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Functions986 in github.com/Amazing-J/structural-transformer

⨍ Functions 986◇ Types & classes 128

↓ 1 callersMethodvalidate

Validate model. valid_iter: validate data iterator Returns: :obj:`nmt.Statistics`: validation loss statistics

opennmt-self/trainer.py:208

Method__getstate__

opennmt-feature/inputters/dataset.py:364

Method__getstate__

opennmt-cnn/inputters/dataset.py:579

Method__getstate__

opennmt-avg/inputters/dataset.py:579

Method__getstate__

opennmt-baseline/inputters/dataset.py:329

Method__getstate__

opennmt-self/inputters/dataset.py:579

init error handler

opennmt-feature/train.py:62

(self, base_path, model, model_opt, fields, optim, save_checkpoint_steps, keep_checkpoint=-1)

opennmt-feature/train_single.py:142

(self, model, train_loss, valid_loss, optim, trunc_size=0, shard_size=32, norm_m

opennmt-feature/trainer.py:82

(self, criterion, generator)

opennmt-feature/utils/loss.py:67

(self, label_smoothing, tgt_vocab_size, ignore_index=-100)

opennmt-feature/utils/loss.py:191

Args: report_every(int): Report status every this many sentences start_time(float): manually set report start time. N

opennmt-feature/utils/report_manager.py:38

A report manager that writes statistics on standard output as well as (optionally) TensorBoard Args: report_ever

opennmt-feature/utils/report_manager.py:105

(self, loss=0, n_words=0, n_correct=0)

opennmt-feature/utils/statistics.py:22

opennmt-feature/utils/optimizers.py:88

(self, method, learning_rate, max_grad_norm, lr_decay=1, start_decay_steps=None, decay_steps=

opennmt-feature/utils/optimizers.py:149

(self, model, fields, opt, out_file=None)

opennmt-feature/onmt/translator.py:26

(self, d_model, d_ff, dropout=0.1)

opennmt-feature/onmt/sublayer.py:194

(self, d_model, heads, d_ff, dropout)

opennmt-feature/onmt/transformer_encoder.py:21

(self, size, decode_length, bos_id, eos_id, minimal_length=0, alpha=0.6, stop_early=True, device=False)

opennmt-feature/onmt/beam.py:14

(self, encoder, decoder)

opennmt-feature/onmt/transformer.py:21

(self, dropout, dim, max_len=5000)

opennmt-feature/onmt/embeddings.py:9

(self, d_model, heads, d_ff, dropout)

opennmt-feature/onmt/transformer_decoder.py:16

(self, datasets, fields, batch_size, batch_size_fn, device, is_train)

opennmt-feature/inputters/dataset.py:148

(self, fields, src_examples_iter, tgt_examples_iter, structure_examples_iter, src_seq_length=0,

opennmt-feature/inputters/dataset.py:315

init error handler

opennmt-cnn/train.py:62

(self, base_path, model, model_opt, fields, optim, save_checkpoint_steps, keep_checkpoint=-1)

opennmt-cnn/train_single.py:142

(self, model, train_loss, valid_loss, optim, trunc_size=0, shard_size=32, norm_m

opennmt-cnn/trainer.py:82

(self, criterion, generator)

opennmt-cnn/utils/loss.py:67

(self, label_smoothing, tgt_vocab_size, ignore_index=-100)

opennmt-cnn/utils/loss.py:191

Args: report_every(int): Report status every this many sentences start_time(float): manually set report start time. N

opennmt-cnn/utils/report_manager.py:38

A report manager that writes statistics on standard output as well as (optionally) TensorBoard Args: report_ever

opennmt-cnn/utils/report_manager.py:105

(self, loss=0, n_words=0, n_correct=0)

opennmt-cnn/utils/statistics.py:22

opennmt-cnn/utils/optimizers.py:88

(self, method, learning_rate, max_grad_norm, lr_decay=1, start_decay_steps=None, decay_steps=

opennmt-cnn/utils/optimizers.py:149

(self, model, fields, opt, out_file=None)

opennmt-cnn/onmt/translator.py:26

(self, d_model, d_ff, dropout=0.1)

opennmt-cnn/onmt/sublayer.py:194

(self, d_a, dropout=0.1)

opennmt-cnn/onmt/sublayer.py:219

(self, d_model, heads, d_ff, dropout)

opennmt-cnn/onmt/transformer_encoder.py:22

(self, size, decode_length, bos_id, eos_id, minimal_length=0, alpha=0.6, stop_early=True, device=False)

opennmt-cnn/onmt/beam.py:14

(self, encoder, decoder)

opennmt-cnn/onmt/transformer.py:21

(self, dropout, dim, max_len=5000)

opennmt-cnn/onmt/embeddings.py:9

(self, d_model, heads, d_ff, dropout)

opennmt-cnn/onmt/transformer_decoder.py:16

(self, datasets, fields, batch_size, batch_size_fn, device, is_train)

opennmt-cnn/inputters/dataset.py:275

(self, fields, src_examples_iter, tgt_examples_iter, structure_ex

opennmt-cnn/inputters/dataset.py:490

init error handler

opennmt-avg/train.py:62

(self, base_path, model, model_opt, fields, optim, save_checkpoint_steps, keep_checkpoint=-1)

opennmt-avg/train_single.py:142

(self, model, train_loss, valid_loss, optim, trunc_size=0, shard_size=32, norm_m

opennmt-avg/trainer.py:82

(self, criterion, generator)

opennmt-avg/utils/loss.py:67

(self, label_smoothing, tgt_vocab_size, ignore_index=-100)

