NCTC / models /research /cognitive_planning /train_supervised_active_vision.sh
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#!/bin/bash
# Copyright 2018 The TensorFlow 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.
# ==============================================================================
# blaze build -c opt train_supervised_active_vision
# bazel build -c opt --config=cuda --copt=-mavx train_supervised_active_vision && \
bazel-bin/research/cognitive_planning/train_supervised_active_vision \
--mode='train' \
--logdir=/usr/local/google/home/kosecka/local_avd_train/ \
--modality_types='det' \
--batch_size=8 \
--train_iters=200000 \
--lstm_cell_size=2048 \
--policy_fc_size=2048 \
--sequence_length=20 \
--max_eval_episode_length=100 \
--test_iters=194 \
--gin_config=envs/configs/active_vision_config.gin \
--gin_params='ActiveVisionDatasetEnv.dataset_root="/cns/jn-d/home/kosecka/AVD_Minimal/"' \
--logtostderr