# Copyright 2022 Cerebras Systems.
#
# 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
[docs]def set_defaults(params, mode=None):
for section in ["train_input", "eval_input"]:
for key in ["vocab_file"]:
if params.get(section, {}).get(key):
params[section][key] = os.path.abspath(params[section][key])
params["model"]["layer_norm_epsilon"] = params["model"].get(
"layer_norm_epsilon", 1.0e-5
)
data_processor = params["train_input"]["data_processor"]
params["model"]["is_mnli_dataset"] = "MNLI" in data_processor
params["model"]["fp16_type"] = params["model"].get("fp16_type", "float16")
params["optimizer"]["log_summaries"] = params["optimizer"].get(
"log_summaries", False
)