Skip to content

Load

NGCDownloader dataclass

A class to download files from NGC in a Pooch-compatible way.

NGC downloads are typically structured as directories, while pooch expects a single file. This class downloads a single file from an NGC directory and moves it to the desired location.

Source code in bionemo/core/data/load.py
 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
@dataclass
class NGCDownloader:
    """A class to download files from NGC in a Pooch-compatible way.

    NGC downloads are typically structured as directories, while pooch expects a single file. This class
    downloads a single file from an NGC directory and moves it to the desired location.
    """

    filename: str
    ngc_registry: Literal["model", "resource"]

    def __call__(self, url: str, output_file: str | Path, _: pooch.Pooch) -> None:
        """Download a file from NGC."""
        client = default_ngc_client()
        client.configure()
        nest_asyncio.apply()

        download_fns = {
            "model": client.registry.model.download_version,
            "resource": client.registry.resource.download_version,
        }

        output_file = Path(output_file)
        output_file.parent.mkdir(parents=True, exist_ok=True)

        # NGC seems to always download to a specific directory that we can't specify ourselves.
        ngc_dirname = Path(url).name.replace(":", "_v")

        with tempfile.TemporaryDirectory(dir=output_file.parent) as temp_dir:
            download_fns[self.ngc_registry](url, temp_dir, file_patterns=[self.filename])
            shutil.move(Path(temp_dir) / ngc_dirname / self.filename, output_file)

__call__(url, output_file, _)

Download a file from NGC.

Source code in bionemo/core/data/load.py
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
def __call__(self, url: str, output_file: str | Path, _: pooch.Pooch) -> None:
    """Download a file from NGC."""
    client = default_ngc_client()
    client.configure()
    nest_asyncio.apply()

    download_fns = {
        "model": client.registry.model.download_version,
        "resource": client.registry.resource.download_version,
    }

    output_file = Path(output_file)
    output_file.parent.mkdir(parents=True, exist_ok=True)

    # NGC seems to always download to a specific directory that we can't specify ourselves.
    ngc_dirname = Path(url).name.replace(":", "_v")

    with tempfile.TemporaryDirectory(dir=output_file.parent) as temp_dir:
        download_fns[self.ngc_registry](url, temp_dir, file_patterns=[self.filename])
        shutil.move(Path(temp_dir) / ngc_dirname / self.filename, output_file)

default_ngc_client()

Create a default NGC client.

This should load the NGC API key from ~/.ngc/config, or from environment variables passed to the docker container.

Source code in bionemo/core/data/load.py
72
73
74
75
76
77
def default_ngc_client() -> ngcsdk.Client:
    """Create a default NGC client.

    This should load the NGC API key from ~/.ngc/config, or from environment variables passed to the docker container.
    """
    return ngcsdk.Client()

default_pbss_client()

Create a default S3 client for PBSS.

Source code in bionemo/core/data/load.py
47
48
49
50
def default_pbss_client():
    """Create a default S3 client for PBSS."""
    retry_config = Config(retries={"max_attempts": 10, "mode": "standard"})
    return boto3.client("s3", endpoint_url="https://pbss.s8k.io", config=retry_config)

entrypoint()

Allows a user to get a specific artifact from the command line.

Source code in bionemo/core/data/load.py
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
def entrypoint():
    """Allows a user to get a specific artifact from the command line."""
    parser = argparse.ArgumentParser(
        description="Retrieve the local path to the requested artifact name or list resources."
    )

    # Create mutually exclusive group
    group = parser.add_mutually_exclusive_group(required=True)

    # Add the argument for artifact name, which is required if --list-resources is not used
    group.add_argument("artifact_name", type=str, nargs="?", help="Name of the artifact")

    # Add the --list-resources option
    group.add_argument(
        "--list-resources", action="store_true", default=False, help="List all available artifacts and then exit."
    )

    # Add the --source option
    parser.add_argument(
        "--source",
        type=str,
        choices=["pbss", "ngc"],
        default="ngc",
        help='Backend to use, Internal NVIDIA users can set this to "pbss".',
    )

    parser.add_argument(
        "--all",
        action="store_true",
        default=False,
        help="Download all resources. Ignores all other options.",
    )
    args = parser.parse_args()
    maybe_error = main(
        download_all=args.all,
        list_resources=args.list_resources,
        artifact_name=args.artifact_name,
        source=args.source,
    )
    if maybe_error is not None:
        parser.error(maybe_error)

load(model_or_data_tag, source=DEFAULT_SOURCE, resources=None, cache_dir=None)

Download a resource from PBSS or NGC.

Parameters:

Name Type Description Default
model_or_data_tag str

A pointer to the desired resource. Must be a key in the resources dictionary.

required
source SourceOptions

Either "pbss" (NVIDIA-internal download) or "ngc" (NVIDIA GPU Cloud). Defaults to "pbss".

DEFAULT_SOURCE
resources dict[str, Resource] | None

A custom dictionary of resources. If None, the default resources will be used. (Mostly for testing.)

None
cache_dir Path | None

The directory to store downloaded files. Defaults to BIONEMO_CACHE_DIR. (Mostly for testing.)

None

Raises:

Type Description
ValueError

If the desired tag was not found, or if an NGC url was requested but not provided.

