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Functions6,528 in github.com/ShenDezhou/CAIL

⨍ Functions 6,528◇ Types & classes 1,183↳ Endpoints 4
↓ 2 callersFunctionset_config
()
CAIL2020/ydljz(hong)tpu/config.py:20
↓ 2 callersFunctionset_seed
(args)
CAIL2020/ydljx/main.py:29
↓ 2 callersMethodset_seed
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_tf_transfo_xl_test.py:109
↓ 2 callersMethodset_seed
(self)
CAIL2020/ydlj/baseline/transformers/tests/modeling_transfo_xl_test.py:108
↓ 2 callersFunctionshrink_polygon_py
对框进行缩放，返回去的比例为1/shrink_ratio 即可
CAIL2020/cocr/torchocr/datasets/det_modules/make_shrink_map.py:5
↓ 2 callersFunctionsolve
(fact)
CAIL2018/svc/main.py:47
↓ 2 callersMethodsplit_regions
(self, axis)
CAIL2020/cocr/torchocr/datasets/det_modules/random_crop_data.py:79
↓ 2 callersFunctionsplit_s3_path
Split a full s3 path into the bucket name and path.
CAIL2020/ydlj/baseline/transformers/file_utils.py:204
↓ 2 callersMethodstream_iterator
(self, sent_stream)
CAIL2020/ydlj/baseline/transformers/tokenization_transfo_xl.py:353
↓ 2 callersFunctiontest
(parameters, config, gpu_list)
CAIL2020/sfksz/tools/test_tool.py:12
↓ 2 callersFunctiontest
(parameters, config, gpu_list)
CAIL2020/sfksu/test_tool.py:13
↓ 2 callersMethodto_json_string
Serializes this instance to a JSON string.
CAIL2020/ydlj/baseline/transformers/configuration_utils.py:208
↓ 2 callersMethodto_tuple_if_list
(self, obj)
CAIL2020/cocr/torchocr/datasets/det_modules/iaa_augment.py:30
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2021/slsb/data.py:76
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/znwd/data.py:73
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/htflx/data.py:72
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/zwfc/data.py:75
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/htfl/data.py:72
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/ayfl-4/data.py:72
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/jesbl/data.py:74
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/htfltpu/data.py:72
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/lbwjtpu/data.py:73
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/sfksx/data.py:71
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/ayfl/data.py:72
↓ 2 callersMethodtokenize
Cut words for a sentence. Args: sentence: sentence Returns: words list
CAIL2020/lbwjx/data.py:73
↓ 2 callersFunctiontrain
(parameters, config, gpu_list, do_test=False)
CAIL2020/sfksz/tools/train_tool.py:32
↓ 2 callersFunctiontrain
(parameters, config, gpu_list, do_test=False)
CAIL2020/sfkst/train_tool.py:36
↓ 2 callersMethodtrain
Train model on train set and evaluate on train and valid set. Returns: state dict of the best model with highest valid f1 score
CAIL2020/htfltpu/train.py:190
↓ 2 callersFunctiontrain_batch
(model, optimizer, scheduler,criterion,sp_loss_fct, batch, global_step)
CAIL2020/ydljtpu/train.py:174
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljz/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljzs/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljztpus/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljzt/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydlj/baseline/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljtpu/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljztpu/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljx/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljz(hong)tpu/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljy/run_cail.py:108
↓ 2 callersFunctiontrain_epoch
(data_loader, model, predict_during_train=False)
CAIL2020/ydljz(hong)/run_cail.py:108
↓ 2 callersFunctionvalid
(model, dataset, epoch, writer, config, gpu_list, output_function, mode="valid")
CAIL2020/sfksz/tools/eval_tool.py:48
↓ 2 callersFunctionvalid
(model, dataset, epoch, writer, config, gpu_list, output_function, mode="valid")
CAIL2020/sfkst/eval_tool.py:52
↓ 2 callersFunctionvalid
(model, dataset, epoch, writer, config, gpu_list, output_function, mode="valid")
CAIL2020/sfksu/eval_tool.py:52
↓ 2 callersMethodwhoami
Call HF API to know "whoami"
CAIL2020/ydlj/baseline/transformers/hf_api.py:80
↓ 2 callersMethodwidth_pad_img
将图像进行高度不变，宽度的调整的pad :param _img: 待pad的图像 :param _target_width: 目标宽度 :param _pad_value: pad的值 :return:
CAIL2020/cocr/torchocr/datasets/RecDataSet.py:276
↓ 2 callersFunctionwriteCache
(env, cache)
CAIL2020/cocr/tools/create_rec_lmdb_dataset.py:24
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2021/stxq/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2021/slsb/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/ydljztpus/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/zwfc/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/sfksz/model/qa/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/jesbl/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/ydljz(hong)tpu/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/sfzyzc/sfzyza/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/sfzyza/capsnetx.py:32
