[TIPC]Support @to_static train for base-transformer

examples/machine_translation/transformer/tls/to_static.py

@@ -36,4 +36,5 @@ def apply_to_static(config, model):
     if support_to_static:
         specs = create_input_specs()
         model = to_static(model, input_spec=specs)
+        print("Successfully to apply @to_static with specs: {}".format(specs))
     return model

examples/machine_translation/transformer/train.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2022 PaddlePaddle Authors. 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 os
 import time
 
@@ -101,6 +115,9 @@ def parse_args():
         help=
         'The option of profiler, which should be in format \"key1=value1;key2=value2;key3=value3\".'
     )
+    parser.add_argument("--to_static",
+                        action="store_true",
+                        help="Whether to_static to train Transformer. ")
     args = parser.parse_args()
     return args
 
@@ -383,6 +400,7 @@ def do_train(args):
     args.unk_token = ARGS.unk_token
     args.bos_token = ARGS.bos_token
     args.eos_token = ARGS.eos_token
+    args.to_static = ARGS.to_static
     pprint(args)
 
     args.profiler_options = ARGS.profiler_options

tests/test_tipc/benchmark_train.sh

@@ -83,7 +83,21 @@ FILENAME=$new_filename
 # MODE must be one of ['benchmark_train']
 MODE=$2
 PARAMS=$3
-# bash test_tipc/benchmark_train.sh test_tipc/configs/det_mv3_db_v2_0/train_benchmark.txt  benchmark_train dynamic_bs8_null_DP_N1C1
+REST_ARGS=$4
+# bash test_tipc/benchmark_train.sh test_tipc/configs/transformer/base/train_infer_python.txt benchmark_train to_static
+
+to_static="d2sF"
+# parse "to_static" options and modify trainer into "to_static_trainer"
+if [ $REST_ARGS = "to_static" ] || [ $PARAMS = "to_static" ] ;then
+   to_static="d2sT"
+   sed -i 's/trainer:norm_train/trainer:to_static_train/g' $FILENAME
+   # clear PARAM contents
+   if [ $PARAMS = "to_static" ] ;then
+    PARAMS=""
+   fi
+fi
+
+
 IFS=$'\n'
 # parser params from train_benchmark.txt
 dataline=`cat $FILENAME`
@@ -206,7 +220,7 @@ for batch_size in ${batch_size_list[*]}; do
             if [ ${#gpu_id} -le 1 ];then
                 log_path="$SAVE_LOG/profiling_log"
                 mkdir -p $log_path
-                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_profiling"
+                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_${to_static}_profiling"
                 func_sed_params "$FILENAME" "${line_gpuid}" "0"  # sed used gpu_id 
                 # set profile_option params
                 tmp=`sed -i "${line_profile}s/.*/${profile_option}/" "${FILENAME}"`
@@ -222,8 +236,8 @@ for batch_size in ${batch_size_list[*]}; do
                 speed_log_path="$SAVE_LOG/index"
                 mkdir -p $log_path
                 mkdir -p $speed_log_path
-                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_log"
-                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_speed"
+                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_${to_static}_log"
+                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_${to_static}_speed"
                 func_sed_params "$FILENAME" "${line_profile}" "null"  # sed profile_id as null
                 cmd="bash test_tipc/test_train_inference_python.sh ${FILENAME} benchmark_train > ${log_path}/${log_name} 2>&1 "
                 echo $cmd
@@ -257,8 +271,8 @@ for batch_size in ${batch_size_list[*]}; do
                 speed_log_path="$SAVE_LOG/index"
                 mkdir -p $log_path
                 mkdir -p $speed_log_path
-                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_log"
-                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_speed"
+                log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_${to_static}_log"
+                speed_log_name="${repo_name}_${model_name}_bs${batch_size}_${precision}_${run_mode}_${device_num}_${to_static}_speed"
                 func_sed_params "$FILENAME" "${line_gpuid}" "$gpu_id"  # sed used gpu_id 
                 func_sed_params "$FILENAME" "${line_profile}" "null"  # sed --profile_option as null
                 cmd="bash test_tipc/test_train_inference_python.sh ${FILENAME} benchmark_train > ${log_path}/${log_name} 2>&1 "

tests/test_tipc/configs/transformer/base/train_infer_python.txt

@@ -17,7 +17,7 @@ norm_train:../examples/machine_translation/transformer/train.py --config ../exam
 pact_train:null
 fpgm_train:null
 distill_train:null
-null:null
+to_static_train:--to_static
 null:null
 ##
 ===========================eval_params=========================== 

tests/test_tipc/test_train_inference_python.sh

@@ -1,4 +1,19 @@
 #!/bin/bash
+
+# Copyright (c) 2022 PaddlePaddle Authors. 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.
+
 source test_tipc/common_func.sh
 
 FILENAME=$1
@@ -40,8 +55,8 @@ fpgm_key=$(func_parser_key "${lines[17]}")
 fpgm_trainer=$(func_parser_value "${lines[17]}")
 distill_key=$(func_parser_key "${lines[18]}")
 distill_trainer=$(func_parser_value "${lines[18]}")
-trainer_key1=$(func_parser_key "${lines[19]}")
-trainer_value1=$(func_parser_value "${lines[19]}")
+to_static_key=$(func_parser_key "${lines[19]}")
+to_static_trainer=$(func_parser_value "${lines[19]}")
 trainer_key2=$(func_parser_key "${lines[20]}")
 trainer_value2=$(func_parser_value "${lines[20]}")
 
@@ -295,9 +310,12 @@ else
                 elif [ ${trainer} = "${distill_key}" ]; then
                     run_train=${distill_trainer}
                     run_export=${distill_export}
-                elif [ ${trainer} = ${trainer_key1} ]; then
-                    run_train=${trainer_value1}
-                    run_export=${export_value1}
+                # In case of @to_static, we re-used norm_traier,
+                # but append "--to_static" for config
+                # to trigger "apply_to_static" logic in 'train.py'
+                elif [ ${trainer} = "${to_static_key}" ]; then
+                    run_train="${norm_trainer}  ${to_static_trainer}"
+                    run_export=${norm_export}
                 elif [[ ${trainer} = ${trainer_key2} ]]; then
                     run_train=${trainer_value2}
                     run_export=${export_value2}