remove test_mul_value_layer.protostr and test_mul_value_layer.py

python/paddle/trainer_config_helpers/tests/configs/protostr/test_mul_value_layer.protostr

-type: "nn"
-layers {
-  name: "data"
-  type: "data"
-  size: 2016
-  active_type: ""
-  height: 48
-  width: 42
-}
-layers {
-  name: "indices"
-  type: "data"
-  size: 6
-  active_type: ""
-}
-layers {
-  name: "__mul_value_0__"
-  type: "mul_value"
-  active_type: ""
-  inputs {
-    input_layer_name: "data"
-    mul_value_conf {
-      image_conf {
-        channels: 1
-        img_size: 42
-        img_size_y: 48
-      }
-      value: 0.0
-    }
-  }
-  inputs {
-    input_layer_name: "indices"
-  }
-}
-input_layer_names: "data"
-input_layer_names: "indices"
-output_layer_names: "__mul_value_0__"
-sub_models {
-  name: "root"
-  layer_names: "data"
-  layer_names: "indices"
-  layer_names: "__mul_value_0__"
-  input_layer_names: "data"
-  input_layer_names: "indices"
-  output_layer_names: "__mul_value_0__"
-  is_recurrent_layer_group: false
-}
-

python/paddle/trainer_config_helpers/tests/configs/test_mul_value_layer.py

-from paddle.trainer_config_helpers import *
-
-settings(batch_size=1000, learning_rate=1e-5)
-
-data = data_layer(name='data', size=2016, height=48, width=42)
-indices = data_layer(name='indices', size=6)
-
-mul_value = mul_value_layer(input=data, indices=indices, value=0.0)
-
-outputs(mul_value)