Hello Fellow Researchers,
I am trying to run onmt with multiple features.
My config yml file is as follows:
model_dir: transformer_feature
data:
source_tokenization: space.yml
target_tokenization: space.yml
train_features_file:
- data/train.zh
- data/train.zh_f
train_labels_file: data/train.yue
eval_features_file:
- data/vaild.zh
- data/vaild.zh_f
eval_labels_file: data/vaild.yue
source_1_vocabulary: data/zh.vocab
source_2_vocabulary: data/zh_f.vocab
target_vocabulary: data/yue.vocab
train:
save_checkpoints_step: 1000
eval:
external_evaluators: BLEU
Can anyone help me where I am doing wrong and how can I use multiple features model.
onmt-main --model multi_features_nmt.py --config nmt_f.yml --auto_config train --num_gpus 1
The code of multi_source_nmt.py is as follows:
import tensorflow as tf
import opennmt as onmt
def model():
return onmt.models.Transformer(
source_inputter=onmt.inputters.ParallelInputter([
onmt.inputters.WordEmbedder(embedding_size=512),
onmt.inputters.WordEmbedder(embedding_size=8)],
reducer=onmt.layers.ConcatReducer()),
target_inputter=onmt.inputters.WordEmbedder(embedding_size=512),
num_layers=6,
num_units=512,
num_heads=8,
ffn_inner_dim=2048,
dropout=0.1,
attention_dropout=0.1,
ffn_dropout=0.1)
I got output with errors :
INFO:tensorflow:Creating model directory transformer_feature
INFO:tensorflow:Using parameters:
data:
eval_features_file:
- data/vaild.zh
- data/vaild.zh_f
eval_labels_file: data/vaild.yue
source_1_vocabulary: data/zh.vocab
source_2_vocabulary: data/zh_f.vocab
source_tokenization: space.yml
target_tokenization: space.yml
target_vocabulary: data/yue.vocab
train_features_file:
- data/train.zh
- data/train.zh_f
train_labels_file: data/train.yue
eval:
batch_size: 32
external_evaluators: BLEU
infer:
batch_size: 32
length_bucket_width: 5
model_dir: transformer_feature
params:
average_loss_in_time: true
beam_width: 4
decay_params:
model_dim: 512
warmup_steps: 8000
decay_type: NoamDecay
label_smoothing: 0.1
learning_rate: 2.0
num_hypotheses: 1
optimizer: LazyAdam
optimizer_params:
beta_1: 0.9
beta_2: 0.998
score:
batch_size: 64
train:
average_last_checkpoints: 8
batch_size: 3072
batch_type: tokens
effective_batch_size: 25000
keep_checkpoint_max: 8
length_bucket_width: 1
max_step: 500000
maximum_features_length: 100
maximum_labels_length: 100
sample_buffer_size: -1
save_checkpoints_step: 1000
save_summary_steps: 100
2020-03-23 10:02:47.624856: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-03-23 10:02:47.737676: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38
pciBusID: 0000:3d:00.0
2020-03-23 10:02:47.737998: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-03-23 10:02:47.740106: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-03-23 10:02:47.742240: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2020-03-23 10:02:47.742655: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2020-03-23 10:02:47.745393: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2020-03-23 10:02:47.747488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2020-03-23 10:02:47.753415: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-03-23 10:02:47.766813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2020-03-23 10:02:47.767323: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2020-03-23 10:02:47.778892: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2100000000 Hz
2020-03-23 10:02:47.782749: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4ebefd0 executing computations on platform Host. Devices:
2020-03-23 10:02:47.782764: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
2020-03-23 10:02:48.529690: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x594b8f0 executing computations on platform CUDA. Devices:
2020-03-23 10:02:48.529718: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Tesla V100-PCIE-16GB, Compute Capability 7.0
2020-03-23 10:02:48.542907: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38
pciBusID: 0000:3d:00.0
2020-03-23 10:02:48.543456: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-03-23 10:02:48.543472: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-03-23 10:02:48.543485: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2020-03-23 10:02:48.543497: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2020-03-23 10:02:48.543507: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2020-03-23 10:02:48.543517: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2020-03-23 10:02:48.543530: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-03-23 10:02:48.555279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2020-03-23 10:02:48.555336: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-03-23 10:02:48.564077: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-23 10:02:48.564100: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2020-03-23 10:02:48.564112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2020-03-23 10:02:48.572619: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14926 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0000:3d:00.0, compute capability: 7.0)
