del fp16 in rec model

test_tipc/configs/ch_ppocr_server_v2.0_rec/train_infer_python.txt

@@ -37,13 +37,13 @@ export2:null
 infer_model:null
 infer_export:tools/export_model.py -c test_tipc/configs/ch_ppocr_server_v2.0_rec/rec_icdar15_train.yml -o
 infer_quant:False
-inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dict.txt --rec_image_shape="3,32,100"
+inference:tools/infer/predict_rec.py
 --use_gpu:True|False
 --enable_mkldnn:True|False
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_mv3_none_bilstm_ctc_v2.0/train_infer_python.txt

@@ -43,7 +43,7 @@ inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dic
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_mv3_none_none_ctc_v2.0/train_infer_python.txt

@@ -43,7 +43,7 @@ inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dic
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_mv3_tps_bilstm_ctc_v2.0/train_infer_python.txt

@@ -43,7 +43,7 @@ inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dic
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_r34_vd_none_bilstm_ctc_v2.0/train_infer_python.txt

@@ -43,7 +43,7 @@ inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dic
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_r34_vd_none_none_ctc_v2.0/train_infer_python.txt

@@ -43,7 +43,7 @@ inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dic
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_r34_vd_tps_bilstm_ctc_v2.0/train_infer_python.txt

@@ -43,7 +43,7 @@ inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dic
 --cpu_threads:1|6
 --rec_batch_num:1|6
 --use_tensorrt:True|False
---precision:fp32|fp16|int8
+--precision:fp32|int8
 --rec_model_dir:
 --image_dir:./inference/rec_inference
 --save_log_path:./test/output/

test_tipc/configs/rec_resnet_stn_bilstm_att_v2.0/rec_icdar15_train.yml

@@ -1,110 +0,0 @@
-Global:
-  use_gpu: True
-  epoch_num: 400
-  log_smooth_window: 20
-  print_batch_step: 10
-  save_model_dir: ./output/rec/seed
-  save_epoch_step: 3
-  # evaluation is run every 5000 iterations after the 4000th iteration
-  eval_batch_step: [0, 2000]
-  cal_metric_during_train: True
-  pretrained_model:
-  checkpoints:
-  save_inference_dir:
-  use_visualdl: False
-  infer_img: doc/imgs_words_en/word_10.png
-  # for data or label process
-  character_dict_path: ppocr/utils/EN_symbol_dict.txt
-  max_text_length: 100
-  infer_mode: False
-  use_space_char: False
-  save_res_path: ./output/rec/predicts_seed.txt
-
-
-Optimizer:
-  name: Adadelta
-  weight_deacy: 0.0
-  momentum: 0.9
-  lr:
-    name: Piecewise
-    decay_epochs: [4,5,8]
-    values: [1.0, 0.1, 0.01]
-  regularizer:
-    name: 'L2'
-    factor: 2.0e-05
-
-
-Architecture:
-  model_type: rec
-  algorithm: SEED
-  Transform:
-    name: STN_ON
-    tps_inputsize: [32, 64]
-    tps_outputsize: [32, 100]
-    num_control_points: 20
-    tps_margins: [0.05,0.05]
-    stn_activation: none
-  Backbone:
-    name: ResNet_ASTER
-  Head:
-    name: AsterHead  # AttentionHead
-    sDim: 512
-    attDim: 512
-    max_len_labels: 100
-
-Loss:
-  name: AsterLoss
-
-PostProcess:
-  name: SEEDLabelDecode
-
-Metric:
-  name: RecMetric
-  main_indicator: acc
-  is_filter: True
-
-Train:
-  dataset:
-    name: SimpleDataSet
-    data_dir: ./train_data/ic15_data/
-    label_file_list: ["./train_data/ic15_data/rec_gt_train.txt"]
-    transforms:
-      - Fasttext:
-          path: "./cc.en.300.bin"
-      - DecodeImage: # load image
-          img_mode: BGR
-          channel_first: False
-      - SEEDLabelEncode: # Class handling label
-      - RecResizeImg:
-          character_type: en
-          image_shape: [3, 64, 256]
-          padding: False
-      - KeepKeys:
-          keep_keys: ['image', 'label', 'length', 'fast_label'] # dataloader will return list in this order
-  loader:
-    shuffle: True
-    batch_size_per_card: 256
-    drop_last: True
-    num_workers: 6
-
-Eval:
-  dataset:
-    name: SimpleDataSet
-    data_dir: ./train_data/ic15_data
-    label_file_list: ["./train_data/ic15_data/rec_gt_test.txt"]
-    transforms:
-      - DecodeImage: # load image
-          img_mode: BGR
-          channel_first: False
-      - SEEDLabelEncode: # Class handling label
-      - RecResizeImg:
-          character_type: en
-          image_shape: [3, 64, 256]
-          padding: False
-      - KeepKeys:
-          keep_keys: ['image', 'label', 'length'] # dataloader will return list in this order
-  loader:
-    shuffle: False
-    drop_last: True
-    batch_size_per_card: 256
-    num_workers: 4

test_tipc/configs/rec_resnet_stn_bilstm_att_v2.0/train_infer_python.txt

@@ -1,51 +0,0 @@
-===========================train_params===========================
-model_name:rec_resnet_stn_bilstm_att_v2.0
-python:python3.7
-gpu_list:0|0,1
-Global.use_gpu:True|True
-Global.auto_cast:null
-Global.epoch_num:lite_train_lite_infer=5|whole_train_whole_infer=100
-Global.save_model_dir:./output/
-Train.loader.batch_size_per_card:lite_train_lite_infer=128|whole_train_whole_infer=128
-Global.pretrained_model:null
-train_model_name:latest
-train_infer_img_dir:./inference/rec_inference
-null:null
-##
-trainer:norm_train
-norm_train:tools/train.py -c test_tipc/configs/rec_resnet_stn_bilstm_att_v2.0/rec_icdar15_train.yml -o
-pact_train:null
-fpgm_train:null
-distill_train:null
-null:null
-null:null
-##
-===========================eval_params===========================
-eval:tools/eval.py -c test_tipc/configs/rec_resnet_stn_bilstm_att_v2.0/rec_icdar15_train.yml -o
-null:null
-##
-===========================infer_params===========================
-Global.save_inference_dir:./output/
-Global.pretrained_model:
-norm_export:tools/export_model.py -c test_tipc/configs/rec_resnet_stn_bilstm_att_v2.0/rec_icdar15_train.yml -o
-quant_export:null
-fpgm_export:null
-distill_export:null
-export1:null
-export2:null
-##
-infer_model:null
-infer_export:tools/export_model.py -c test_tipc/configs/rec_resnet_stn_bilstm_att_v2.0/rec_icdar15_train.yml -o
-infer_quant:False
-inference:tools/infer/predict_rec.py --rec_char_dict_path=./ppocr/utils/ic15_dict.txt --rec_image_shape="3,32,100"
---use_gpu:True|False
---enable_mkldnn:True|False
---cpu_threads:1|6
---rec_batch_num:1|6
---use_tensorrt:True|False
---precision:fp32|fp16|int8
---rec_model_dir:
---image_dir:./inference/rec_inference
---save_log_path:./test/output/
---benchmark:True
-null:null