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Author: gangliao

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

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+type: "nn"
+layers {
+  name: "data"
+  type: "data"
+  size: 2304
+  active_type: ""
+}
+layers {
+  name: "__conv_0__"
+  type: "exconv"
+  size: 36864
+  active_type: ""
+  inputs {
+    input_layer_name: "data"
+    input_parameter_name: "___conv_0__.w0"
+    conv_conf {
+      filter_size: 3
+      channels: 1
+      stride: 1
+      padding: 1
+      groups: 1
+      filter_channels: 1
+      output_x: 48
+      img_size: 48
+      caffe_mode: true
+      filter_size_y: 3
+      padding_y: 1
+      stride_y: 1
+    }
+  }
+  bias_parameter_name: "___conv_0__.wbias"
+  num_filters: 16
+  shared_biases: true
+}
+layers {
+  name: "__bilinear_interp_layer_0__"
+  type: "bilinear_interp"
+  size: 65536
+  active_type: ""
+  inputs {
+    input_layer_name: "__conv_0__"
+    bilinear_interp_conf {
+      out_size_x: 64
+      out_size_y: 64
+      num_channels: 16
+    }
+  }
+}
+layers {
+  name: "__pool_0__"
+  type: "pool"
+  size: 16384
+  active_type: ""
+  inputs {
+    input_layer_name: "__bilinear_interp_layer_0__"
+    pool_conf {
+      pool_type: "max-projection"
+      channels: 4
+      size_x: 2
+      stride: 2
+      output_x: 64
+      img_size: 128
+      padding: 0
+      size_y: 2
+      stride_y: 2
+      output_y: 64
+      img_size_y: 128
+      padding_y: 0
+    }
+  }
+}
+layers {
+  name: "__fc_layer_0__"
+  type: "fc"
+  size: 384
+  active_type: "tanh"
+  inputs {
+    input_layer_name: "__pool_0__"
+    input_parameter_name: "___fc_layer_0__.w0"
+  }
+}
+parameters {
+  name: "___conv_0__.w0"
+  size: 144
+  initial_mean: 0.0
+  initial_std: 0.471404522657
+  initial_strategy: 0
+  initial_smart: false
+}
+parameters {
+  name: "___conv_0__.wbias"
+  size: 16
+  initial_mean: 0.0
+  initial_std: 0.0
+  dims: 16
+  dims: 1
+  initial_strategy: 0
+  initial_smart: false
+}
+parameters {
+  name: "___fc_layer_0__.w0"
+  size: 6291456
+  initial_mean: 0.0
+  initial_std: 0.0078125
+  dims: 16384
+  dims: 384
+  initial_strategy: 0
+  initial_smart: true
+}
+input_layer_names: "data"
+output_layer_names: "__fc_layer_0__"
+sub_models {
+  name: "root"
+  layer_names: "data"
+  layer_names: "__conv_0__"
+  layer_names: "__bilinear_interp_layer_0__"
+  layer_names: "__pool_0__"
+  layer_names: "__fc_layer_0__"
+  input_layer_names: "data"
+  output_layer_names: "__fc_layer_0__"
+  is_recurrent_layer_group: false
+}
+