File size: 20,886 Bytes
9c6594c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
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
266
267
268
269
270
271
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
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
from __future__ import annotations

from contextlib import contextmanager
from datetime import datetime, timezone

# For backward compatibility with pydantic v1
from typing import Any, Callable, Dict, List, Optional

from google.protobuf.timestamp_pb2 import Timestamp
from pydantic import BaseModel, ConfigDict, Field
from typing_extensions import Self

from wandb import termwarn
from wandb._pydantic import IS_PYDANTIC_V2
from wandb.proto import wandb_internal_pb2

if IS_PYDANTIC_V2:
    from pydantic import model_validator


class DiskInfo(BaseModel, validate_assignment=True):
    total: Optional[int] = None
    used: Optional[int] = None

    def to_proto(self) -> wandb_internal_pb2.DiskInfo:
        return wandb_internal_pb2.DiskInfo(
            total=self.total or 0,
            used=self.used or 0,
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.DiskInfo) -> DiskInfo:
        return cls(total=proto.total, used=proto.used)


class MemoryInfo(BaseModel, validate_assignment=True):
    total: Optional[int] = None

    def to_proto(self) -> wandb_internal_pb2.MemoryInfo:
        return wandb_internal_pb2.MemoryInfo(total=self.total or 0)

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.MemoryInfo) -> MemoryInfo:
        return cls(total=proto.total)


class CpuInfo(BaseModel, validate_assignment=True):
    count: Optional[int] = None
    count_logical: Optional[int] = None

    def to_proto(self) -> wandb_internal_pb2.CpuInfo:
        return wandb_internal_pb2.CpuInfo(
            count=self.count or 0,
            count_logical=self.count_logical or 0,
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.CpuInfo) -> CpuInfo:
        return cls(count=proto.count, count_logical=proto.count_logical)


class AppleInfo(BaseModel, validate_assignment=True):
    name: Optional[str] = None
    ecpu_cores: Optional[int] = None
    pcpu_cores: Optional[int] = None
    gpu_cores: Optional[int] = None
    memory_gb: Optional[int] = None
    swap_total_bytes: Optional[int] = None
    ram_total_bytes: Optional[int] = None

    def to_proto(self) -> wandb_internal_pb2.AppleInfo:
        return wandb_internal_pb2.AppleInfo(
            name=self.name or "",
            ecpu_cores=self.ecpu_cores or 0,
            pcpu_cores=self.pcpu_cores or 0,
            gpu_cores=self.gpu_cores or 0,
            memory_gb=self.memory_gb or 0,
            swap_total_bytes=self.swap_total_bytes or 0,
            ram_total_bytes=self.ram_total_bytes or 0,
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.AppleInfo) -> AppleInfo:
        return cls(
            name=proto.name,
            ecpu_cores=proto.ecpu_cores,
            pcpu_cores=proto.pcpu_cores,
            gpu_cores=proto.gpu_cores,
            memory_gb=proto.memory_gb,
            swap_total_bytes=proto.swap_total_bytes,
            ram_total_bytes=proto.ram_total_bytes,
        )


class GpuNvidiaInfo(BaseModel, validate_assignment=True):
    name: Optional[str] = None
    memory_total: Optional[int] = None
    cuda_cores: Optional[int] = None
    architecture: Optional[str] = None
    uuid: Optional[str] = None

    def to_proto(self) -> wandb_internal_pb2.GpuNvidiaInfo:
        return wandb_internal_pb2.GpuNvidiaInfo(
            name=self.name or "",
            memory_total=self.memory_total or 0,
            cuda_cores=self.cuda_cores or 0,
            architecture=self.architecture or "",
            uuid=self.uuid or "",
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.GpuNvidiaInfo) -> GpuNvidiaInfo:
        return cls(
            name=proto.name,
            memory_total=proto.memory_total,
            cuda_cores=proto.cuda_cores,
            architecture=proto.architecture,
            uuid=proto.uuid,
        )


