Comments (9)
lvapeab
commented on May 24, 2024
It looks like Tensorflow doesn't detect any GPUs. Is tensorflow-gpu installed? Is the environment variable CUDA_VISIBLE_DEVICES properly set?
from nmt-keras.
VP007-py
commented on May 24, 2024
echo $CUDA_VISIBLE_DEVICES gives me 0,1,2 and after installing tensorflow-gpu I get
Using TensorFlow backend.
2020-08-11 20:15:00.601205: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcudart.so.10.1
[11/08/2020 20:15:07] Running training.
[11/08/2020 20:15:07] Building mydata55_hien dataset
[11/08/2020 20:15:08] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:08] Creating vocabulary for data with data_id 'target_text'.
[11/08/2020 20:15:08] Total: 34428 unique words in 80000 sentences with a total of 401199 words.
[11/08/2020 20:15:08] Creating dictionary of all words
[11/08/2020 20:15:08] Loaded "train" set outputs of data_type "text-features" with data_id "target_text" and length 80000.
[11/08/2020 20:15:08] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:08] Loaded "val" set outputs of data_type "text" with data_id "target_text" and length 1800.
[11/08/2020 20:15:08] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:08] Loaded "test" set outputs of data_type "text" with data_id "target_text" and length 1000.
[11/08/2020 20:15:09] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:09] Creating vocabulary for data with data_id 'source_text'.
[11/08/2020 20:15:09] Total: 42963 unique words in 80000 sentences with a total of 466800 words.
[11/08/2020 20:15:09] Creating dictionary of all words
[11/08/2020 20:15:10] Loaded "train" set inputs of data_type "text-features" with data_id "source_text" and length 80000.
[11/08/2020 20:15:10] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:10] Creating vocabulary for data with data_id 'state_below'.
[11/08/2020 20:15:10] Total: 34428 unique words in 80000 sentences with a total of 401199 words.
[11/08/2020 20:15:10] Creating dictionary of all words
[11/08/2020 20:15:11] Loaded "train" set inputs of data_type "text-features" with data_id "state_below" and length 80000.
[11/08/2020 20:15:11] Loaded "train" set inputs of type "file-name" with id "raw_source_text".
[11/08/2020 20:15:11] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:11] Loaded "val" set inputs of data_type "text-features" with data_id "source_text" and length 1800.
[11/08/2020 20:15:11] Loaded "val" set inputs of data_type "ghost" with data_id "state_below" and length 1800.
[11/08/2020 20:15:11] Loaded "val" set inputs of type "file-name" with id "raw_source_text".
[11/08/2020 20:15:11] Applying tokenization function: "tokenize_none".
[11/08/2020 20:15:11] Loaded "test" set inputs of data_type "text-features" with data_id "source_text" and length 1000.
[11/08/2020 20:15:11] Loaded "test" set inputs of data_type "ghost" with data_id "state_below" and length 1000.
[11/08/2020 20:15:11] Loaded "test" set inputs of type "file-name" with id "raw_source_text".
[11/08/2020 20:15:11] Keeping 1 captions per input on the val set.
[11/08/2020 20:15:11] Samples reduced to 1800 in val set.
[11/08/2020 20:15:11] <<< Saving Dataset instance to datasets/Dataset_mydata55_hien.pkl ... >>>
[11/08/2020 20:15:12] <<< Dataset instance saved >>>
[11/08/2020 20:15:12] <<< Building AttentionRNNEncoderDecoder Translation_Model >>>
Traceback (most recent call last):
File "main.py", line 51, in <module>
train_model(parameters, args.dataset)
File "/home/pandramish.vinay/nmt-keras/nmt_keras/training.py", line 93, in train_model
clear_dirs=clear_dirs)
File "/home/pandramish.vinay/nmt-keras/nmt_keras/model_zoo.py", line 155, in __init__
eval('self.' + model_type + '(params)')
File "<string>", line 1, in <module>
File "/home/pandramish.vinay/nmt-keras/nmt_keras/model_zoo.py", line 457, in AttentionRNNEncoderDecoder
src_text = Input(name=self.ids_inputs[0], batch_shape=tuple([None, None]), dtype='int32')
File "/home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/engine/input_layer.py", line 178, in Input
input_tensor=tensor)
File "/home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/engine/input_layer.py", line 87, in __init__
name=self.name)
File "/home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 650, in placeholder
x = tf.placeholder(dtype, shape=shape, name=name)
AttributeError: module 'tensorflow' has no attribute 'placeholder'
from nmt-keras.
lvapeab
commented on May 24, 2024
I think you installed tensorflow 2.X. You should install 1.x (e.g. pip install tensorflow-gpu==1.15)
from nmt-keras.
