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Quick fix unit tests.
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This commit is contained in:
comfyanonymous 2025-12-03 20:11:28 -05:00
parent 8fa3d1281e
commit 83a0fa107b
1 changed files with 11 additions and 4 deletions
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15
tests-unit/comfy_quant/test_mixed_precision.py
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@ -2,6 +2,7 @@ import unittest
import torch import torch
import sys import sys
import os import os
import json
# Add comfy to path # Add comfy to path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..")) sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
@ -15,6 +16,7 @@ if not has_gpu():
from comfy import ops from comfy import ops
from comfy.quant_ops import QuantizedTensor from comfy.quant_ops import QuantizedTensor
import comfy.utils
class SimpleModel(torch.nn.Module): class SimpleModel(torch.nn.Module):
@ -94,8 +96,9 @@ class TestMixedPrecisionOps(unittest.TestCase):
"layer3.weight_scale": torch.tensor(1.5, dtype=torch.float32), "layer3.weight_scale": torch.tensor(1.5, dtype=torch.float32),
} }
state_dict, _ = comfy.utils.convert_old_quants(state_dict, metadata={"_quantization_metadata": json.dumps({"layers": layer_quant_config})})
# Create model and load state dict (strict=False because custom loading pops keys) # Create model and load state dict (strict=False because custom loading pops keys)
model = SimpleModel(operations=ops.mixed_precision_ops(layer_quant_config)) model = SimpleModel(operations=ops.mixed_precision_ops({}))
model.load_state_dict(state_dict, strict=False) model.load_state_dict(state_dict, strict=False)
# Verify weights are wrapped in QuantizedTensor # Verify weights are wrapped in QuantizedTensor
@ -142,7 +145,8 @@ class TestMixedPrecisionOps(unittest.TestCase):
"layer3.bias": torch.randn(40, dtype=torch.bfloat16), "layer3.bias": torch.randn(40, dtype=torch.bfloat16),
} }
model = SimpleModel(operations=ops.mixed_precision_ops(layer_quant_config)) state_dict1, _ = comfy.utils.convert_old_quants(state_dict1, metadata={"_quantization_metadata": json.dumps({"layers": layer_quant_config})})
model = SimpleModel(operations=ops.mixed_precision_ops({}))
model.load_state_dict(state_dict1, strict=False) model.load_state_dict(state_dict1, strict=False)
# Save state dict # Save state dict
@ -179,7 +183,8 @@ class TestMixedPrecisionOps(unittest.TestCase):
"layer3.bias": torch.randn(40, dtype=torch.bfloat16), "layer3.bias": torch.randn(40, dtype=torch.bfloat16),
} }
model = SimpleModel(operations=ops.mixed_precision_ops(layer_quant_config)) state_dict, _ = comfy.utils.convert_old_quants(state_dict, metadata={"_quantization_metadata": json.dumps({"layers": layer_quant_config})})
model = SimpleModel(operations=ops.mixed_precision_ops({}))
model.load_state_dict(state_dict, strict=False) model.load_state_dict(state_dict, strict=False)
# Add a weight function (simulating LoRA) # Add a weight function (simulating LoRA)
@ -216,8 +221,10 @@ class TestMixedPrecisionOps(unittest.TestCase):
"layer3.bias": torch.randn(40, dtype=torch.bfloat16), "layer3.bias": torch.randn(40, dtype=torch.bfloat16),
} }
state_dict, _ = comfy.utils.convert_old_quants(state_dict, metadata={"_quantization_metadata": json.dumps({"layers": layer_quant_config})})
# Load should raise KeyError for unknown format in QUANT_FORMAT_MIXINS # Load should raise KeyError for unknown format in QUANT_FORMAT_MIXINS
model = SimpleModel(operations=ops.mixed_precision_ops(layer_quant_config)) model = SimpleModel(operations=ops.mixed_precision_ops({}))
with self.assertRaises(KeyError): with self.assertRaises(KeyError):
model.load_state_dict(state_dict, strict=False) model.load_state_dict(state_dict, strict=False)