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Paddle/python/paddle/fluid/contrib/slim/quantization/imperative/utils.py

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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 paddle
op_real_in_out_name = {
"conv2d": [["Input", "Filter"], ["Output"]],
"depthwise_conv2d": [["Input", "Filter"], ["Output"]],
"pool2d": [["X"], ["Out"]],
"elementwise_add": [["X", "Y"], ["Out"]],
"softmax": [["X"], ["Out"]],
"relu": [["X"], ["Out"]],
"relu6": [["X"], ["Out"]],
"leaky_relu": [["X"], ["Out"]],
"prelu": [["X"], ["Out"]],
"tanh": [["X"], ["Out"]],
"batch_norm": [["X"], ["Y"]],
"sigmoid": [["X"], ["Out"]],
"swish": [["X"], ["Out"]],
}
supported_quant_layers_map = {
'Conv2D': paddle.nn.Conv2D,
'Linear': paddle.nn.Linear,
'AdaptiveAvgPool2D': paddle.nn.AdaptiveAvgPool2D,
'AdaptiveMaxPool2D': paddle.nn.AdaptiveMaxPool2D,
'AvgPool2D': paddle.nn.AvgPool2D,
'MaxPool2D': paddle.nn.MaxPool2D,
'Hardswish': paddle.nn.Hardswish,
'LeakyReLU': paddle.nn.LeakyReLU,
'PReLU': paddle.nn.PReLU,
'ReLU': paddle.nn.ReLU,
'ReLU6': paddle.nn.ReLU6,
'Sigmoid': paddle.nn.Sigmoid,
'Softmax': paddle.nn.Softmax,
'Swish': paddle.nn.Swish,
'Tanh': paddle.nn.Tanh,
'Hardswish': paddle.nn.Hardswish,
'BatchNorm': paddle.nn.BatchNorm,
'GroupNorm': paddle.nn.GroupNorm,
'LayerNorm': paddle.nn.LayerNorm,
}
fake_quantize_dequantize_types = [
"fake_quantize_dequantize_abs_max",
"fake_quantize_dequantize_channel_wise_abs_max",
"fake_quantize_dequantize_moving_average_abs_max"
]
out_scale_layers_list = (
paddle.nn.Conv2D, paddle.nn.Linear, paddle.nn.MaxPool2D,
paddle.nn.BatchNorm, paddle.nn.BatchNorm2D, paddle.nn.SyncBatchNorm,
paddle.nn.LeakyReLU, paddle.nn.PReLU, paddle.nn.ReLU, paddle.nn.ReLU6,
paddle.nn.Sigmoid, paddle.nn.Softmax, paddle.nn.Tanh, paddle.nn.Swish)