VP007-py
commented on May 24, 2024
This step resolves the errors, but I'm running out of memory as shown.
python3 main.py
Using TensorFlow backend.
[11/08/2020 20:50:13] Running training.
[11/08/2020 20:50:13] Building mydata55_hien dataset
[11/08/2020 20:50:13] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:14] Creating vocabulary for data with data_id 'target_text'.
[11/08/2020 20:50:14] Total: 34428 unique words in 80000 sentences with a total of 401199 words.
[11/08/2020 20:50:14] Creating dictionary of all words
[11/08/2020 20:50:14] Loaded "train" set outputs of data_type "text-features" with data_id "target_text" and length 80000.
[11/08/2020 20:50:14] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:14] Loaded "val" set outputs of data_type "text" with data_id "target_text" and length 1800.
[11/08/2020 20:50:14] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:14] Loaded "test" set outputs of data_type "text" with data_id "target_text" and length 1000.
[11/08/2020 20:50:15] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:15] Creating vocabulary for data with data_id 'source_text'.
[11/08/2020 20:50:15] Total: 42963 unique words in 80000 sentences with a total of 466800 words.
[11/08/2020 20:50:15] Creating dictionary of all words
[11/08/2020 20:50:15] Loaded "train" set inputs of data_type "text-features" with data_id "source_text" and length 80000.
[11/08/2020 20:50:16] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:16] Creating vocabulary for data with data_id 'state_below'.
[11/08/2020 20:50:16] Total: 34428 unique words in 80000 sentences with a total of 401199 words.
[11/08/2020 20:50:16] Creating dictionary of all words
[11/08/2020 20:50:17] Loaded "train" set inputs of data_type "text-features" with data_id "state_below" and length 80000.
[11/08/2020 20:50:17] Loaded "train" set inputs of type "file-name" with id "raw_source_text".
[11/08/2020 20:50:17] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:17] Loaded "val" set inputs of data_type "text-features" with data_id "source_text" and length 1800.
[11/08/2020 20:50:17] Loaded "val" set inputs of data_type "ghost" with data_id "state_below" and length 1800.
[11/08/2020 20:50:17] Loaded "val" set inputs of type "file-name" with id "raw_source_text".
[11/08/2020 20:50:17] Applying tokenization function: "tokenize_none".
[11/08/2020 20:50:17] Loaded "test" set inputs of data_type "text-features" with data_id "source_text" and length 1000.
[11/08/2020 20:50:17] Loaded "test" set inputs of data_type "ghost" with data_id "state_below" and length 1000.
[11/08/2020 20:50:17] Loaded "test" set inputs of type "file-name" with id "raw_source_text".
[11/08/2020 20:50:17] Keeping 1 captions per input on the val set.
[11/08/2020 20:50:17] Samples reduced to 1800 in val set.
[11/08/2020 20:50:17] <<< Saving Dataset instance to datasets/Dataset_mydata55_hien.pkl ... >>>
[11/08/2020 20:50:18] <<< Dataset instance saved >>>
[11/08/2020 20:50:18] <<< Building AttentionRNNEncoderDecoder Translation_Model >>>
[11/08/2020 20:50:18] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:650: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
[11/08/2020 20:50:18] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:4786: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
[11/08/2020 20:50:18] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:157: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
[11/08/2020 20:50:24] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:3561: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
[11/08/2020 20:50:26] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:292: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
[11/08/2020 20:50:26] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:299: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
[11/08/2020 20:50:26] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:308: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2020-08-11 20:50:26.283764: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-08-11 20:50:26.311783: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2399890000 Hz
2020-08-11 20:50:26.313223: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x9548a50 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-08-11 20:50:26.313241: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-08-11 20:50:26.314794: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-08-11 20:50:27.979868: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x9618b90 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-08-11 20:50:27.979910: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2020-08-11 20:50:27.979920: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
2020-08-11 20:50:27.979927: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (2): GeForce GTX 1080 Ti, Compute Capability 6.1
2020-08-11 20:50:27.982474: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:02:00.0
2020-08-11 20:50:27.983341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 1 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:03:00.0
2020-08-11 20:50:27.985994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 2 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:83:00.0
2020-08-11 20:50:27.991316: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-08-11 20:50:28.058570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-08-11 20:50:28.091144: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2020-08-11 20:50:28.102065: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2020-08-11 20:50:28.178217: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2020-08-11 20:50:28.227447: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2020-08-11 20:50:28.227515: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-08-11 20:50:28.233741: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0, 1, 2
2020-08-11 20:50:28.233800: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-08-11 20:50:28.238665: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-08-11 20:50:28.238686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 1 2
2020-08-11 20:50:28.238712: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N Y N
2020-08-11 20:50:28.238721: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 1: Y N N
2020-08-11 20:50:28.238732: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 2: N N N
2020-08-11 20:50:28.243290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10481 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0, compute capability: 6.1)
2020-08-11 20:50:28.244710: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10481 MB memory) -> physical GPU (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0, compute capability: 6.1)
2020-08-11 20:50:28.245980: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 10481 MB memory) -> physical GPU (device: 2, name: GeForce GTX 1080 Ti, pci bus id: 0000:83:00.0, compute capability: 6.1)
[11/08/2020 20:50:28] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:312: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
[11/08/2020 20:50:28] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:321: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.
