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test_qdq_node_placement.py
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#
# SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import sys
import tensorflow as tf
from tensorflow_quantization.custom_qdq_cases import MobileNetQDQCase
from examples.utils import get_tfkeras_model
from tests.onnx_graph_qdq_validator import validate_quantized_model
from tensorflow_quantization.utils import CreateAssetsFolders
import pytest
# Create a directory to save test models
test_assets = CreateAssetsFolders("test_qdq_node_placement")
def test_mobilenetv1_quantize_full():
"""
MobileNet-v1: Full model quantization
"""
this_function_name = sys._getframe().f_code.co_name
# Instantiate Baseline model
nn_model_original = get_tfkeras_model(model_name="mobilenet_v1")
custom_qdq_cases = [MobileNetQDQCase()]
q_model, validated = validate_quantized_model(
test_assets, nn_model_original, test_name=this_function_name,
custom_qdq_cases=custom_qdq_cases
)
assert validated, "ONNX QDQ validation for full network quantization failed!"
# necessary to clear model layer names from the memory
tf.keras.backend.clear_session()
def test_mobilenetv2_quantize_full():
"""
MobileNet-v2: Full model quantization
"""
this_function_name = sys._getframe().f_code.co_name
# Instantiate Baseline model
nn_model_original = get_tfkeras_model(model_name="mobilenet_v2")
custom_qdq_cases = [MobileNetQDQCase()]
q_model, validated = validate_quantized_model(
test_assets, nn_model_original, test_name=this_function_name,
custom_qdq_cases=custom_qdq_cases
)
assert validated, "ONNX QDQ validation for full network quantization failed!"
# necessary to clear model layer names from the memory
tf.keras.backend.clear_session()