#
# Copyright (c) 2019, Neptune Labs Sp. z o.o.
#
# 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 tensorflow as tf
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator


class NeptuneEventAccumulator(EventAccumulator):

    def _ProcessTensor(self, tag, wall_time, step, tensor):
        if tensor.dtype == tf.string:
            # noinspection PyProtectedMember,PyUnresolvedReferences
            super(NeptuneEventAccumulator, self)._ProcessTensor(tag, wall_time, step, tensor)