opennmt-avg/utils/loss.py:191

Args: report_every(int): Report status every this many sentences start_time(float): manually set report start time. N

opennmt-avg/utils/report_manager.py:38

A report manager that writes statistics on standard output as well as (optionally) TensorBoard Args: report_ever

opennmt-avg/utils/report_manager.py:105

(self, loss=0, n_words=0, n_correct=0)

opennmt-avg/utils/statistics.py:22

opennmt-avg/utils/optimizers.py:88

(self, method, learning_rate, max_grad_norm, lr_decay=1, start_decay_steps=None, decay_steps=

opennmt-avg/utils/optimizers.py:149

(self, model, fields, opt, out_file=None)

opennmt-avg/onmt/translator.py:26

(self, d_model, d_ff, dropout=0.1)

opennmt-avg/onmt/sublayer.py:194

(self, d_a, dropout=0.1)

opennmt-avg/onmt/sublayer.py:219

(self, d_model, heads, d_ff, dropout)

opennmt-avg/onmt/transformer_encoder.py:22

(self, size, decode_length, bos_id, eos_id, minimal_length=0, alpha=0.6, stop_early=True, device=False)

opennmt-avg/onmt/beam.py:14

(self, encoder, decoder)

opennmt-avg/onmt/transformer.py:21

(self, dropout, dim, max_len=5000)

opennmt-avg/onmt/embeddings.py:9

(self, d_model, heads, d_ff, dropout)

opennmt-avg/onmt/transformer_decoder.py:16

(self, datasets, fields, batch_size, batch_size_fn, device, is_train)

opennmt-avg/inputters/dataset.py:275

(self, fields, src_examples_iter, tgt_examples_iter, structure_ex

opennmt-avg/inputters/dataset.py:490

init error handler

opennmt-baseline/train.py:64

(self, base_path, model, model_opt, fields, optim, save_checkpoint_steps, keep_checkpoint=-1)

opennmt-baseline/train_single.py:143

(self, model, train_loss, valid_loss, optim, trunc_size=0, shard_size=32, norm_m

opennmt-baseline/trainer.py:82

(self, criterion, generator)

opennmt-baseline/utils/loss.py:67

(self, label_smoothing, tgt_vocab_size, ignore_index=-100)

opennmt-baseline/utils/loss.py:191

Args: report_every(int): Report status every this many sentences start_time(float): manually set report start time. N

opennmt-baseline/utils/report_manager.py:38

A report manager that writes statistics on standard output as well as (optionally) TensorBoard Args: report_ever

opennmt-baseline/utils/report_manager.py:105

(self, loss=0, n_words=0, n_correct=0)

opennmt-baseline/utils/statistics.py:22

opennmt-baseline/utils/optimizers.py:88

(self, method, learning_rate, max_grad_norm, lr_decay=1, start_decay_steps=None, decay_steps=

opennmt-baseline/utils/optimizers.py:149

(self, model, fields, opt, out_file=None)

opennmt-baseline/onmt/translator.py:26

(self, d_model, d_ff, dropout=0.1)

opennmt-baseline/onmt/sublayer.py:188

(self, d_model, heads, d_ff, dropout)

opennmt-baseline/onmt/transformer_encoder.py:10

(self, size, decode_length, bos_id, eos_id, minimal_length=0, alpha=0.6, stop_early=True, device=False)

opennmt-baseline/onmt/beam.py:14

(self, encoder, decoder)

opennmt-baseline/onmt/transformer.py:21

(self, dropout, dim, max_len=5000)

opennmt-baseline/onmt/embeddings.py:9

(self, d_model, heads, d_ff, dropout)

opennmt-baseline/onmt/transformer_decoder.py:16

(self, datasets, fields, batch_size, batch_size_fn, device, is_train)

opennmt-baseline/inputters/dataset.py:133

(self, fields, src_examples_iter, tgt_examples_iter, src_seq_length=0, tgt_seq_length=0,

opennmt-baseline/inputters/dataset.py:288

init error handler

opennmt-self/train.py:62

(self, base_path, model, model_opt, fields, optim, save_checkpoint_steps, keep_checkpoint=-1)

opennmt-self/train_single.py:142

(self, model, train_loss, valid_loss, optim, trunc_size=0, shard_size=32, norm_m

opennmt-self/trainer.py:82

(self, criterion, generator)

opennmt-self/utils/loss.py:67

(self, label_smoothing, tgt_vocab_size, ignore_index=-100)

opennmt-self/utils/loss.py:191

Args: report_every(int): Report status every this many sentences start_time(float): manually set report start time. N

opennmt-self/utils/report_manager.py:38

A report manager that writes statistics on standard output as well as (optionally) TensorBoard Args: report_ever

opennmt-self/utils/report_manager.py:105

(self, loss=0, n_words=0, n_correct=0)

opennmt-self/utils/statistics.py:22

opennmt-self/utils/optimizers.py:88

(self, method, learning_rate, max_grad_norm, lr_decay=1, start_decay_steps=None, decay_steps=

opennmt-self/utils/optimizers.py:149

(self, model, fields, opt, out_file=None)

opennmt-self/onmt/translator.py:26

(self, d_model, d_ff, dropout=0.1)

opennmt-self/onmt/sublayer.py:194

(self, d_a, dropout=0.1)

opennmt-self/onmt/sublayer.py:219

(self, d_model, heads, d_ff, dropout)

opennmt-self/onmt/transformer_encoder.py:22

(self, size, decode_length, bos_id, eos_id, minimal_length=0, alpha=0.6, stop_early=True, device=False)

opennmt-self/onmt/beam.py:14

(self, encoder, decoder)

opennmt-self/onmt/transformer.py:21

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