Move embedder, middleware, and head parameters to framework agnostic modules. (#45)

Part of #28

rl_coach/architectures/middleware_parameters.py

@@ -0,0 +1,54 @@
+#
+# Copyright (c) 2017 Intel Corporation
+#
+# 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 typing import List, Type, Union
+
+from rl_coach.base_parameters import MiddlewareScheme, NetworkComponentParameters
+
+
+class MiddlewareParameters(NetworkComponentParameters):
+    def __init__(self, parameterized_class_name: str,
+                 activation_function: str='relu', scheme: Union[List, MiddlewareScheme]=MiddlewareScheme.Medium,
+                 batchnorm: bool=False, dropout: bool=False, name='middleware', dense_layer=None, is_training=False):
+        super().__init__(dense_layer=dense_layer)
+        self.activation_function = activation_function
+        self.scheme = scheme
+        self.batchnorm = batchnorm
+        self.dropout = dropout
+        self.name = name
+        self.is_training = is_training
+        self.parameterized_class_name = parameterized_class_name
+
+
+class FCMiddlewareParameters(MiddlewareParameters):
+    def __init__(self, activation_function='relu',
+                 scheme: Union[List, MiddlewareScheme] = MiddlewareScheme.Medium,
+                 batchnorm: bool = False, dropout: bool = False,
+                 name="middleware_fc_embedder", dense_layer=None, is_training=False):
+        super().__init__(parameterized_class_name="FCMiddleware", activation_function=activation_function,
+                         scheme=scheme, batchnorm=batchnorm, dropout=dropout, name=name, dense_layer=dense_layer,
+                         is_training=is_training)
+
+
+class LSTMMiddlewareParameters(MiddlewareParameters):
+    def __init__(self, activation_function='relu', number_of_lstm_cells=256,
+                 scheme: MiddlewareScheme = MiddlewareScheme.Medium,
+                 batchnorm: bool = False, dropout: bool = False,
+                 name="middleware_lstm_embedder", dense_layer=None, is_training=False):
+        super().__init__(parameterized_class_name="LSTMMiddleware", activation_function=activation_function,
+                         scheme=scheme, batchnorm=batchnorm, dropout=dropout, name=name, dense_layer=dense_layer,
+                         is_training=is_training)
+        self.number_of_lstm_cells = number_of_lstm_cells