high_dimensional_test.py

# Copyright (c) 2020 VisualDL Authors. All Rights Reserve.
#
# 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.
# =======================================================================

# coding=utf-8

from visualdl import LogWriter


if __name__ == '__main__':
    mat = [
        [1.3561076367500755, 1.3116267195134017, 1.6785401875616097],
        [1.1039614644440658, 1.8891609992484688, 1.32030488587171],
        [1.9924524852447711, 1.9358920727142739, 1.2124401279391606],
        [1.4129542689796446, 1.7372166387197474, 1.7317806077076527],
        [1.3913371800587777, 1.4684674577930312, 1.5214136352476377]]

    metadata = ["label_1", "label_2", "label_3", "label_4", "label_5"]
    with LogWriter(logdir="./log/high_dimensional_test/train") as writer:
        writer.add_embeddings(tag='default',
                              mat=mat,
                              metadata=metadata)

    '''
    # You can code as follow if use multi-dimensional labels.
    mat = [
        [1.3561076367500755, 1.3116267195134017, 1.6785401875616097],
        [1.1039614644440658, 1.8891609992484688, 1.32030488587171],
        [1.9924524852447711, 1.9358920727142739, 1.2124401279391606],
        [1.4129542689796446, 1.7372166387197474, 1.7317806077076527],
        [1.3913371800587777, 1.4684674577930312, 1.5214136352476377]]

    metadata = [["label_a_1", "label_a_2", "label_a_3", "label_a_4", "label_a_5"],
              ["label_b_1", "label_b_2", "label_b_3", "label_b_4", "label_b_5"]]
    metadata_header = ["label_a", "label_b"]
    with LogWriter(logdir="./log/high_dimensional_test/train") as writer:
        writer.add_embeddings(tag='default',
                              mat=mat,
                              metadata=metadata,
                              metadata_header=metadata_header)
    '''