From patchwork Tue Sep 15 08:30:09 2020 Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit X-Patchwork-Submitter: Xu Jun X-Patchwork-Id: 22415 Return-Path: X-Original-To: patchwork@ffaux-bg.ffmpeg.org Delivered-To: patchwork@ffaux-bg.ffmpeg.org Received: from ffbox0-bg.mplayerhq.hu (ffbox0-bg.ffmpeg.org [79.124.17.100]) by ffaux.localdomain (Postfix) with ESMTP id 22CD444B00E for ; Tue, 15 Sep 2020 11:30:40 +0300 (EEST) Received: from [127.0.1.1] (localhost [127.0.0.1]) by ffbox0-bg.mplayerhq.hu (Postfix) with ESMTP id ED6A268B9CE; Tue, 15 Sep 2020 11:30:39 +0300 (EEST) X-Original-To: ffmpeg-devel@ffmpeg.org Delivered-To: ffmpeg-devel@ffmpeg.org Received: from smtp181.sjtu.edu.cn (smtp181.sjtu.edu.cn [202.120.2.181]) by ffbox0-bg.mplayerhq.hu (Postfix) with ESMTPS id 1919E68B919 for ; Tue, 15 Sep 2020 11:30:32 +0300 (EEST) Received: from proxy02.sjtu.edu.cn (smtp188.sjtu.edu.cn [202.120.2.188]) by smtp181.sjtu.edu.cn (Postfix) with ESMTPS id 2927B1008CBC1 for ; Tue, 15 Sep 2020 16:30:27 +0800 (CST) Received: from localhost (localhost.localdomain [127.0.0.1]) by proxy02.sjtu.edu.cn (Postfix) with ESMTP id 03271200A6181; Tue, 15 Sep 2020 16:30:26 +0800 (CST) X-Virus-Scanned: amavisd-new at Received: from proxy02.sjtu.edu.cn ([127.0.0.1]) by localhost (proxy02.sjtu.edu.cn [127.0.0.1]) (amavisd-new, port 10026) with ESMTP id p-eXg13rcRAS; Tue, 15 Sep 2020 16:30:26 +0800 (CST) Received: from localhost.localdomain (unknown [202.120.39.204]) (Authenticated sender: xujunzz@sjtu.edu.cn) by proxy02.sjtu.edu.cn (Postfix) with ESMTPSA id CF469200B44A3; Tue, 15 Sep 2020 16:30:24 +0800 (CST) From: xujunzz@sjtu.edu.cn To: ffmpeg-devel@ffmpeg.org Date: Tue, 15 Sep 2020 16:30:09 +0800 Message-Id: <20200915083010.76707-1-xujunzz@sjtu.edu.cn> X-Mailer: git-send-email 2.28.0 MIME-Version: 1.0 Subject: [FFmpeg-devel] [PATCH v2 1/2] dnn_backend_native_layer_conv2d.c: fix memory allocation bug in multithread function. X-BeenThere: ffmpeg-devel@ffmpeg.org X-Mailman-Version: 2.1.20 Precedence: list List-Id: FFmpeg development discussions and patches List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Reply-To: FFmpeg development discussions and patches Cc: xujunzz@sjtu.edu.cn Errors-To: ffmpeg-devel-bounces@ffmpeg.org Sender: "ffmpeg-devel" From: Xu Jun Before patch, memory was allocated in each thread functions, which may cause more than one time of memory allocation and cause crash. After patch, memory is allocated in the main thread once, an index was parsed into thread functions. Bug fixed. Signed-off-by: Xu Jun --- .../dnn/dnn_backend_native_layer_conv2d.c | 55 +++++++++---------- 1 file changed, 27 insertions(+), 28 deletions(-) diff --git a/libavfilter/dnn/dnn_backend_native_layer_conv2d.c b/libavfilter/dnn/dnn_backend_native_layer_conv2d.c index c52725aa2b..5ed1851512 100644 --- a/libavfilter/dnn/dnn_backend_native_layer_conv2d.c +++ b/libavfilter/dnn/dnn_backend_native_layer_conv2d.c @@ -32,6 +32,7 @@ typedef struct thread_common_param{ int32_t output_operand_index; const void *parameters; NativeContext *ctx; + float *output_data; int thread_num; } thread_common_param; @@ -111,7 +112,6 @@ static void * dnn_execute_layer_conv2d_thread(void *threadarg) thread_param *thread_param = (struct thread_param *)threadarg; thread_common_param *thread_common_param = thread_param->thread_common_param; DnnOperand *operands = thread_common_param->operands; - float *output; int32_t input_operand_index = thread_common_param->input_operand_indexes[0]; int number = operands[input_operand_index].dims[0]; int height = operands[input_operand_index].dims[1]; @@ -130,24 +130,7 @@ static void * dnn_execute_layer_conv2d_thread(void *threadarg) int thread_start = thread_stride * thread_param->thread_index + pad_size; int thread_end = (thread_param->thread_index == thread_common_param->thread_num - 1) ? (height - pad_size) : (thread_start + thread_stride); - DnnOperand *output_operand = &operands[thread_common_param->output_operand_index]; - output_operand->dims[0] = number; - output_operand->dims[1] = height - pad_size * 2; - output_operand->dims[2] = width - pad_size * 2; - output_operand->dims[3] = conv_params->output_num; - output_operand->data_type = operands[input_operand_index].data_type; - output_operand->length = calculate_operand_data_length(output_operand); - if (output_operand->length <= 0) { - av_log(thread_common_param->ctx, AV_LOG_ERROR, "The output data length overflow\n"); - return (void *)DNN_ERROR; - } - output_operand->data = av_realloc(output_operand->data, output_operand->length); - if (!output_operand->data) { - av_log(thread_common_param->ctx, AV_LOG_ERROR, "Failed to reallocate memory for output\n"); - return (void *)DNN_ERROR; - } - - output = output_operand->data; + float *output = thread_common_param->output_data; output += (conv_params->output_num) * (width - 2 * pad_size) * (thread_start - pad_size); av_assert0(channel == conv_params->input_num); @@ -213,8 +196,6 @@ int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_ pthread_t *thread_id = av_malloc(thread_num * sizeof(pthread_t)); #endif thread_param **thread_param = av_malloc(thread_num * sizeof(*thread_param)); - void *res; - int error_flag = DNN_SUCCESS; //struct used to pass parameters thread_common_param thread_common_param; @@ -223,6 +204,28 @@ int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_ thread_common_param.output_operand_index = output_operand_index; thread_common_param.parameters = parameters; thread_common_param.ctx = ctx; + + //alloc memory + const ConvolutionalParams *conv_params = (const ConvolutionalParams *)(parameters); + int pad_size = (conv_params->padding_method == VALID) ? (conv_params->kernel_size - 1) / 2 * conv_params->dilation : 0; + DnnOperand *output_operand = &operands[output_operand_index]; + output_operand->dims[0] = operands[input_operand_indexes[0]].dims[0]; + output_operand->dims[1] = operands[input_operand_indexes[0]].dims[1] - pad_size * 2; + output_operand->dims[2] = operands[input_operand_indexes[0]].dims[2] - pad_size * 2; + output_operand->dims[3] = conv_params->output_num; + output_operand->data_type = operands[input_operand_indexes[0]].data_type; + output_operand->length = 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; + } + 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; + } + thread_common_param.output_data = output_operand->data; + #if HAVE_PTHREAD_CANCEL thread_common_param.thread_num = thread_num; @@ -236,9 +239,7 @@ int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_ //join threads, res gets function return for (int i = 0; i < thread_num; i++){ - pthread_join(thread_id[i], &res); - if ((int)res != DNN_SUCCESS) - error_flag = (int)res; + pthread_join(thread_id[i], NULL); } //release memory @@ -252,12 +253,10 @@ int dnn_execute_layer_conv2d(DnnOperand *operands, const int32_t *input_operand_ thread_param[0] = av_malloc(sizeof(thread_param)); thread_param[0]->thread_common_param = &thread_common_param; thread_param[0]->thread_index = 0; - res = dnn_execute_layer_conv2d_thread((void *)thread_param[0]); - if ((int)res != DNN_SUCCESS) - error_flag = (int)res; + dnn_execute_layer_conv2d_thread((void *)thread_param[0]); av_free(thread_param[0]); #endif av_free(thread_param); - return error_flag; + return DNN_SUCCESS; }