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Add warning log if model mis-reports its required cache memory before load from disk.

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This commit is contained in:
Ryan Dick 2023-09-29 08:38:32 -04:00
parent 594fd3ba6d
commit f9faca7c91
1 changed files with 12 additions and 0 deletions
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12
invokeai/backend/model_management/model_cache.py
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@ -18,6 +18,7 @@ context. Use like this:
import gc import gc
import hashlib import hashlib
import math
import os import os
import sys import sys
import time import time
@ -46,6 +47,8 @@ DEFAULT_MAX_VRAM_CACHE_SIZE = 2.75
# actual size of a gig # actual size of a gig
GIG = 1073741824 GIG = 1073741824
# Size of a MB in bytes.
MB = 2**20
@dataclass @dataclass
@ -233,6 +236,15 @@ class ModelCache(object):
f" {get_pretty_snapshot_diff(snapshot_before, snapshot_after)}." f" {get_pretty_snapshot_diff(snapshot_before, snapshot_after)}."
) )
if not math.isclose(
self_reported_model_size_before_load, self_reported_model_size_after_load, abs_tol=10 * MB
):
self.logger.warning(
f"Model '{key}' mis-reported its size before load. Self-reported size before/after load:"
f" {(self_reported_model_size_before_load/GIG):.2f}GB /"
f" {(self_reported_model_size_after_load/GIG):.2f}GB."
)
cache_entry = _CacheRecord(self, model, self_reported_model_size_after_load) cache_entry = _CacheRecord(self, model, self_reported_model_size_after_load)
self._cached_models[key] = cache_entry self._cached_models[key] = cache_entry
else: else: