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

Part of #28

rl_coach/architectures/embedder_parameters.py

@@ -0,0 +1,41 @@
+#
+# 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, Union
+
+from rl_coach.base_parameters import EmbedderScheme, NetworkComponentParameters
+
+
+class InputEmbedderParameters(NetworkComponentParameters):
+    def __init__(self, activation_function: str='relu', scheme: Union[List, EmbedderScheme]=EmbedderScheme.Medium,
+                 batchnorm: bool=False, dropout=False, name: str='embedder', input_rescaling=None, input_offset=None,
+                 input_clipping=None, 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
+
+        if input_rescaling is None:
+            input_rescaling = {'image': 255.0, 'vector': 1.0}
+        if input_offset is None:
+            input_offset = {'image': 0.0, 'vector': 0.0}
+
+        self.input_rescaling = input_rescaling
+        self.input_offset = input_offset
+        self.input_clipping = input_clipping
+        self.name = name
+        self.is_training = is_training