Refine dygraph qat, test=develop (#31680)

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

+#   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.
+
+from paddle.nn import Linear, Conv2D
+from paddle.fluid.dygraph.nn import Pool2D
+from paddle.nn.layer.activation import ReLU, LeakyReLU, Sigmoid, ReLU6
+from paddle.nn.layer.activation import Tanh, Softmax, PReLU, Swish
+
+_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"]],
+}
+
+_quant_layers_map = {
+    'Conv2D': Conv2D,
+    'Linear': Linear,
+    'Pool2D': Pool2D,
+    'ReLU': ReLU,
+    'LeakyReLU': LeakyReLU,
+    'ReLU6': ReLU6,
+    'Softmax': Softmax,
+    'Tanh': Tanh,
+    'Swish': Swish
+}