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Minor fix in ILP missing import and sensitivity test #1329

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Jan 16, 2025
Merged

Minor fix in ILP missing import and sensitivity test #1329

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2 changes: 1 addition & 1 deletion model_compression_toolkit/core/common/mixed_precision/search_methods/linear_programming.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
import numpy as np
from pulp import *
from tqdm import tqdm
from typing import Dict, Tuple, Set, Any
from typing import Dict, Tuple, Any, Optional
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from model_compression_toolkit.logger import Logger
from model_compression_toolkit.core.common.mixed_precision.resource_utilization_tools.resource_utilization import ResourceUtilization, RUTarget
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4 changes: 2 additions & 2 deletions tests/keras_tests/function_tests/test_sensitivity_metric_interest_points.py
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Expand Up @@ -35,7 +35,7 @@
from model_compression_toolkit.core.common.mixed_precision.mixed_precision_quantization_config import \
MixedPrecisionQuantizationConfig
from model_compression_toolkit.core.common.mixed_precision.sensitivity_evaluation import get_mp_interest_points
from model_compression_toolkit.core import DEFAULTCONFIG
from model_compression_toolkit.core import DEFAULTCONFIG, CustomOpsetLayers
from model_compression_toolkit.core.common.quantization.set_node_quantization_config import \
set_quantization_configuration_to_graph
from model_compression_toolkit.core.common.similarity_analyzer import compute_mse, compute_kl_divergence
Expand Down Expand Up @@ -68,7 +68,7 @@ def dummy_representative_dataset():
c.activation_n_bits) for c in mixed_precision_cfg_list],
name="sem_test")

fqc = AttachTpcToKeras().attach(tpc, custom_opset2layer={"Input": ([InputLayer],)})
fqc = AttachTpcToKeras().attach(tpc, custom_opset2layer={"Input": CustomOpsetLayers([InputLayer])})

graph.set_fqc(fqc)
graph = set_quantization_configuration_to_graph(graph=graph,
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