class GpuAmdInfo(BaseModel, validate_assignment=True):
    id: Optional[str] = None
    unique_id: Optional[str] = None
    vbios_version: Optional[str] = None
    performance_level: Optional[str] = None
    gpu_overdrive: Optional[str] = None
    gpu_memory_overdrive: Optional[str] = None
    max_power: Optional[str] = None
    series: Optional[str] = None
    model: Optional[str] = None
    vendor: Optional[str] = None
    sku: Optional[str] = None
    sclk_range: Optional[str] = None
    mclk_range: Optional[str] = None

    def to_proto(self) -> wandb_internal_pb2.GpuAmdInfo:
        return wandb_internal_pb2.GpuAmdInfo(
            id=self.id or "",
            unique_id=self.unique_id or "",
            vbios_version=self.vbios_version or "",
            performance_level=self.performance_level or "",
            gpu_overdrive=self.gpu_overdrive or "",
            gpu_memory_overdrive=self.gpu_memory_overdrive or "",
            max_power=self.max_power or "",
            series=self.series or "",
            model=self.model or "",
            vendor=self.vendor or "",
            sku=self.sku or "",
            sclk_range=self.sclk_range or "",
            mclk_range=self.mclk_range or "",
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.GpuAmdInfo) -> GpuAmdInfo:
        return cls(
            id=proto.id,
            unique_id=proto.unique_id,
            vbios_version=proto.vbios_version,
            performance_level=proto.performance_level,
            gpu_overdrive=proto.gpu_overdrive,
            gpu_memory_overdrive=proto.gpu_memory_overdrive,
            max_power=proto.max_power,
            series=proto.series,
            model=proto.model,
            vendor=proto.vendor,
            sku=proto.sku,
            sclk_range=proto.sclk_range,
            mclk_range=proto.mclk_range,
        )


class TrainiumInfo(BaseModel, validate_assignment=True):
    name: Optional[str] = None
    vendor: Optional[str] = None
    neuron_device_count: Optional[int] = None
    neuroncore_per_device_count: Optional[int] = None

    def to_proto(self) -> wandb_internal_pb2.TrainiumInfo:
        return wandb_internal_pb2.TrainiumInfo(
            name=self.name or "",
            vendor=self.vendor or "",
            neuron_device_count=self.neuron_device_count or 0,
            neuroncore_per_device_count=self.neuroncore_per_device_count or 0,
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.TrainiumInfo) -> TrainiumInfo:
        return cls(
            name=proto.name,
            vendor=proto.vendor,
            neuron_device_count=proto.neuron_device_count,
            neuroncore_per_device_count=proto.neuroncore_per_device_count,
        )


class TPUInfo(BaseModel, validate_assignment=True):
    name: Optional[str] = None
    hbm_gib: Optional[int] = None
    devices_per_chip: Optional[int] = None
    count: Optional[int] = None

    def to_proto(self) -> wandb_internal_pb2.TPUInfo:
        return wandb_internal_pb2.TPUInfo(
            name=self.name or "",
            hbm_gib=self.hbm_gib or 0,
            devices_per_chip=self.devices_per_chip or 0,
            count=self.count or 0,
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.TPUInfo) -> TPUInfo:
        return cls(
            name=proto.name,
            hbm_gib=proto.hbm_gib,
            devices_per_chip=proto.devices_per_chip,
            count=proto.count,
        )


class GitRepoRecord(BaseModel, validate_assignment=True):
    remote_url: Optional[str] = Field(None, alias="remote")
    commit: Optional[str] = None

    def to_proto(self) -> wandb_internal_pb2.GitRepoRecord:
        return wandb_internal_pb2.GitRepoRecord(
            remote_url=self.remote_url or "",
            commit=self.commit or "",
        )

    @classmethod
    def from_proto(cls, proto: wandb_internal_pb2.GitRepoRecord) -> GitRepoRecord:
        return cls(remote=proto.remote_url, commit=proto.commit)


class Metadata(BaseModel, validate_assignment=True):
    """Metadata about the run environment.

    NOTE: Definitions must be kept in sync with wandb_internal.proto::MetadataRequest.

