend_native_layer_conv2d.h
index 446f48f608..f754a9ba18 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_conv2d.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_conv2d.h
@@ -60,7 +60,8 @@ int ff_dnn_load_layer_conv2d(Layer *layer, AVIOContext *model_file_context, int
* @param parameters convolution parameters
* @param ctx pointer to Native model context for logging
* @retval 0 if the execution succeeds
- * @retval DNN_ERROR if the execution fails
+ * @retval AVERROR(ENOMEM) if memory allocation fails
+ * @retval AVERROR(EINVAL) for invalid arguments
*/
int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
diff --git a/libavfilter/dnn/dnn_backend_native_layer_dense.c b/libavfilter/dnn/dnn_backend_native_layer_dense.c
index 117590d7bb..a22a484464 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_dense.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_dense.c
@@ -104,12 +104,12 @@ int ff_dnn_execute_layer_dense(DnnOperand *operands, const int32_t *input_operan
output_operand->length = ff_calculate_operand_data_length(output_operand);
if (output_operand->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
output = output_operand->data;
@@ -147,5 +147,5 @@ int ff_dnn_execute_layer_dense(DnnOperand *operands, const int32_t *input_operan
output += dense_params->output_num;
}
}
- return 0;
+ return DNN_SUCCESS;
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_dense.h b/libavfilter/dnn/dnn_backend_native_layer_dense.h
index 0488b03cc3..607fc3e684 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_dense.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_dense.h
@@ -57,7 +57,8 @@ int ff_dnn_load_layer_dense(Layer *layer, AVIOContext *model_file_context, int f
* @param parameters dense layer parameters
* @param ctx pointer to Native model context for logging
* @retval 0 if the execution succeeds
- * @retval DNN_ERROR if the execution fails
+ * @retval AVERROR(ENOMEM) if memory allocation fails
+ * @retval AVERROR(EINVAL) for invalid arguments
*/
int ff_dnn_execute_layer_dense(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
diff --git a/libavfilter/dnn/dnn_backend_native_layer_depth2space.c b/libavfilter/dnn/dnn_backend_native_layer_depth2space.c
index 30ced43cd5..82b1a52be2 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_depth2space.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_depth2space.c
@@ -76,12 +76,12 @@ int ff_dnn_execute_layer_depth2space(DnnOperand *operands, const int32_t *input_
output_operand->length = ff_calculate_operand_data_length(output_operand);
if (output_operand->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
output = output_operand->data;
@@ -98,5 +98,5 @@ int ff_dnn_execute_layer_depth2space(DnnOperand *operands, const int32_t *input_
}
output += output_linesize;
}
- return 0;
+ return DNN_SUCCESS;
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_depth2space.h b/libavfilter/dnn/dnn_backend_native_layer_depth2space.h
index 2792a33ebe..aaf2df4c13 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_depth2space.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_depth2space.h
@@ -63,7 +63,8 @@ int ff_dnn_load_layer_depth2space(Layer *layer, AVIOContext *model_file_context,
* @param parameters depth to space layer parameters
* @param ctx pointer to Native model context for logging
* @retval 0 if the execution succeeds
- * @retval DNN_ERROR if the execution fails
+ * @retval AVERROR(ENOMEM) if memory allocation fails
+ * @retval AVERROR(EINVAL) for invalid arguments
*/
int ff_dnn_execute_layer_depth2space(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
index 81901c56d9..1a3fa3f132 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
@@ -159,12 +159,12 @@ int ff_dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_
output->length = ff_calculate_operand_data_length(output);
if (output->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output->data = av_realloc(output->data, output->length);
if (!output->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
switch (params->bin_op) {
@@ -188,6 +188,6 @@ int ff_dnn_execute_layer_math_binary(DnnOperand *operands, const int32_t *input_
return 0;
default:
av_log(ctx, AV_LOG_ERROR, "Unmatch math binary operator\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.c b/libavfilter/dnn/dnn_backend_native_layer_mathunary.c
index b8694910d9..e3c5106e5e 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.c
@@ -68,12 +68,12 @@ int ff_dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_o
output->length = ff_calculate_operand_data_length(output);
if (output->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output->data = av_realloc(output->data, output->length);
if (!output->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
dims_count = ff_calculate_operand_dims_count(output);
@@ -151,6 +151,6 @@ int ff_dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_o
return 0;
default:
av_log(ctx, AV_LOG_ERROR, "Unmatch math unary operator\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
}
diff --git a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
index ed79947896..806e73b29f 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
+++ b/libavfilter/dnn/dnn_backend_native_layer_mathunary.h
@@ -83,7 +83,8 @@ int ff_dnn_load_layer_math_unary(Layer *layer, AVIOContext *model_file_context,
* @param parameters unary math layer parameters
* @param ctx pointer to Native model context for logging
* @retval 0 if the execution succeeds
- * @retval DNN_ERROR if the execution fails
+ * @retval AVERROR(ENOMEM) if memory allocation fails
+ * @retval AVERROR(EINVAL) for invalid arguments
*/
int ff_dnn_execute_layer_math_unary(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx);
diff --git a/libavfilter/dnn/dnn_backend_native_layer_maximum.c b/libavfilter/dnn/dnn_backend_native_layer_maximum.c
index a38759eeee..667efaa3b8 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_maximum.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_maximum.c
@@ -65,12 +65,12 @@ int ff_dnn_execute_layer_maximum(DnnOperand *operands, const int32_t *input_oper
output->length = ff_calculate_operand_data_length(output);
if (output->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output->data = av_realloc(output->data, output->length);
if (!output->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
dims_count = ff_calculate_operand_dims_count(output);
diff --git a/libavfilter/dnn/dnn_backend_native_layer_pad.c b/libavfilter/dnn/dnn_backend_native_layer_pad.c
index a60451a8de..e274fe12c6 100644
--- a/libavfilter/dnn/dnn_backend_native_layer_pad.c
+++ b/libavfilter/dnn/dnn_backend_native_layer_pad.c
@@ -113,12 +113,12 @@ int ff_dnn_execute_layer_pad(DnnOperand *operands, const int32_t *input_operand_
output_operand->length = ff_calculate_operand_data_length(output_operand);
if (output_operand->length <= 0) {
av_log(ctx, AV_LOG_ERROR, "The output data length overflow\n");
- return DNN_ERROR;
+ return AVERROR(EINVAL);
}
output_operand->data = av_realloc(output_operand->data, output_operand->length);
if (!output_operand->data) {
av_log(ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n");
- return DNN_ERROR;
+ return AVERROR(ENOMEM);
}
output = output_operand->data;