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util.py
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util.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
"""Utility for benchmark"""
import sys
from tvm import relay
from tvm.relay import testing
def get_network(name, batch_size, dtype="float32"):
"""Get the symbol definition and random weight of a network
Parameters
----------
name: str
The name of the network, can be 'resnet-18', 'resnet-50', 'vgg-16', 'inception_v3', 'mobilenet', ...
batch_size: int
batch size
dtype: str
Data type
Returns
-------
net: tvm.IRModule
The relay function of network definition
params: dict
The random parameters for benchmark
input_shape: tuple
The shape of input tensor
output_shape: tuple
The shape of output tensor
"""
input_shape = (batch_size, 3, 224, 224)
output_shape = (batch_size, 1000)
if name == "mobilenet":
net, params = testing.mobilenet.get_workload(batch_size=batch_size, dtype=dtype)
elif name == "inception_v3":
input_shape = (batch_size, 3, 299, 299)
net, params = testing.inception_v3.get_workload(batch_size=batch_size, dtype=dtype)
elif "resnet" in name:
n_layer = int(name.split("-")[1])
net, params = testing.resnet.get_workload(
num_layers=n_layer, batch_size=batch_size, dtype=dtype
)
elif "vgg" in name:
n_layer = int(name.split("-")[1])
net, params = testing.vgg.get_workload(
num_layers=n_layer, batch_size=batch_size, dtype=dtype
)
elif "densenet" in name:
n_layer = int(name.split("-")[1])
net, params = testing.densenet.get_workload(
densenet_size=n_layer, batch_size=batch_size, dtype=dtype
)
elif "squeezenet" in name:
version = name.split("_v")[1]
net, params = testing.squeezenet.get_workload(
batch_size=batch_size, version=version, dtype=dtype
)
else:
raise ValueError("Unsupported network: " + name)
return net, params, input_shape, output_shape
def print_progress(msg):
"""print progress message
Parameters
----------
msg: str
The message to print
"""
sys.stdout.write(msg + "\r")
sys.stdout.flush()