[11/08/2020 20:50:28] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:328: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.
-----------------------------------------------------------------------------------
TranslationModel instance
-----------------------------------------------------------------------------------
_model_type: AttentionRNNEncoderDecoder
name: mydata55_hien_AttentionRNNEncoderDecoder_src_emb_500_bidir_True_enc_LSTM_756_dec_ConditionalLSTM_756_deepout_linear_trg_emb_500_Adam_0.001
model_path: /scratch/trained_models/mydata55_hien_AttentionRNNEncoderDecoder_src_emb_500_bidir_True_enc_LSTM_756_dec_ConditionalLSTM_756_deepout_linear_trg_emb_500_Adam_0.001/
verbose: 1
Params:
ACCUMULATE_GRADIENTS: 1
ADDITIONAL_OUTPUT_MERGE_MODE: Add
ALIGN_FROM_RAW: True
ALPHA_FACTOR: 0.6
AMSGRAD: False
APPLY_DETOKENIZATION: False
ATTENTION_DROPOUT_P: 0.0
ATTENTION_MODE: add
ATTENTION_SIZE: 756
BATCH_NORMALIZATION_MODE: 1
BATCH_SIZE: 412
BEAM_SEARCH: True
BEAM_SIZE: 3
BETA_1: 0.9
BETA_2: 0.999
BIDIRECTIONAL_DEEP_ENCODER: True
BIDIRECTIONAL_ENCODER: True
BIDIRECTIONAL_MERGE_MODE: concat
BPE_CODES_PATH: examples/mydata55//training_codes.joint
CLASSIFIER_ACTIVATION: softmax
CLIP_C: 5.0
CLIP_V: 0.0
COVERAGE_NORM_FACTOR: 0.2
COVERAGE_PENALTY: False
DATASET_NAME: mydata55
DATASET_STORE_PATH: datasets/
DATA_AUGMENTATION: False
DATA_ROOT_PATH: examples/mydata55/
DECODER_HIDDEN_SIZE: 756
DECODER_RNN_TYPE: ConditionalLSTM
DEEP_OUTPUT_LAYERS: [('linear', 500)]
DETOKENIZATION_METHOD: detokenize_none
DOUBLE_STOCHASTIC_ATTENTION_REG: 0.0
DROPOUT_P: 0.0
EARLY_STOP: True
EMBEDDINGS_FREQ: 1
ENCODER_HIDDEN_SIZE: 756
ENCODER_RNN_TYPE: LSTM
EPOCHS_FOR_SAVE: 1
EPSILON: 1e-08
EVAL_EACH: 1
EVAL_EACH_EPOCHS: True
EVAL_ON_SETS: ['val']
EXTRA_NAME:
FF_SIZE: 128
FILL: end
FORCE_RELOAD_VOCABULARY: False
GLOSSARY: None
GRU_RESET_AFTER: True
HEURISTIC: 0
HOMOGENEOUS_BATCHES: False
INIT_ATT: glorot_uniform
INIT_FUNCTION: glorot_uniform
INIT_LAYERS: ['tanh']
INNER_INIT: orthogonal
INPUTS_IDS_DATASET: ['source_text', 'state_below']
INPUTS_IDS_MODEL: ['source_text', 'state_below']
INPUTS_TYPES_DATASET: ['text-features', 'text-features']
INPUT_VOCABULARY_SIZE: 42966
JOINT_BATCHES: 4
KERAS_METRICS: ['perplexity']
LABEL_SMOOTHING: 0.0
LENGTH_NORM_FACTOR: 0.2
LENGTH_PENALTY: False
LOG_DIR: tensorboard_logs
LOSS: categorical_crossentropy
LR: 0.001
LR_DECAY: None
LR_GAMMA: 0.8
LR_HALF_LIFE: 100
LR_REDUCER_EXP_BASE: -0.5
LR_REDUCER_TYPE: exponential
LR_REDUCE_EACH_EPOCHS: False
LR_START_REDUCTION_ON_EPOCH: 0
MAPPING: examples/mydata55//mapping.hi_en.pkl
MAXLEN_GIVEN_X: True
MAXLEN_GIVEN_X_FACTOR: 2
MAX_EPOCH: 15
MAX_INPUT_TEXT_LEN: 150
MAX_OUTPUT_TEXT_LEN: 150
MAX_OUTPUT_TEXT_LEN_TEST: 450
MAX_PLOT_Y: 100.0
METRICS: ['perplexity']
MINLEN_GIVEN_X: True
MINLEN_GIVEN_X_FACTOR: 3
MIN_DELTA: 0.0
MIN_LR: 1e-09
MIN_OCCURRENCES_INPUT_VOCAB: 0
MIN_OCCURRENCES_OUTPUT_VOCAB: 0
MODE: training
MODEL_NAME: mydata55_hien_AttentionRNNEncoderDecoder_src_emb_500_bidir_True_enc_LSTM_756_dec_ConditionalLSTM_756_deepout_linear_trg_emb_500_Adam_0.001
MODEL_SIZE: 32
MODEL_TYPE: AttentionRNNEncoderDecoder
MOMENTUM: 0.0
MULTIHEAD_ATTENTION_ACTIVATION: linear
NESTEROV_MOMENTUM: False
NOISE_AMOUNT: 0.01
NORMALIZE_SAMPLING: False
N_GPUS: 3
N_HEADS: 8
N_LAYERS_DECODER: 2
N_LAYERS_ENCODER: 2
N_SAMPLES: 5
OPTIMIZED_SEARCH: True
OPTIMIZER: Adam
OUTPUTS_IDS_DATASET: ['target_text']
OUTPUTS_IDS_MODEL: ['target_text']
OUTPUTS_TYPES_DATASET: ['text-features']
OUTPUT_VOCABULARY_SIZE: 34431
PAD_ON_BATCH: True
PARALLEL_LOADERS: 1
PATIENCE: 5
PLOT_EVALUATION: False
POS_UNK: True
REBUILD_DATASET: True
RECURRENT_DROPOUT_P: 0.0
RECURRENT_INPUT_DROPOUT_P: 0.0
RECURRENT_WEIGHT_DECAY: 0.0
REGULARIZATION_FN: L2
RELOAD: 0
RELOAD_EPOCH: False
RHO: 0.9
SAMPLE_EACH_UPDATES: 300
SAMPLE_ON_SETS: ['train', 'val']
SAMPLE_WEIGHTS: True
SAMPLING: max_likelihood
SAMPLING_SAVE_MODE: list
SAVE_EACH_EVALUATION: True
SCALE_SOURCE_WORD_EMBEDDINGS: False
SCALE_TARGET_WORD_EMBEDDINGS: False
SEARCH_PRUNING: False
SKIP_VECTORS_HIDDEN_SIZE: 500
SKIP_VECTORS_SHARED_ACTIVATION: tanh
