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Code Issues Releases Activity

dnn/dnn_backend_native_layer_conv2d: Avoid allocation when single-threaded

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Also fixes a memleak in single-threaded mode when an error happens
in preparing the output data buffer; and also removes an unchecked
allocation.

Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
This commit is contained in:
Andreas Rheinhardt 2021-03-10 17:03:01 +01:00
parent 639b3bbbc7
commit 16e36d5c0c
1 changed files with 9 additions and 9 deletions
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18
libavfilter/dnn/dnn_backend_native_layer_conv2d.c
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@ -187,12 +187,14 @@ static void * dnn_execute_layer_conv2d_thread(void *threadarg)
int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes,
int32_t output_operand_index, const void *parameters, NativeContext *ctx)
{
#if HAVE_PTHREAD_CANCEL
int thread_num = (ctx->options.conv2d_threads <= 0 || ctx->options.conv2d_threads > av_cpu_count())
? (av_cpu_count() + 1) : (ctx->options.conv2d_threads);
#if HAVE_PTHREAD_CANCEL
int thread_stride;
#endif
ThreadParam **thread_param = av_malloc_array(thread_num, sizeof(*thread_param));
#else
ThreadParam thread_param = { 0 };
#endif
ThreadCommonParam thread_common_param;
const ConvolutionalParams *conv_params = parameters;
int height = operands[input_operand_indexes[0]].dims[1];
@ -244,15 +246,13 @@ int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_opera
for (int i = 0; i < thread_num; i++){
av_freep(&thread_param[i]);
}
av_freep(&thread_param);
#else
thread_param[0] = av_malloc(sizeof(*thread_param[0]));
thread_param[0]->thread_common_param = &thread_common_param;
thread_param[0]->thread_start = pad_size;
thread_param[0]->thread_end = height - pad_size;
dnn_execute_layer_conv2d_thread((void *)thread_param[0]);
av_freep(&thread_param[0]);
thread_param.thread_common_param = &thread_common_param;
thread_param.thread_start = pad_size;
thread_param.thread_end = height - pad_size;
dnn_execute_layer_conv2d_thread(&thread_param);
#endif
av_freep(&thread_param);
return DNN_SUCCESS;
}