    Examples:
        Update Run metadata:

        ```python
        with wandb.init(settings=settings) as run:
            run._metadata.gpu_nvidia = [
                {
                    "name": "Tesla T4",
                    "memory_total": "16106127360",
                    "cuda_cores": 2560,
                    "architecture": "Turing",
                },
                ...,
            ]

            run._metadata.gpu_type = "Tesla T4"
            run._metadata.gpu_count = 42

            run._metadata.tpu = {
                "name": "v6e",
                "hbm_gib": 32,
                "devices_per_chip": 1,
                "count": 1337,
            }
        ```
    """

    model_config = ConfigDict(
        extra="ignore",  # ignore extra fields
        validate_default=True,  # validate default values
        use_attribute_docstrings=True,  # for field descriptions
        revalidate_instances="always",
    )

    os: Optional[str] = None
    """Operating system."""

    python: Optional[str] = None
    """Python version."""

    heartbeat_at: Optional[datetime] = Field(default=None, alias="heartbeatAt")
    """Timestamp of last heartbeat."""

    started_at: Optional[datetime] = Field(default=None, alias="startedAt")
    """Timestamp of run start."""

    docker: Optional[str] = None
    """Docker image."""

    cuda: Optional[str] = None
    """CUDA version."""

    args: List[str] = Field(default_factory=list)
    """Command-line arguments."""

    state: Optional[str] = None
    """Run state."""

    program: Optional[str] = None
    """Program name."""

    code_path: Optional[str] = Field(default=None, alias="codePath")
    """Path to code."""

    git: Optional[GitRepoRecord] = None
    """Git repository information."""

    email: Optional[str] = None
    """Email address."""

    root: Optional[str] = None
    """Root directory."""

    host: Optional[str] = None
    """Host name."""

    username: Optional[str] = None
    """Username."""

    executable: Optional[str] = None
    """Python executable path."""

    code_path_local: Optional[str] = Field(default=None, alias="codePathLocal")
    """Local code path."""

    colab: Optional[str] = None
    """Colab URL."""

    cpu_count: Optional[int] = Field(default=None, alias="cpuCount")
    """CPU count."""

    cpu_count_logical: Optional[int] = Field(default=None, alias="cpuCountLogical")
    """Logical CPU count."""

    gpu_type: Optional[str] = Field(default=None, alias="gpuType")
    """GPU type."""

    gpu_count: Optional[int] = Field(default=None, alias="gpuCount")
    """GPU count."""

    disk: Dict[str, DiskInfo] = Field(default_factory=dict)
    """Disk information."""

    memory: Optional[MemoryInfo] = None
    """Memory information."""

    cpu: Optional[CpuInfo] = None
    """CPU information."""

    apple: Optional[AppleInfo] = None
    """Apple silicon information."""

    gpu_nvidia: List[GpuNvidiaInfo] = Field(default_factory=list, alias="gpuNvidia")
    """NVIDIA GPU information."""

    gpu_amd: List[GpuAmdInfo] = Field(default_factory=list, alias="gpuAmd")
    """AMD GPU information."""

    slurm: Dict[str, str] = Field(default_factory=dict)
    """Slurm environment information."""

    cuda_version: Optional[str] = Field(default=None, alias="cudaVersion")
    """CUDA version."""

    trainium: Optional[TrainiumInfo] = None
    """Trainium information."""

    tpu: Optional[TPUInfo] = None
    """TPU information."""

    def __init__(self, **data):
        super().__init__(**data)

        if not IS_PYDANTIC_V2:
            termwarn(
                "Metadata is read-only when using pydantic v1.",
                repeat=False,
            )
            return

        # Callback for post-update. This is used in the Run object to trigger
        # a metadata update after the object is modified.
        self._post_update_callback: Optional[Callable] = None  # type: ignore

    def _set_callback(self, callback: Callable) -> None:
        if not IS_PYDANTIC_V2:
            return
        self._post_update_callback = callback