SOURCE_TEXT_EMBEDDING_SIZE: 500
SRC_LAN: hi
SRC_PRETRAINED_VECTORS: None
SRC_PRETRAINED_VECTORS_TRAINABLE: True
START_EVAL_ON_EPOCH: 1
START_SAMPLING_ON_EPOCH: 1
STOP_METRIC: Bleu_4
STORE_PATH: /scratch/trained_models/mydata55_hien_AttentionRNNEncoderDecoder_src_emb_500_bidir_True_enc_LSTM_756_dec_ConditionalLSTM_756_deepout_linear_trg_emb_500_Adam_0.001/
TARGET_TEXT_EMBEDDING_SIZE: 500
TASK_NAME: mydata55
TEMPERATURE: 1
TENSORBOARD: True
TEXT_FILES: {'train': 'train.', 'val': 'val.', 'test': 'TEST.'}
TIE_EMBEDDINGS: False
TOKENIZATION_METHOD: tokenize_none
TOKENIZE_HYPOTHESES: True
TOKENIZE_REFERENCES: True
TRAINABLE_DECODER: True
TRAINABLE_ENCODER: True
TRAIN_ON_TRAINVAL: False
TRG_LAN: en
TRG_PRETRAINED_VECTORS: None
TRG_PRETRAINED_VECTORS_TRAINABLE: True
USE_BATCH_NORMALIZATION: True
USE_CUDNN: False
USE_L1: False
USE_L2: False
USE_NOISE: False
USE_PRELU: False
USE_TF_OPTIMIZER: True
VERBOSE: 1
WARMUP_EXP: -1.5
WEIGHT_DECAY: 0.0001
WRITE_VALID_SAMPLES: True
-----------------------------------------------------------------------------------
Model: "mydata55_hien_AttentionRNNEncoderDecoder_src_emb_500_bidir_True_enc_LSTM_756_dec_ConditionalLSTM_756_deepout_linear_trg_emb_500_Adam_0.001_training"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
source_text (InputLayer) (None, None) 0
__________________________________________________________________________________________________
source_word_embedding (Embeddin (None, None, 500) 21483000 source_text[0][0]
__________________________________________________________________________________________________
src_embedding_batch_normalizati (None, None, 500) 2000 source_word_embedding[0][0]
__________________________________________________________________________________________________
remove_mask_1 (RemoveMask) (None, None, 500) 0 src_embedding_batch_normalization
__________________________________________________________________________________________________
bidirectional_encoder_LSTM (Bid (None, None, 1512) 7602336 remove_mask_1[0][0]
__________________________________________________________________________________________________
annotations_batch_normalization (None, None, 1512) 6048 bidirectional_encoder_LSTM[0][0]
__________________________________________________________________________________________________
bidirectional_encoder_1 (Bidire (None, None, 1512) 13722912 annotations_batch_normalization[0
__________________________________________________________________________________________________
annotations_1_batch_normalizati (None, None, 1512) 6048 bidirectional_encoder_1[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, None, 1512) 0 annotations_batch_normalization[0
annotations_1_batch_normalization
__________________________________________________________________________________________________
source_text_mask (GetMask) (None, None, 500) 0 src_embedding_batch_normalization
__________________________________________________________________________________________________
annotations (ApplyMask) (None, None, 1512) 0 add_1[0][0]
source_text_mask[0][0]
__________________________________________________________________________________________________
state_below (InputLayer) (None, None) 0
__________________________________________________________________________________________________
ctx_mean (MaskedMean) (None, 1512) 0 annotations[0][0]
__________________________________________________________________________________________________
target_word_embedding (Embeddin (None, None, 500) 17215500 state_below[0][0]
__________________________________________________________________________________________________
initial_state (Dense) (None, 756) 1143828 ctx_mean[0][0]
__________________________________________________________________________________________________
initial_memory (Dense) (None, 756) 1143828 ctx_mean[0][0]
__________________________________________________________________________________________________
state_below_batch_normalization (None, None, 500) 2000 target_word_embedding[0][0]
