def create_config(model_dir, hparams=None):
"""Creates config instance."""
tf.logging.info("model_dir = " + model_dir)
assert model_dir
if hparams:
tf.logging.info("Given override cfg:\n%s" % pprint.pformat(hparams))
else:
hparams = dict()
# Build the default config
cfg = model.build_config(model_dir=model_dir, data_path=FLAGS.data_path)
if FLAGS.config_file:
with tf.gfile.GFile(FLAGS.config_file) as f:
file_cfg = json.load(f)
file_cfg = utils.to_config(file_cfg)
tf.logging.info("Loaded config from file:\n%s" % file_cfg)
cfg = utils.merge_fixed_structure(cfg, file_cfg)
# Override from flags
overrides = dict()
if FLAGS.config:
overrides = utils.parse_config_string(FLAGS.config)
tf.logging.info("Parsed config overrides:\n%s" % overrides)
cfg = utils.merge_fixed_structure(cfg, overrides)
if FLAGS.master:
cfg.master = FLAGS.master
cfg = utils.merge_fixed_structure(cfg, utils.unflatten_dict(hparams))
tf.logging.info("Operative config:\n%s" % cfg)
return cfg
def config_page():
if not request.method == "POST":
return redirect(url_for("main"))
else:
config = utils.to_config(directory=session["TEMP_FOLDER"],
config=request.form.to_dict())
for file in os.listdir(session["TEMP_FOLDER"]):
if file.endswith(".xlsx") or file.endswith(".csv"):
file = os.path.join(session["TEMP_FOLDER"], file)
break
return redirect(
url_for("analysis_page", survey_file=file, config=config))
def _load_config(model_dir):
tf.logging.info("model_dir = " + model_dir)
with tf.gfile.GFile(os.path.join(model_dir, "config.json")) as f:
cfg = json.load(f)
cfg = utils.to_config(cfg)
return cfg
