1. Fix LGTM alerts, remove useless module from python files.

FasterTransformer/v2/sample/tensorflow/decoder_sample.py

@@ -11,6 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+
 from __future__ import print_function
 import numpy as np
 import tensorflow as tf

FasterTransformer/v2/sample/tensorflow/encoder_decoder_sample.py

@@ -14,16 +14,12 @@
 
 import tensorflow as tf
 import numpy as np
-import os
-import math
-import six
 import argparse
 import numpy as np
-from utils.common import time_test, DecodingArgument, int_result_cross_check, TransformerArgument
-from utils.decoding import tf_decoding, generate_encoder_result, op_decoding
+from utils.common import DecodingArgument, TransformerArgument
+from utils.decoding import tf_decoding
 from utils.encoder import tf_encoder, op_encoder
 
-
 if __name__ == "__main__":
 
     parser = argparse.ArgumentParser()
@@ -49,8 +45,6 @@ if __name__ == "__main__":
                         help='vocabulary size. (default: 30000).')
     parser.add_argument('-d', '--data_type', type=str, default="fp32", metavar='STRING',
                         help='data type (default: fp32)')
-    parser.add_argument('-time', '--test_time', type=int, default=0, metavar='BOOL',
-                        help='test the time or not. (default: False (0)), True is 1.')
     parser.add_argument('-decoder', '--decoder_type', type=int, default=2, metavar='NUMBER',
                         help='Decoder type:'
                         + ' type 0: only run tf decoder;'

FasterTransformer/v2/sample/tensorflow/encoder_decoding_sample.py

@@ -14,12 +14,9 @@
 
 import tensorflow as tf
 import numpy as np
-import os
-import math
-import six
 import argparse
 from utils.common import time_test, DecodingArgument, int_result_cross_check, TransformerArgument
-from utils.decoding import tf_decoding, generate_encoder_result, op_decoding
+from utils.decoding import tf_decoding, op_decoding
 from utils.encoder import tf_encoder, op_encoder
 
 if __name__ == "__main__":

FasterTransformer/v2/sample/tensorflow/scripts/profile_decoder_op_performance.sh

@@ -1,3 +1,17 @@
+# Copyright (c) 2020, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 logdir="decoder-log"
 mkdir ${logdir}
 export CUDA_VISIBLE_DEVICES=1

FasterTransformer/v2/sample/tensorflow/scripts/profile_decoding_op_performance.sh

@@ -1,3 +1,17 @@
+# Copyright (c) 2020, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 logdir="decoding-log"
 mkdir ${logdir}
 export CUDA_VISIBLE_DEVICES=1

FasterTransformer/v2/sample/tensorflow/translate_sample.py

@@ -16,9 +16,8 @@ from __future__ import print_function
 import tensorflow as tf
 import numpy as np
 import argparse
-from utils.common import time_test, DecodingArgument
-from utils.decoding import tf_decoding, generate_encoder_result, op_decoding
-
+from utils.common import DecodingArgument
+from utils.decoding import tf_decoding, op_decoding
 from opennmt.utils import misc
 from opennmt.encoders.self_attention_encoder import SelfAttentionEncoder
 from opennmt.decoders.self_attention_decoder import SelfAttentionDecoder

FasterTransformer/v2/sample/tensorflow/utils/decoding.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2020, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import numpy as np
 import tensorflow as tf
 import os

FasterTransformer/v2/sample/tensorflow/utils/dump_model.py

@@ -15,7 +15,6 @@
 from __future__ import print_function
 import tensorflow as tf
 import numpy as np
-from datetime import datetime
 import sys
 import pickle 
 

FasterTransformer/v2/sample/tensorflow/utils/encoder.py

@@ -19,7 +19,6 @@ import six
 import os
 from common import create_initializer
   
-
 def gelu(x):
     cdf = 0.5 * (1.0 + tf.tanh(
         (np.sqrt(2 / np.pi) * (x + 0.044715 * tf.pow(x, 3)))))

FasterTransformer/v2/sample/tensorflow/utils/position.py

@@ -17,7 +17,6 @@ import abc
 import tensorflow as tf
 from reducer import SumReducer
 
-
 class PositionEncoder(tf.keras.layers.Layer):
     """Base class for position encoders."""
 

FasterTransformer/v2/sample/tensorflow/utils/reducer.py

@@ -15,7 +15,6 @@
 import abc
 import tensorflow as tf
 
-
 def pad_in_time(x, padding_length):
     """Helper function to pad a tensor in the time dimension and retain the static depth dimension."""
     return tf.pad(x, [[0, 0], [0, padding_length], [0, 0]])