__________________________________________________________________________________________________
initial_state_batch_normalizati (None, 756) 3024 initial_state[0][0]
__________________________________________________________________________________________________
initial_memory_batch_normalizat (None, 756) 3024 initial_memory[0][0]
__________________________________________________________________________________________________
decoder_AttConditionalLSTMCond [(None, None, 756), 12378745 state_below_batch_normalization[0
annotations[0][0]
initial_state_batch_normalization
initial_memory_batch_normalizatio
__________________________________________________________________________________________________
proj_h0_batch_normalization (Ba (None, None, 756) 3024 decoder_AttConditionalLSTMCond[0]
__________________________________________________________________________________________________
permute_general_1 (PermuteGener multiple 0 decoder_AttConditionalLSTMCond[0]
logit_ctx[0][0]
__________________________________________________________________________________________________
decoder_LSTMCond1 (LSTMCond) [(None, None, 756), 9147600 proj_h0_batch_normalization[0][0]
permute_general_1[0][0]
initial_state_batch_normalization
initial_memory_batch_normalizatio
__________________________________________________________________________________________________
proj_h1_batch_normalization (Ba (None, None, 756) 3024 decoder_LSTMCond1[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, None, 756) 0 proj_h0_batch_normalization[0][0]
proj_h1_batch_normalization[0][0]
__________________________________________________________________________________________________
logit_ctx (TimeDistributed) (None, None, 500) 756500 decoder_AttConditionalLSTMCond[0]
__________________________________________________________________________________________________
logit_lstm (TimeDistributed) (None, None, 500) 378500 add_2[0][0]
__________________________________________________________________________________________________
logit_emb (TimeDistributed) (None, None, 500) 250500 state_below_batch_normalization[0
__________________________________________________________________________________________________
out_layer_mlp_batch_normalizati (None, None, 500) 2000 logit_lstm[0][0]
__________________________________________________________________________________________________
out_layer_ctx_batch_normalizati (None, None, 500) 2000 permute_general_1[1][0]
__________________________________________________________________________________________________
out_layer_emb_batch_normalizati (None, None, 500) 2000 logit_emb[0][0]
__________________________________________________________________________________________________
additional_input (Add) (None, None, 500) 0 out_layer_mlp_batch_normalization
out_layer_ctx_batch_normalization
out_layer_emb_batch_normalization
__________________________________________________________________________________________________
activation_1 (Activation) (None, None, 500) 0 additional_input[0][0]
__________________________________________________________________________________________________
linear_0 (TimeDistributed) (None, None, 500) 250500 activation_1[0][0]
__________________________________________________________________________________________________
out_layer_linear_0_batch_normal (None, None, 500) 2000 linear_0[0][0]
__________________________________________________________________________________________________
target_text (TimeDistributed) (None, None, 34431) 17249931 out_layer_linear_0_batch_normaliz
==================================================================================================
Total params: 102,759,872
Trainable params: 102,741,776
Non-trainable params: 18,096
__________________________________________________________________________________________________
[11/08/2020 20:50:40] From /home/pandramish.vinay/nmt-keras/nmt_keras/model_zoo.py:213: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.
