* update mem_required for image tagging models

configs/config_all.yaml

@@ -212,6 +212,7 @@ process:
       radius: 2                                               # radius of blur kernel
   - image_tagging_mapper:                                   # Mapper to generate image tags.
       tag_field_name: '__dj__image_tags__'                    # the field name to store the tags. It's "__dj__image_tags__" in default.
+      mem_required: '9GB'
   - nlpaug_en_mapper:                                       # simply augment texts in English based on the nlpaug library
       sequential: false                                       # whether combine all augmentation methods to a sequence. If it's True, a sample will be augmented by all opened augmentation methods sequentially. If it's False, each opened augmentation method would generate its augmented samples independently.
       aug_num: 1                                              # number of augmented samples to be generated. If `sequential` is True, there will be total aug_num augmented samples generated. If it's False, there will be (aug_num * #opened_aug_method) augmented samples generated.
@@ -382,6 +383,7 @@ process:
       frame_sampling_method: 'all_keyframes'                  # sampling method of extracting frame images from the videos. Should be one of ["all_keyframes", "uniform"]. The former one extracts all key frames and the latter one extract specified number of frames uniformly from the video. Default: "all_keyframes".
       frame_num: 3                                            # the number of frames to be extracted uniformly from the video. Only works when frame_sampling_method is "uniform". If it's 1, only the middle frame will be extracted. If it's 2, only the first and the last frames will be extracted. If it's larger than 2, in addition to the first and the last frames, other frames will be extracted uniformly within the video duration.
       tag_field_name: '__dj__video_frame_tags__'              # the field name to store the tags. It's "__dj__video_frame_tags__" in default.
+      mem_required: '9GB'
   - whitespace_normalization_mapper:                        # normalize different kinds of whitespaces to English whitespace.
 
   # Filter ops
@@ -614,6 +616,7 @@ process:
       frame_num: 3                                            # the number of frames to be extracted uniformly from the video. Only works when frame_sampling_method is "uniform". If it's 1, only the middle frame will be extracted. If it's 2, only the first and the last frames will be extracted. If it's larger than 2, in addition to the first and the last frames, other frames will be extracted uniformly within the video duration.
       tag_field_name: '__dj__video_frame_tags__'              # the field name to store the tags. It's "__dj__video_frame_tags__" in default.
       any_or_all: any                                         # keep this sample when any/all videos meet the filter condition
+      mem_required: '9GB'
   - words_num_filter:                                       # filter text with number of words out of specific range
       lang: en                                                # sample in which language
       tokenization: false                                     # whether to use model to tokenize documents

tests/benchmark_performance/configs/video.yaml

@@ -14,6 +14,7 @@ process:
       score_threshold: 1.0
       mem_required: '1GB'
   - video_tagging_from_frames_mapper:
+      mem_required: '9GB'
   - video_duration_filter:
   - video_split_by_key_frame_mapper:
       keep_original_sample: false