wehub-resource-sync
70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
#
|
|
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 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 tensorflow as tf
|
|
from tensorflow_quantization import quantize_config
|
|
import tensorflow_quantization.global_config as global_config
|
|
from tensorflow_quantization import QuantizationSpec
|
|
from network_pool import bilbo_28_28
|
|
|
|
|
|
def test_global_object_creation():
|
|
fnq = quantize_config.FullNetworkQuantization()
|
|
assert (
|
|
len(global_config.G_CONFIG_OBJECT) == 1
|
|
), "quantization config class object is not added to the global list"
|
|
assert isinstance(
|
|
global_config.G_CONFIG_OBJECT[0], quantize_config.FullNetworkQuantization
|
|
)
|
|
fnq.clean()
|
|
tf.keras.backend.clear_session()
|
|
|
|
|
|
def test_quantization_config_layer_names_add():
|
|
model = bilbo_28_28()
|
|
fnq = quantize_config.FullNetworkQuantization()
|
|
qspec = QuantizationSpec()
|
|
qspec.add(name="conv_0")
|
|
qspec.add(name="conv_2")
|
|
qspec.add(name="conv_4")
|
|
fnq.add_quantization_spec_object(qspec, model.layers)
|
|
assert (
|
|
"conv_0" in fnq.layerwise_config
|
|
), "There seems to be an issue with layer name addition in `add_special_layers` function"
|
|
assert (
|
|
"conv_2" in fnq.layerwise_config
|
|
), "There seems to be an issue with layer name addition in `add_special_layers` function"
|
|
assert (
|
|
"conv_4" in fnq.layerwise_config
|
|
), "There seems to be an issue with layer name addition in `add_special_layers` function"
|
|
fnq.clean()
|
|
tf.keras.backend.clear_session()
|
|
|
|
|
|
def test_quantization_config_layer_class_add():
|
|
model = bilbo_28_28()
|
|
fnq = quantize_config.FullNetworkQuantization()
|
|
qspec = QuantizationSpec()
|
|
qspec.add(name="Dense", is_keras_class=True)
|
|
fnq.add_quantization_spec_object(qspec, model.layers)
|
|
assert (
|
|
"Dense" in fnq.layer_classes_to_quantize
|
|
), "There seems to be an issue with layer class name addition in `add_special_layers` function"
|
|
fnq.clean()
|
|
tf.keras.backend.clear_session()
|