[11/08/2020 20:50:40] Preparing optimizer and compiling. Optimizer configuration:
LR: 0.001
LOSS: categorical_crossentropy
BETA_1: 0.9
BETA_2: 0.999
EPSILON: 1e-08
[11/08/2020 20:50:40] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:1192: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.
[11/08/2020 20:50:40] <<< Training model >>>
[11/08/2020 20:50:40] Training parameters: {
batch_size: 412
class_weights: None
da_enhance_list: []
da_patch_type: resize_and_rndcrop
data_augmentation: False
each_n_epochs: 1
epoch_offset: 0
epochs_for_save: 1
eval_on_epochs: True
eval_on_sets: None
extra_callbacks: [<keras_wrapper.extra.callbacks.EvalPerformance object at 0x14d0400de320>, <keras_wrapper.extra.callbacks.Sample object at 0x14d0400e6860>]
homogeneous_batches: False
initial_lr: 0.001
joint_batches: 4
lr_decay: None
lr_gamma: 0.8
lr_half_life: 100
lr_reducer_exp_base: -0.5
lr_reducer_type: exponential
lr_warmup_exp: -1.5
maxlen: 150
mean_substraction: False
metric_check: Bleu_4
min_delta: 0.0
min_lr: 1e-09
n_epochs: 15
n_gpus: 3
n_parallel_loaders: 1
normalization_type: None
normalize: False
num_iterations_val: None
patience: 5
patience_check_split: val
reduce_each_epochs: False
reload_epoch: 0
shuffle: True
start_eval_on_epoch: 1
start_reduction_on_epoch: 0
tensorboard: True
tensorboard_params: {'write_grads': False, 'batch_size': 412, 'update_freq': 'epoch', 'embeddings_layer_names': None, 'histogram_freq': 0, 'write_images': False, 'word_embeddings_labels': None, 'write_graph': True, 'log_dir': 'tensorboard_logs', 'embeddings_freq': None, 'embeddings_metadata': None}
verbose: 1
wo_da_patch_type: whole
}
[11/08/2020 20:50:40] <<< creating directory /scratch/trained_models/mydata55_hien_AttentionRNNEncoderDecoder_src_emb_500_bidir_True_enc_LSTM_756_dec_ConditionalLSTM_756_deepout_linear_trg_emb_500_Adam_0.001/tensorboard_logs ... >>>
[11/08/2020 20:50:44] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/callbacks/tensorboard_v1.py:200: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.
[11/08/2020 20:50:44] From /home/pandramish.vinay/.local/lib/python3.5/site-packages/keras/callbacks/tensorboard_v1.py:203: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
Epoch 1/15
2020-08-11 20:51:21.244817: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-08-11 20:51:36.044298: W tensorflow/core/common_runtime/bfc_allocator.cc:419] Allocator (GPU_0_bfc) ran out of memory trying to allocate 27.4KiB (rounded to 28160). Current allocation summary follows.
2020-08-11 20:51:36.044578: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (256): Total Chunks: 243, Chunks in use: 239. 60.8KiB allocated for chunks. 59.8KiB in use in bin. 2.5KiB client-requested in use in bin.
2020-08-11 20:51:36.044605: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (512): Total Chunks: 13, Chunks in use: 11. 9.2KiB allocated for chunks. 8.2KiB in use in bin. 5.9KiB client-requested in use in bin.
2020-08-11 20:51:36.044629: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (1024): Total Chunks: 2, Chunks in use: 2. 2.2KiB allocated for chunks. 2.2KiB in use in bin. 1.5KiB client-requested in use in bin.
2020-08-11 20:51:36.044640: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (2048): Total Chunks: 252, Chunks in use: 251. 632.2KiB allocated for chunks. 630.2KiB in use in bin. 606.3KiB client-requested in use in bin.
2020-08-11 20:51:36.044665: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (4096): Total Chunks: 58, Chunks in use: 58. 310.2KiB allocated for chunks. 310.2KiB in use in bin. 275.8KiB client-requested in use in bin.
2020-08-11 20:51:36.044674: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (8192): Total Chunks: 70, Chunks in use: 70. 740.5KiB allocated for chunks. 740.5KiB in use in bin. 719.1KiB client-requested in use in bin.
2020-08-11 20:51:36.044682: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (16384): Total Chunks: 211, Chunks in use: 211. 3.44MiB allocated for chunks. 3.44MiB in use in bin. 3.30MiB client-requested in use in bin.