    @contextmanager
    def disable_callback(self):
        """Temporarily disable callback."""
        if not IS_PYDANTIC_V2:
            yield
        else:
            original_callback = self._post_update_callback
            self._post_update_callback = None
            try:
                yield
            finally:
                self._post_update_callback = original_callback

    if IS_PYDANTIC_V2:

        @model_validator(mode="after")
        def _callback(self) -> Self:
            if getattr(self, "_post_update_callback", None) is not None:
                self._post_update_callback(self.to_proto())  # type: ignore

            return self

    @classmethod
    def _datetime_to_timestamp(cls, dt: datetime | None) -> Timestamp | None:
        """Convert a datetime to a protobuf Timestamp."""
        if dt is None:
            return None
        ts = Timestamp()
        # Convert to UTC if the datetime has a timezone
        if dt.tzinfo is not None:
            dt = dt.astimezone(timezone.utc)
        # Convert to seconds and nanos
        ts.seconds = int(dt.timestamp())
        ts.nanos = dt.microsecond * 1000
        return ts

    @classmethod
    def _timestamp_to_datetime(cls, ts: Timestamp | None) -> datetime | None:
        """Convert a protobuf Timestamp to a datetime."""
        if ts is None:
            return None
        # Create UTC datetime from seconds and add microseconds
        dt = datetime.fromtimestamp(ts.seconds, tz=timezone.utc)
        return dt.replace(microsecond=ts.nanos // 1000)

    def to_proto(self) -> wandb_internal_pb2.MetadataRequest:  # noqa: C901
        """Convert the metadata to a protobuf message."""
        proto = wandb_internal_pb2.MetadataRequest()

        # A flag to indicate that the metadata has been modified by the user.
        # Updates to the metadata object originating from the user take precedence
        # over automatic updates.
        proto._user_modified = True

        # Handle all scalar fields
        if self.os is not None:
            proto.os = self.os
        if self.python is not None:
            proto.python = self.python
        if self.docker is not None:
            proto.docker = self.docker
        if self.cuda is not None:
            proto.cuda = self.cuda
        if self.state is not None:
            proto.state = self.state
        if self.program is not None:
            proto.program = self.program
        if self.code_path is not None:
            proto.code_path = self.code_path
        if self.email is not None:
            proto.email = self.email
        if self.root is not None:
            proto.root = self.root
        if self.host is not None:
            proto.host = self.host
        if self.username is not None:
            proto.username = self.username
        if self.executable is not None:
            proto.executable = self.executable
        if self.code_path_local is not None:
            proto.code_path_local = self.code_path_local
        if self.colab is not None:
            proto.colab = self.colab
        if self.cpu_count is not None:
            proto.cpu_count = self.cpu_count
        if self.cpu_count_logical is not None:
            proto.cpu_count_logical = self.cpu_count_logical
        if self.gpu_type is not None:
            proto.gpu_type = self.gpu_type
        if self.gpu_count is not None:
            proto.gpu_count = self.gpu_count
        if self.cuda_version is not None:
            proto.cuda_version = self.cuda_version

        # Handle timestamp fields
        if self.heartbeat_at is not None:
            proto.heartbeat_at.CopyFrom(self._datetime_to_timestamp(self.heartbeat_at))
        if self.started_at is not None:
            proto.started_at.CopyFrom(self._datetime_to_timestamp(self.started_at))

        # Handle nested message fields
        if self.git is not None:
            proto.git.CopyFrom(self.git.to_proto())
        if self.memory is not None:
            proto.memory.CopyFrom(self.memory.to_proto())
        if self.cpu is not None:
            proto.cpu.CopyFrom(self.cpu.to_proto())
        if self.apple is not None:
            proto.apple.CopyFrom(self.apple.to_proto())
        if self.trainium is not None:
            proto.trainium.CopyFrom(self.trainium.to_proto())
        if self.tpu is not None:
            proto.tpu.CopyFrom(self.tpu.to_proto())

        # Handle repeated fields
        if self.args:
            proto.args.extend(self.args)
        if self.gpu_nvidia:
            proto.gpu_nvidia.extend(gpu.to_proto() for gpu in self.gpu_nvidia)
        if self.gpu_amd:
            proto.gpu_amd.extend(gpu.to_proto() for gpu in self.gpu_amd)

        # Handle map fields
        if self.disk:
            for k, v in self.disk.items():
                proto.disk[k].CopyFrom(v.to_proto())
        if self.slurm:
            proto.slurm.update(self.slurm)

        return proto

    def update_from_proto(  # noqa: C901
        self,
        proto: wandb_internal_pb2.MetadataRequest,
        skip_existing: bool = False,
    ):
        """Update the metadata from a protobuf message.