Returns:

Type Description
Path

A Path object pointing either at the downloaded file, or at a decompressed folder containing the

Path

file(s).

Examples:

For a resource specified in 'filename.yaml' with tag 'tag', the following will download the file:

>>> load("filename/tag")
PosixPath(/tmp/bionemo/downloaded-file-name)
Source code in bionemo/core/data/load.py
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
def load(
    model_or_data_tag: str,
    source: SourceOptions = DEFAULT_SOURCE,
    resources: dict[str, Resource] | None = None,
    cache_dir: Path | None = None,
) -> Path:
    """Download a resource from PBSS or NGC.

    Args:
        model_or_data_tag: A pointer to the desired resource. Must be a key in the resources dictionary.
        source: Either "pbss" (NVIDIA-internal download) or "ngc" (NVIDIA GPU Cloud). Defaults to "pbss".
        resources: A custom dictionary of resources. If None, the default resources will be used. (Mostly for testing.)
        cache_dir: The directory to store downloaded files. Defaults to BIONEMO_CACHE_DIR. (Mostly for testing.)

    Raises:
        ValueError: If the desired tag was not found, or if an NGC url was requested but not provided.

    Returns:
        A Path object pointing either at the downloaded file, or at a decompressed folder containing the
        file(s).

    Examples:
        For a resource specified in 'filename.yaml' with tag 'tag', the following will download the file:
        >>> load("filename/tag")
        PosixPath(/tmp/bionemo/downloaded-file-name)
    """
    if resources is None:
        resources = get_all_resources()

    if cache_dir is None:
        cache_dir = BIONEMO_CACHE_DIR

    if model_or_data_tag not in resources:
        raise ValueError(f"Resource '{model_or_data_tag}' not found.")

    if source == "ngc" and resources[model_or_data_tag].ngc is None:
        raise ValueError(f"Resource '{model_or_data_tag}' does not have an NGC URL.")

    resource = resources[model_or_data_tag]
    filename = str(resource.pbss).split("/")[-1]

    extension = "".join(Path(filename).suffixes)
    processor = _get_processor(extension, resource.unpack, resource.decompress)

    if source == "pbss":
        download_fn = _s3_download
        url = resource.pbss

    elif source == "ngc":
        assert resource.ngc_registry is not None
        download_fn = NGCDownloader(filename=filename, ngc_registry=resource.ngc_registry)
        url = resource.ngc

    else:
        raise ValueError(f"Source '{source}' not supported.")

    download = pooch.retrieve(
        url=str(url),
        fname=f"{resource.sha256}-{filename}",
        known_hash=resource.sha256,
        path=cache_dir,
        downloader=download_fn,
        processor=processor,
    )

    # Pooch by default returns a list of unpacked files if they unpack a zipped or tarred directory. Instead of that, we
    # just want the unpacked, parent folder.
    if isinstance(download, list):
        return Path(processor.extract_dir)  # type: ignore

    else:
        return Path(download)

main(download_all, list_resources, artifact_name, source)

Main download script logic: parameters are 1:1 with CLI flags. Returns string describing error on failure.

Source code in bionemo/core/data/load.py
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
def main(
    download_all: bool, list_resources: bool, artifact_name: str, source: Literal["pbss", "ngc"]
) -> Optional[str]:
    """Main download script logic: parameters are 1:1 with CLI flags. Returns string describing error on failure."""
    if download_all:
        print("Downloading all resources:", file=sys.stderr)
        print_resources(output_source=sys.stderr)
        print("-" * 80, file=sys.stderr)

        resource_to_local: dict[str, Path] = {}
        for resource_name in tqdm(
            sorted(get_all_resources()),
            desc="Downloading Resources",
        ):
            with contextlib.redirect_stdout(sys.stderr):
                local_path = load(resource_name, source=source)
            resource_to_local[resource_name] = local_path

        print("-" * 80, file=sys.stderr)
        print("All resources downloaded:", file=sys.stderr)
        for resource_name, local_path in sorted(resource_to_local.items()):
            print(f"  {resource_name}: {str(local_path.absolute())}", file=sys.stderr)

    elif list_resources:
        print_resources(output_source=sys.stdout)

    elif artifact_name is not None and len(artifact_name) > 0:
        # Get the local path for the provided artifact name
        with contextlib.redirect_stdout(sys.stderr):
            local_path = load(artifact_name, source=source)

        # Print the result => CLI use assumes that we can get the single downloaded resource's path on STDOUT
        print(str(local_path.absolute()))

    else:
        return "You must provide an artifact name if --list-resources or --all is not set!"

print_resources(*, output_source=sys.stdout)

Prints all available downloadable resources & their sources to STDOUT.

Source code in bionemo/core/data/load.py
213
214
215
216
217
218
219
220
221
222
def print_resources(*, output_source: TextIO = sys.stdout) -> None:
    """Prints all available downloadable resources & their sources to STDOUT."""
    print("#resource_name\tsource_options", file=output_source)
    for resource_name, resource in sorted(get_all_resources().items()):
        sources = []
        if resource.ngc is not None:
            sources.append("ngc")
        if resource.pbss is not None:
            sources.append("pbss")
        print(f"{resource_name}\t{','.join(sources)}", file=output_source)