↓ 1 callersFunctionAdaptive_KDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/ydljz(hong)/capsnetx.py:32
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2021/stxq/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2021/slsb/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/ydljztpus/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/zwfc/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/sfksz/model/qa/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/jesbl/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/ydljz(hong)tpu/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/sfzyzc/sfzyza/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/sfzyza/capsnetx.py:62
↓ 1 callersFunctionKDE_routing
(batch_size, b_ij, u_hat)
CAIL2020/ydljz(hong)/capsnetx.py:62
↓ 1 callersFunctionResNet18
()
CAIL2020/htfltpu/install/pytorch_xla_resnet18_cifar10_training.py:161
↓ 1 callersFunctionSARIsent
(ssent, csent, rsents)
CAIL2020/sfzywg/rouge/script/SARI.py:109
↓ 1 callersFunctionSARIsent
(ssent, csent, rsents)
CAIL2020/sfzyzc/rouge/script/SARI.py:109
↓ 1 callersMethod__init__
( self, initial_learning_rate, decay_schedule_fn, warmup_steps, power=1.0,
CAIL2020/ydlj/baseline/transformers/optimization_tf.py:29
↓ 1 callersMethod__init__
(self, *args, **kwargs)
CAIL2020/ydlj/baseline/transformers/tokenization_transfo_xl.py:487
↓ 1 callersMethod__init__
(self, *args, **kwargs)
CAIL2020/ydlj/baseline/transformers/modeling_encoder_decoder.py:253
↓ 1 callersMethod__init__
Reference : https://github.com/tensorflow/tensorflow/blob/r1.10/tensorflow/python/ops/candidate_sampling_ops.py `P(class) = (log(
CAIL2020/ydlj/baseline/transformers/modeling_transfo_xl_utilities.py:261
↓ 1 callersMethod__init__
Constructs a MecabTokenizer. Args: **do_lower_case**: (`optional`) boolean (default True) Whether to lower case t
CAIL2020/ydlj/baseline/transformers/tokenization_bert_japanese.py:162
↓ 1 callersMethod__init__
(self, gamma=0, alpha=None, size_average=True)
CAIL2020/sfksz/model/loss.py:46
↓ 1 callersMethod__init__
(self, config, gpu_list, *args, **params)
CAIL2020/sfkst/model.py:10
↓ 1 callersMethod__init__
(self, config, gpu_list, *args, **params)
CAIL2020/sfksu/model.py:10
↓ 1 callersMethod__init__
(self, gamma=0, alpha=None, size_average=True)
CAIL2020/sfks/model/loss.py:46
↓ 1 callersMethod__init__
(self, config, gpu_list, *args, **params)
CAIL2020/sfks/model/qa/Bert.py:10
↓ 1 callersMethod__init__
(self, config, gpu_list, *args, **params)
CAIL2020/sfks/model/qa/HAF.py:47
↓ 1 callersMethod__init__
(self, block, num_blocks, num_classes=10)
CAIL2020/htfltpu/install/pytorch_xla_resnet18_cifar10_training.py:128
↓ 1 callersMethod__init__
:param in_channels: 基础网络输出的维度 :param kwargs:
CAIL2020/lbwj/FPN.py:23
↓ 1 callersMethod__init__
(self)
CAIL2020/cocr/torchocr/utils/CreateRecAug.py:412
↓ 1 callersMethod__init__
(self, in_channels, out_channels, ratio=4)
CAIL2020/cocr/torchocr/networks/CommonModules.py:55
↓ 1 callersMethod__init__
:param in_channels: 基础网络输出的维度 :param kwargs:
CAIL2020/cocr/torchocr/networks/necks/FPN.py:23
↓ 1 callersMethod__init__
(self, in_channels, **kwargs)
CAIL2020/cocr/torchocr/networks/backbones/RecMobileNetV3.py:51
↓ 1 callersMethod__init__
the MobilenetV3 backbone network for detection module. Args: params(dict): the super parameters for build network
CAIL2020/cocr/torchocr/networks/backbones/DetMobilenetV3.py:52
↓ 1 callersMethod__init__
(self, in_channels)
CAIL2020/cocr/torchocr/networks/heads/DetDbHead.py:10
↓ 1 callersMethod__init__
(self, in_channels, out_channels)
CAIL2020/cocr/torchocr/deprecated/FeaturePyramidNetwork.py:93
↓ 1 callersMethod__iter__
(self)
CAIL2020/cocr/torchocr/datasets/RecDataSet.py:150
↓ 1 callersMethod__str__
(self)
CAIL2020/lawbert/create_pretraining_data.py:79
↓ 1 callersMethod_attn
(self, inputs, training=False)
CAIL2020/ydlj/baseline/transformers/modeling_tf_openai.py:96
↓ 1 callersMethod_attn
(self, inputs, training=False)
CAIL2020/ydlj/baseline/transformers/modeling_tf_gpt2.py:90
↓ 1 callersMethod_attn
(self, q, k, v, attention_mask=None, head_mask=None)
CAIL2020/ydlj/baseline/transformers/modeling_gpt2.py:144
↓ 1 callersMethod_attn
(self, q, k, v, attention_mask=None, head_mask=None)
CAIL2020/ydlj/baseline/transformers/modeling_openai.py:168
↓ 1 callersMethod_build_C
Return coordinates of fiducial points in I_r; C
CAIL2020/cocr/torchocr/networks/stns/TPS.py:147
↓ 1 callersMethod_build_P
(self, I_r_width, I_r_height)
CAIL2020/cocr/torchocr/networks/stns/TPS.py:179
↓ 1 callersMethod_build_P_hat
(self, F, C, P)
CAIL2020/cocr/torchocr/networks/stns/TPS.py:188
↓ 1 callersMethod_build_from_file
(self, vocab_file)
CAIL2020/ydlj/baseline/transformers/tokenization_transfo_xl.py:133
↓ 1 callersFunction_build_func
(func_name)
CAIL2020/sfksz/config_parser/parser.py:22
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