WARNING:tensorflow:No checkpoint to restore in transformer_feature
INFO:tensorflow:Training on 2364621 examples
INFO:tensorflow:Accumulate gradients of 9 iterations to reach effective batch size of 25000
2020-03-23 10:03:10.675534: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38
pciBusID: 0000:3d:00.0
2020-03-23 10:03:10.675708: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2020-03-23 10:03:10.675727: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2020-03-23 10:03:10.675745: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2020-03-23 10:03:10.675764: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2020-03-23 10:03:10.675779: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2020-03-23 10:03:10.675797: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2020-03-23 10:03:10.675816: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-03-23 10:03:10.689538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2020-03-23 10:03:10.689592: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-23 10:03:10.689620: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2020-03-23 10:03:10.689630: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2020-03-23 10:03:10.697331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/device:GPU:0 with 14926 MB memory) -> physical GPU (device: 0, name: Tesla V100-PCIE-16GB, pci bus id: 0000:3d:00.0, compute capability: 7.0)
2020-03-23 10:03:10.768500: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
INFO:tensorflow:Saved checkpoint transformer_feature/ckpt-0
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1781: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
2020-03-23 10:04:11.385303: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:143] Filling up shuffle buffer (this may take a while): 1236288 of 2364621
2020-03-23 10:04:20.818730: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:193] Shuffle buffer filled.
2020-03-23 10:04:21.192175: W tensorflow/core/common_runtime/base_collective_executor.cc:216] BaseCollectiveExecutor::StartAbort Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [76,40,512] vs. shape[1] = [76,71,8]
[[{{node cond_2/then/_44/transformer/parallel_inputter/concat}}]]
[[Func/cond_2/then/_44/gradients/global_norm/write_summary/summary_cond/then/_1731/input/_1742/_442]]
2020-03-23 10:04:21.192282: W tensorflow/core/common_runtime/base_collective_executor.cc:216] BaseCollectiveExecutor::StartAbort Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [76,40,512] vs. shape[1] = [76,71,8]
[[{{node cond_2/then/_44/transformer/parallel_inputter/concat}}]]
Traceback (most recent call last):
File "/usr/local/bin/onmt-main", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.6/dist-packages/opennmt/bin/main.py", line 189, in main
checkpoint_path=args.checkpoint_path)
File "/usr/local/lib/python3.6/dist-packages/opennmt/runner.py", line 207, in train
export_on_best=eval_config.get("export_on_best"))
File "/usr/local/lib/python3.6/dist-packages/opennmt/training.py", line 89, in __call__
self._accumulate_next_gradients(dataset, report_steps=report_steps)):
File "/usr/local/lib/python3.6/dist-packages/opennmt/data/dataset.py", line 433, in _fun
outputs = _tf_fun()
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/def_function.py", line 457, in __call__
result = self._call(*args, **kwds)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/def_function.py", line 520, in _call
return self._stateless_fn(*args, **kwds)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/function.py", line 1823, in __call__
return graph_function._filtered_call(args, kwargs) # pylint: disable=protected-access
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/function.py", line 1141, in _filtered_call
self.captured_inputs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/function.py", line 1224, in _call_flat
ctx, args, cancellation_manager=cancellation_manager)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/function.py", line 511, in call
ctx=ctx)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/eager/execute.py", line 67, in quick_execute
six.raise_from(core._status_to_exception(e.code, message), None)
File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [76,40,512] vs. shape[1] = [76,71,8]
[[{{node cond_2/then/_44/transformer/parallel_inputter/concat}}]]
[[Func/cond_2/then/_44/gradients/global_norm/write_summary/summary_cond/then/_1731/input/_1742/_442]]
(1) Invalid argument: ConcatOp : Dimensions of inputs should match: shape[0] = [76,40,512] vs. shape[1] = [76,71,8]
[[{{node cond_2/then/_44/transformer/parallel_inputter/concat}}]]
0 successful operations.
0 derived errors ignored. [Op:__inference__tf_fun_45023]
Function call stack:
_tf_fun -> _tf_fun
Currently the CUDA version of my server is 10.0, and OpenNMT-tf==2.4.0 which depends on Tensorflow==2.0 .
Thanks & Regards