Fix converte vgg caffe model bug.

generate_data.py

 import argparse
 import sys
-import os
-import os.path
 import numpy as np
 import re
-from scipy import spatial
 
 # Validation Flow:
 # 1. Generate input data

generate_model_code.sh

@@ -10,7 +10,7 @@ if [ ${DSP_MODE} ]; then
   DSP_MODE_FLAG="--dsp_mode=${DSP_MODE}"
 fi
 
-bazel-bin/lib/python/tools/converter --platform=${PLATFORM} \
+PYTHONUNBUFFERED=1 bazel-bin/lib/python/tools/converter --platform=${PLATFORM} \
                                      --model_file=${MODEL_FILE_PATH} \
                                      --weight_file=${WEIGHT_FILE_PATH} \
                                      --model_checksum=${MODEL_SHA256_CHECKSUM} \

mace_tools.py

@@ -17,6 +17,29 @@ import yaml
 
 from ConfigParser import ConfigParser
 
+def run_command_real_time(command):
+  print("Run command: {}".format(command))
+  process = subprocess.Popen(
+    command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+
+  while True:
+    std_err = process.stderr.readline()
+    if std_err == '' and process.poll() is not None:
+      break
+    if std_err:
+      print std_err.strip()
+  while True:
+    std_out = process.stdout.readline()
+    if std_out == '' and process.poll() is not None:
+      break
+    if std_out:
+      print std_out.strip()
+  ret_code = process.poll()
+
+  if ret_code != 0:
+    raise Exception("Exit not 0 from bash with code: {}, command: {}".format(
+      ret_code, command))
+
 def run_command(command):
   print("Run command: {}".format(command))
   result = subprocess.Popen(
@@ -71,7 +94,7 @@ def generate_random_input(model_output_dir):
 
 def generate_model_code():
   command = "bash tools/generate_model_code.sh"
-  run_command(command)
+  run_command_real_time(command)
 
 
 def build_mace_run(production_mode, model_output_dir, hexagon_mode):

validate_tools.sh

@@ -24,7 +24,7 @@ if [ "$GENERATE_DATA_OR_NOT" = 1 ]; then
     FORMATTED_NAME=$(sed s/[^[:alnum:]]/_/g <<< ${NAME})
     rm -rf ${MODEL_OUTPUT_DIR}/${INPUT_FILE_NAME}_${FORMATTED_NAME}
   done
-  python tools/generate_data.py --input_node=${INPUT_NODES} \
+  python -u tools/generate_data.py --input_node=${INPUT_NODES} \
     --input_file=${MODEL_OUTPUT_DIR}/${INPUT_FILE_NAME} \
     --input_shape="${INPUT_SHAPES}" || exit 1
   exit 0
@@ -38,7 +38,7 @@ if [ "$PLATFORM" == "tensorflow" ];then
       adb pull ${PHONE_DATA_DIR}/${OUTPUT_FILE_NAME}_${FORMATTED_NAME} ${MODEL_OUTPUT_DIR} > /dev/null
     done
   fi
-  python tools/validate.py --platform=tensorflow \
+  python -u tools/validate.py --platform=tensorflow \
       --model_file ${MODEL_FILE_PATH} \
       --input_file ${MODEL_OUTPUT_DIR}/${INPUT_FILE_NAME} \
       --mace_out_file ${MODEL_OUTPUT_DIR}/${OUTPUT_FILE_NAME} \
@@ -90,7 +90,8 @@ elif [ "$PLATFORM" == "caffe" ];then
   docker cp tools/validate.py ${CONTAINER_NAME}:/mace
   docker cp ${MODEL_FILE_PATH} ${CONTAINER_NAME}:/mace
   docker cp ${WEIGHT_FILE_PATH} ${CONTAINER_NAME}:/mace
-  docker exec -it ${CONTAINER_NAME} python /mace/validate.py  --platform=caffe \
+  docker exec -it ${CONTAINER_NAME} python -u /mace/validate.py \
+    --platform=caffe \
     --model_file /mace/${MODEL_FILE_NAME} \
     --weight_file /mace/${WEIGHT_FILE_NAME} \
     --input_file /mace/${INPUT_FILE_NAME} \