2020-08-11 20:51:36.044691: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (32768): Total Chunks: 1, Chunks in use: 1. 32.2KiB allocated for chunks. 32.2KiB in use in bin. 16.1KiB client-requested in use in bin.
2020-08-11 20:51:36.044700: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (65536): Total Chunks: 195, Chunks in use: 195. 19.33MiB allocated for chunks. 19.33MiB in use in bin. 19.29MiB client-requested in use in bin.
2020-08-11 20:51:36.044708: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (131072): Total Chunks: 62, Chunks in use: 62. 11.79MiB allocated for chunks. 11.79MiB in use in bin. 9.23MiB client-requested in use in bin.
2020-08-11 20:51:36.044717: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (262144): Total Chunks: 2601, Chunks in use: 2601. 1015.97MiB allocated for chunks. 1015.97MiB in use in bin. 1012.12MiB client-requested in use in bin.
2020-08-11 20:51:36.044726: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (524288): Total Chunks: 422, Chunks in use: 422. 332.47MiB allocated for chunks. 332.47MiB in use in bin. 256.36MiB client-requested in use in bin.
2020-08-11 20:51:36.044750: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (1048576): Total Chunks: 9, Chunks in use: 9. 13.00MiB allocated for chunks. 13.00MiB in use in bin. 11.03MiB client-requested in use in bin.
2020-08-11 20:51:36.044759: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (2097152): Total Chunks: 56, Chunks in use: 56. 127.48MiB allocated for chunks. 127.48MiB in use in bin. 126.31MiB client-requested in use in bin.
2020-08-11 20:51:36.044767: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (4194304): Total Chunks: 122, Chunks in use: 122. 648.19MiB allocated for chunks. 648.19MiB in use in bin. 639.69MiB client-requested in use in bin.
2020-08-11 20:51:36.044775: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (8388608): Total Chunks: 112, Chunks in use: 112. 1.21GiB allocated for chunks. 1.21GiB in use in bin. 1.18GiB client-requested in use in bin.
2020-08-11 20:51:36.044782: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (16777216): Total Chunks: 99, Chunks in use: 99. 2.11GiB allocated for chunks. 2.11GiB in use in bin. 2.02GiB client-requested in use in bin.
2020-08-11 20:51:36.044790: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (33554432): Total Chunks: 2, Chunks in use: 2. 69.81MiB allocated for chunks. 69.81MiB in use in bin. 47.76MiB client-requested in use in bin.
2020-08-11 20:51:36.044798: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (67108864): Total Chunks: 15, Chunks in use: 15. 1.09GiB allocated for chunks. 1.09GiB in use in bin. 1.04GiB client-requested in use in bin.
2020-08-11 20:51:36.044805: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (134217728): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2020-08-11 20:51:36.044813: I tensorflow/core/common_runtime/bfc_allocator.cc:869] Bin (268435456): Total Chunks: 6, Chunks in use: 6. 3.63GiB allocated for chunks. 3.63GiB in use in bin. 3.59GiB client-requested in use in bin.
2020-08-11 20:51:36.044821: I tensorflow/core/common_runtime/bfc_allocator.cc:885] Bin for 27.5KiB was 16.0KiB, Chunk State:
2020-08-11 20:51:36.044827: I tensorflow/core/common_runtime/bfc_allocator.cc:898] Next region of size 2399508736
2020-08-11 20:51:36.044843: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8b0000000 next 3716 of size 964619008
2020-08-11 20:51:36.044849: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8e97eeb00 next 4149 of size 414464
2020-08-11 20:51:36.044855: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8e9853e00 next 4150 of size 414464
2020-08-11 20:51:36.044861: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8e98b9100 next 4151 of size 828672
2020-08-11 20:51:36.044867: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8e9983600 next 4152 of size 24857344
2020-08-11 20:51:36.044873: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb138100 next 4153 of size 16640
2020-08-11 20:51:36.044879: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb13c200 next 4154 of size 414464
2020-08-11 20:51:36.044884: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb1a1500 next 4155 of size 417536
2020-08-11 20:51:36.044890: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb207400 next 4156 of size 417536
2020-08-11 20:51:36.044896: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb26d300 next 4157 of size 417536
2020-08-11 20:51:36.044902: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb2d3200 next 4158 of size 208896
2020-08-11 20:51:36.044908: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb306200 next 4159 of size 104448
2020-08-11 20:51:36.044914: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb31fa00 next 4160 of size 104448
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2020-08-11 20:51:36.044942: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb352a00 next 4162 of size 417536
2020-08-11 20:51:36.044947: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb3b8900 next 4163 of size 834816
2020-08-11 20:51:36.044953: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eb484600 next 4164 of size 25038848
2020-08-11 20:51:36.044959: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecc65600 next 4165 of size 16640
2020-08-11 20:51:36.044964: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecc69700 next 4166 of size 16640