        Args:
            proto (wandb_internal_pb2.MetadataRequest): The protobuf message.
            skip_existing (bool, optional): Skip updating fields that are already set.
        """
        data: Dict[str, Any] = {}

        # Handle all scalar fields.
        if proto.os:
            data["os"] = proto.os
        if proto.python:
            data["python"] = proto.python
        if proto.docker:
            data["docker"] = proto.docker
        if proto.cuda:
            data["cuda"] = proto.cuda
        if proto.state:
            data["state"] = proto.state
        if proto.program:
            data["program"] = proto.program
        if proto.code_path:
            data["code_path"] = proto.code_path
        if proto.email:
            data["email"] = proto.email
        if proto.root:
            data["root"] = proto.root
        if proto.host:
            data["host"] = proto.host
        if proto.username:
            data["username"] = proto.username
        if proto.executable:
            data["executable"] = proto.executable
        if proto.code_path_local:
            data["code_path_local"] = proto.code_path_local
        if proto.colab:
            data["colab"] = proto.colab
        if proto.cpu_count:
            data["cpu_count"] = proto.cpu_count
        if proto.cpu_count_logical:
            data["cpu_count_logical"] = proto.cpu_count_logical
        if proto.gpu_type:
            data["gpu_type"] = proto.gpu_type
        if proto.gpu_count:
            data["gpu_count"] = proto.gpu_count
        if proto.cuda_version:
            data["cuda_version"] = proto.cuda_version

        # Handle timestamp fields (these are messages, so use HasField)
        if proto.HasField("heartbeat_at"):
            data["heartbeat_at"] = self._timestamp_to_datetime(proto.heartbeat_at)
        if proto.HasField("started_at"):
            data["started_at"] = self._timestamp_to_datetime(proto.started_at)

        # Handle nested message fields (these have presence)
        if proto.HasField("git"):
            data["git"] = GitRepoRecord.from_proto(proto.git)
        if proto.HasField("memory"):
            data["memory"] = MemoryInfo.from_proto(proto.memory)
        if proto.HasField("cpu"):
            data["cpu"] = CpuInfo.from_proto(proto.cpu)
        if proto.HasField("apple"):
            data["apple"] = AppleInfo.from_proto(proto.apple)
        if proto.HasField("trainium"):
            data["trainium"] = TrainiumInfo.from_proto(proto.trainium)
        if proto.HasField("tpu"):
            data["tpu"] = TPUInfo.from_proto(proto.tpu)

        # Handle repeated fields
        if len(proto.args) > 0:
            data["args"] = list(proto.args)
        else:
            data["args"] = []
        if len(proto.gpu_nvidia) > 0:
            data["gpu_nvidia"] = [
                GpuNvidiaInfo.from_proto(gpu) for gpu in proto.gpu_nvidia
            ]
        else:
            data["gpu_nvidia"] = []
        if len(proto.gpu_amd) > 0:
            data["gpu_amd"] = [GpuAmdInfo.from_proto(gpu) for gpu in proto.gpu_amd]
        else:
            data["gpu_amd"] = []

        # Handle map fields
        if len(proto.disk) > 0:
            data["disk"] = {k: DiskInfo.from_proto(v) for k, v in proto.disk.items()}
        else:
            data["disk"] = {}
        if len(proto.slurm) > 0:
            data["slurm"] = dict(proto.slurm)
        else:
            data["slurm"] = {}

        for k, v in data.items():
            if skip_existing and getattr(self, k) is not None:
                continue
            setattr(self, k, v)