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constants.py
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# Copyright 2019 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.
# ==============================================================================
"""Constants used in tf_cnn_benchmarks."""
from enum import Enum
# Results fetched with this prefix will not be reduced. Instead, they will be
# passed as matrices to model's postprocess function.
UNREDUCED_ACCURACY_OP_PREFIX = "tensor:"
# Eval result values with this name prefix will be included in summary.
SIMPLE_VALUE_RESULT_PREFIX = "simple_value:"
class BenchmarkMode(object):
"""Benchmark running mode."""
TRAIN = "training"
EVAL = "evaluation"
TRAIN_AND_EVAL = "training + evaluation"
FORWARD_ONLY = "forward only"
class NetworkTopology(str, Enum):
"""Network topology describes how multiple GPUs are inter-connected.
"""
# DGX-1 uses hybrid cube mesh topology with the following device peer to peer
# matrix:
# DMA: 0 1 2 3 4 5 6 7
# 0: Y Y Y Y Y N N N
# 1: Y Y Y Y N Y N N
# 2: Y Y Y Y N N Y N
# 3: Y Y Y Y N N N Y
# 4: Y N N N Y Y Y Y
# 5: N Y N N Y Y Y Y
# 6: N N Y N Y Y Y Y
# 7: N N N Y Y Y Y Y
DGX1 = "dgx1"
# V100 in GCP are connected with the following device peer to peer matrix.
# In this topology, bandwidth of the connection depends on if it uses NVLink
# or PCIe link.
# DMA: 0 1 2 3 4 5 6 7
# 0: Y Y Y Y N Y N N
# 1: Y Y Y Y N N N N
# 2: Y Y Y Y N N N Y
# 3: Y Y Y Y N N N N
# 4: N N N N Y Y Y Y
# 5: Y N N N Y Y Y Y
# 6: N N N N Y Y Y Y
# 7: N N Y N Y Y Y Y
GCP_V100 = "gcp_v100"