add_argument( '-log_dir', type = str, default = '', help = 'Base log dir') Help = 'Number of few shot tasks per batch, so the task encoding batch is num_tasks_per_batch x num_classes_test x num_shots_train. add_argument( '-num_tasks_per_batch', type = int, default = 2, add_argument( '-train_batch_size', type = int, default = 32, help = 'Training batch size.') Help = 'Number of shots in a few shot meta-train scenario') add_argument( '-num_shots_train', type = int, default = 5, Help = 'Number of classes in the train phase, this is coming from the prototypical networks') add_argument( '-num_classes_train', type = int, default = 5, Help = "Number of training steps after half way to early stop the training") add_argument( '-number_of_steps_to_early_stop', type = int, default = int( 1000000), add_argument( '-number_of_steps', type = int, default = int( 30000), help = "Number of training steps") add_argument( '-repeat', type = int, default = 0) Help = 'Split of the data to be used to perform operation.') add_argument( '-data_split', type = str, default = 'sources', choices =, add_argument( '-data_dir', type = str, default = DATA_DIR, help = 'Path to the data.') add_argument( '-mode', type = str, default = 'train', choices =) Raise Exception( 'Unknown dataset: %s' % data_dir) # docker push /tensorflow/tensorflow:1.4.1-devel-gpu-p圓 # docker tag gcr.io/tensorflow/tensorflow:1.4.1-devel-gpu-p圓 /tensorflow/tensorflow:1.4.1-devel-gpu-p圓 # docker pull gcr.io/tensorflow/tensorflow:1.4.1-devel-gpu-p圓 gen_experiments import load_and_save_params
data import _load_mini_imagenetįrom common. """Training and evaluation entry point."""įrom tensorflow.
#Tadam definition license#
# See the License for the specific language governing permissions and # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # distributed under the License is distributed on an "AS IS" BASIS,
#Tadam definition software#
# Unless required by applicable law or agreed to in writing, software # You may obtain a copy of the License at # you may not use this file except in compliance with the License. # Licensed under the Apache License, Version 2.0 (the "License") Get_image_size Function Namespace Class _init_ Function get_arguments Function get_logdir_name Function ScaledVarianceRandomNormal Class _init_ Function _call_ Function _get_scope Function _get_scope_film Function build_simple_conv_net Function leaky_relu Function get_film_layer Function build_simple_res_net Function build_feature_extractor_graph Function build_task_encoder Function get_polynomial Function build_polynomial_head Function build_cosine_head Function build_prototypical_head Function placeholder_inputs Function get_batch Function preprocess Function get_film_premultiplier Function get_film_gamma_beta_net Function get_film_params Function build_inference_graph Function build_feat_extract_pretrain_graph Function get_train_datasets Function get_pwc_learning_rate Function train Function train_classifier Function PretrainModelLoader Class _init_ Function eval Function ModelLoader Class _init_ Function eval Function eval Function eval_pretrain Function image_augment Function main Function
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