File size: 6,397 Bytes
476455e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 | # Copyright Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.
from __future__ import absolute_import
import pytest
from sagemaker import TrainingInput
from sagemaker.inputs import FileSystemInput
def test_training_input_all_defaults(caplog):
prefix = "pre"
actual = TrainingInput(s3_data=prefix)
expected = {
"DataSource": {
"S3DataSource": {
"S3DataDistributionType": "FullyReplicated",
"S3DataType": "S3Prefix",
"S3Uri": prefix,
}
}
}
assert actual.config == expected
def test_training_input_all_arguments():
prefix = "pre"
distribution = "FullyReplicated"
compression = "Gzip"
content_type = "text/csv"
record_wrapping = "RecordIO"
s3_data_type = "Manifestfile"
input_mode = "Pipe"
result = TrainingInput(
s3_data=prefix,
distribution=distribution,
compression=compression,
input_mode=input_mode,
content_type=content_type,
record_wrapping=record_wrapping,
s3_data_type=s3_data_type,
)
expected = {
"DataSource": {
"S3DataSource": {
"S3DataDistributionType": distribution,
"S3DataType": s3_data_type,
"S3Uri": prefix,
}
},
"CompressionType": compression,
"ContentType": content_type,
"RecordWrapperType": record_wrapping,
"InputMode": input_mode,
}
assert result.config == expected
def test_training_input_all_arguments_heterogeneous_cluster():
prefix = "pre"
distribution = "FullyReplicated"
compression = "Gzip"
content_type = "text/csv"
record_wrapping = "RecordIO"
s3_data_type = "Manifestfile"
instance_groups = ["data-server"]
input_mode = "Pipe"
result = TrainingInput(
s3_data=prefix,
distribution=distribution,
compression=compression,
input_mode=input_mode,
content_type=content_type,
record_wrapping=record_wrapping,
s3_data_type=s3_data_type,
instance_groups=instance_groups,
)
expected = {
"DataSource": {
"S3DataSource": {
"S3DataDistributionType": distribution,
"S3DataType": s3_data_type,
"S3Uri": prefix,
"InstanceGroupNames": instance_groups,
}
},
"CompressionType": compression,
"ContentType": content_type,
"RecordWrapperType": record_wrapping,
"InputMode": input_mode,
}
assert result.config == expected
def test_file_system_input_default_access_mode():
file_system_id = "fs-0a48d2a1"
file_system_type = "EFS"
directory_path = "tensorflow"
actual = FileSystemInput(
file_system_id=file_system_id,
file_system_type=file_system_type,
directory_path=directory_path,
)
expected = {
"DataSource": {
"FileSystemDataSource": {
"FileSystemId": file_system_id,
"FileSystemType": file_system_type,
"DirectoryPath": directory_path,
"FileSystemAccessMode": "ro",
}
}
}
assert actual.config == expected
def test_file_system_input_all_arguments():
file_system_id = "fs-0a48d2a1"
file_system_type = "FSxLustre"
directory_path = "tensorflow"
file_system_access_mode = "rw"
actual = FileSystemInput(
file_system_id=file_system_id,
file_system_type=file_system_type,
directory_path=directory_path,
file_system_access_mode=file_system_access_mode,
)
expected = {
"DataSource": {
"FileSystemDataSource": {
"FileSystemId": file_system_id,
"FileSystemType": file_system_type,
"DirectoryPath": directory_path,
"FileSystemAccessMode": "rw",
}
}
}
assert actual.config == expected
def test_file_system_input_content_type():
file_system_id = "fs-0a48d2a1"
file_system_type = "FSxLustre"
directory_path = "tensorflow"
file_system_access_mode = "rw"
content_type = "application/json"
actual = FileSystemInput(
file_system_id=file_system_id,
file_system_type=file_system_type,
directory_path=directory_path,
file_system_access_mode=file_system_access_mode,
content_type=content_type,
)
expected = {
"DataSource": {
"FileSystemDataSource": {
"FileSystemId": file_system_id,
"FileSystemType": file_system_type,
"DirectoryPath": directory_path,
"FileSystemAccessMode": "rw",
}
},
"ContentType": content_type,
}
assert actual.config == expected
def test_file_system_input_type_invalid():
with pytest.raises(ValueError) as excinfo:
file_system_id = "fs-0a48d2a1"
file_system_type = "ABC"
directory_path = "tensorflow"
FileSystemInput(
file_system_id=file_system_id,
file_system_type=file_system_type,
directory_path=directory_path,
)
assert str(excinfo.value) == "Unrecognized file system type: ABC. Valid values: FSxLustre, EFS."
def test_file_system_input_mode_invalid():
with pytest.raises(ValueError) as excinfo:
file_system_id = "fs-0a48d2a1"
file_system_type = "EFS"
directory_path = "tensorflow"
file_system_access_mode = "p"
FileSystemInput(
file_system_id=file_system_id,
file_system_type=file_system_type,
directory_path=directory_path,
file_system_access_mode=file_system_access_mode,
)
assert str(excinfo.value) == "Unrecognized file system access mode: p. Valid values: ro, rw."
|