dnn/dnn_backend_native_layer_conv2d: Avoid allocation when single-threaded
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>
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				@ -187,12 +187,14 @@ static void * dnn_execute_layer_conv2d_thread(void *threadarg)
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int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_indexes,
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                                int32_t output_operand_index, const void *parameters, NativeContext *ctx)
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{
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#if HAVE_PTHREAD_CANCEL
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    int thread_num = (ctx->options.conv2d_threads <= 0 || ctx->options.conv2d_threads > av_cpu_count())
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        ? (av_cpu_count() + 1) : (ctx->options.conv2d_threads);
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#if HAVE_PTHREAD_CANCEL
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    int thread_stride;
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#endif
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    ThreadParam **thread_param = av_malloc_array(thread_num, sizeof(*thread_param));
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#else
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    ThreadParam thread_param = { 0 };
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#endif
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    ThreadCommonParam thread_common_param;
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    const ConvolutionalParams *conv_params = parameters;
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    int height = operands[input_operand_indexes[0]].dims[1];
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@ -244,15 +246,13 @@ int ff_dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_opera
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    for (int i = 0; i < thread_num; i++){
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        av_freep(&thread_param[i]);
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    }
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    av_freep(&thread_param);
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#else
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    thread_param[0] = av_malloc(sizeof(*thread_param[0]));
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    thread_param[0]->thread_common_param = &thread_common_param;
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    thread_param[0]->thread_start = pad_size;
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    thread_param[0]->thread_end = height - pad_size;
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    dnn_execute_layer_conv2d_thread((void *)thread_param[0]);
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    av_freep(&thread_param[0]);
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    thread_param.thread_common_param = &thread_common_param;
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    thread_param.thread_start = pad_size;
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    thread_param.thread_end = height - pad_size;
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    dnn_execute_layer_conv2d_thread(&thread_param);
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#endif
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    av_freep(&thread_param);
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    return DNN_SUCCESS;
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}
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