2020-08-11 20:51:36.044970: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecc6d800 next 4167 of size 16640
2020-08-11 20:51:36.044975: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecc71900 next 4168 of size 834816
2020-08-11 20:51:36.044981: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecd3d600 next 4169 of size 417536
2020-08-11 20:51:36.044986: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecda3500 next 4170 of size 417536
2020-08-11 20:51:36.044992: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ece09400 next 4171 of size 417536
2020-08-11 20:51:36.044998: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ece6f300 next 4172 of size 417536
2020-08-11 20:51:36.045003: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eced5200 next 4173 of size 417536
2020-08-11 20:51:36.045009: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecf3b100 next 4174 of size 16640
2020-08-11 20:51:36.045014: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ecf3f200 next 4175 of size 12519424
2020-08-11 20:51:36.045020: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8edb2fa00 next 4176 of size 417536
2020-08-11 20:51:36.045026: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8edb95900 next 4177 of size 2286336
2020-08-11 20:51:36.045031: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eddc3c00 next 4178 of size 417536
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2020-08-11 20:51:36.045048: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eea80200 next 4182 of size 417536
2020-08-11 20:51:36.045054: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eeae6100 next 4183 of size 417536
2020-08-11 20:51:36.045059: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eeb4c000 next 4184 of size 16640
2020-08-11 20:51:36.045065: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eeb50100 next 4185 of size 417536
2020-08-11 20:51:36.045070: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eebb6000 next 4186 of size 417536
2020-08-11 20:51:36.045076: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eec1bf00 next 4187 of size 417536
2020-08-11 20:51:36.045082: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eec81e00 next 4188 of size 828672
2020-08-11 20:51:36.045087: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eed4c300 next 4189 of size 414464
2020-08-11 20:51:36.045093: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eedb1600 next 4190 of size 414464
2020-08-11 20:51:36.045098: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eee16900 next 4191 of size 414464
2020-08-11 20:51:36.045104: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eee7bc00 next 4192 of size 414464
2020-08-11 20:51:36.045109: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eeee0f00 next 4193 of size 414464
2020-08-11 20:51:36.045115: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eef46200 next 4194 of size 414464
2020-08-11 20:51:36.045121: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eefab500 next 4195 of size 274176
2020-08-11 20:51:36.045126: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8eefee400 next 4196 of size 414464
2020-08-11 20:51:36.045131: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ef053700 next 4197 of size 414464
2020-08-11 20:51:36.045153: I tensorflow/core/common_runtime/bfc_allocator.cc:905] InUse at 0x14c8ef0b8a00 next 4198 of size 414464
For other datasets,it's simply getting killed (Rest is same as above)
Epoch 1/15
Killed
``
from nmt-keras.
lvapeab
commented on May 24, 2024
I see that you are using a batch size of 412. This is probably too large. Try reducing it.
from nmt-keras.
VP007-py
commented on May 24, 2024
Works for as low as 64. Thank You !
from nmt-keras.
VP007-py
commented on May 24, 2024
The same error persists even now (batch size: 16/32/64 too)... Maybe update the keras_wrapper to limit gpu growth from here
from nmt-keras.
lvapeab
commented on May 24, 2024
keras_wrapper should not modify the behavior of GPU memory growth. In case you want to change the behavior of it, you can set an environment variable (export TF_FORCE_GPU_ALLOW_GROWTH=true).
Regarding you Killed error, it seems a problem with the main memory, rather than the GPU one.
from nmt-keras.
VP007-py
commented on May 24, 2024
Hey, I filtered out very long sentences from the dataset and it gave no issues (In a ideal scenario, the system should work for longer sentences).
Yeah will set the environment variables if I run into errors !
from nmt-keras.
Related Issues (20)
- Support for Factored Models ? HOT 1
- consume long time for predicting validation output HOT 3
- Confusion with opennmt-tf HOT 1
- Missing auto setup of required packages for running this library HOT 1
- How to use pretrained word2vec embeddings? HOT 1
- Getting error index out of range when training a Transformer model HOT 10
- Using CPU for inference with GPU-trained model HOT 20
- Evaluating perplexity HOT 4
- Getting error when using Tensorboard HOT 2
- Save perplexity on training and validation sets HOT 5
- Regd Rare Words/OOV Tokens ? HOT 9
- Sampling decoding HOT 1
- Strange behavior with plotting metrics for validation HOT 2
- Issue with ensemble scoring method HOT 3
- AssertionError: Reduction function "Noam" unimplemented! HOT 1
- Data Error ? HOT 6
- Training Error HOT 1
- Conversion to TFJS HOT 1
- Example Colab Fails HOT 1
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from nmt-keras.