Cleanup example configs

Author: vloncar

config-files/garnet_1layer_config.yml

@@ -1,11 +1,12 @@
-KerasJson: garnet_1layer.json
-KerasH5:   garnet_1layer_weights.h5
+KerasJson: keras/garnet_1layer.json
+KerasH5:   keras/garnet_1layer_weights.h5
+Backend: Vivado
 OutputDir: garnet_1layer
 ProjectName: myproject
-XilinxPart: xcku115-flvb2104-2-i
+Part: xcvu9p-flga2577-2-e
 ClockPeriod: 5
 
-IOType: io_parallel # options: io_serial/io_parallel
+IOType: io_parallel
 
 HLSConfig:
   Model:
@@ -33,4 +34,3 @@ HLSConfig:
      regression_linear:
        Precision:
          result: ap_fixed<16, 6, AP_RND, AP_SAT>
-  Optimizers: ['eliminate_linear_activation']

config-files/garnet_3layer_config.yml

@@ -1,11 +1,12 @@
-KerasJson: garnet_3layer.json
-KerasH5:   garnet_3layer_weights.h5
+KerasJson: keras/garnet_3layer.json
+KerasH5:   keras/garnet_3layer_weights.h5
+Backend: Vivado
 OutputDir: garnet_3layer
 ProjectName: myproject
-XilinxPart: xcku115-flvb2104-2-i
+Part: xcvu9p-flga2577-2-e
 ClockPeriod: 5
 
-IOType: io_parallel # options: io_serial/io_parallel
+IOType: io_parallel
 
 HLSConfig:
   Model:
@@ -34,4 +35,3 @@ HLSConfig:
      regression_linear:
        Precision:
         result: ap_fixed<16, 6, AP_RND, AP_SAT>
-  Optimizers: ['eliminate_linear_activation']

config-files/qkeras_3layer_config.yml

@@ -1,6 +1,18 @@
+KerasJson: keras/qkeras_3layer.json
+KerasH5:   keras/qkeras_3layer_weights.h5
 Backend: Vivado
+OutputDir: qkeras_3layer
+ProjectName: myproject
+Part: xcvu9p-flga2577-2-e
 ClockPeriod: 5
+
+IOType: io_parallel
+
 HLSConfig:
+  Model:
+    Precision: ap_fixed<16,6>
+    ReuseFactor: 1
+    Strategy: Latency
   LayerName:
     fc1:
       Precision:
@@ -52,13 +64,3 @@ HLSConfig:
       exp_table_t: ap_fixed<18,8>
       inv_table_t: ap_fixed<18,4>
       table_size: 1024
-  Model:
-    Precision: ap_fixed<16,6>
-    ReuseFactor: 1
-    Strategy: Latency
-IOType: io_parallel
-KerasH5: keras/qkeras_3layer_weights.h5
-KerasJson: keras/qkeras_3layer.json
-OutputDir: my-hls-test
-ProjectName: myproject
-XilinxPart: xcku115-flvb2104-2-i

config-files/qkeras_mnist_cnn_config.yml

@@ -1,6 +1,18 @@
+KerasJson: keras/qkeras_mnist_cnn.json
+KerasH5:   keras/qkeras_mnist_cnn_weights.h5
 Backend: Vivado
+OutputDir: qkeras_mnist_cnn
+ProjectName: myproject
+Part: xcvu9p-flga2577-2-e
 ClockPeriod: 5
+
+IOType: io_stream
+
 HLSConfig:
+  Model:
+    Precision: ap_fixed<16,6>
+    ReuseFactor: 16
+    Strategy: Latency
   LayerName:
     input_1:
       Precision:
@@ -47,13 +59,3 @@ HLSConfig:
       exp_table_t: ap_fixed<18,12,AP_RND,AP_SAT>
       inv_table_t: ap_fixed<18,4,AP_RND,AP_SAT>
       table_size: 1024
-  Model:
-    Precision: ap_fixed<16,6>
-    ReuseFactor: 16
-    Strategy: Latency
-IOType: io_stream
-KerasH5: keras/qkeras_mnist_cnn_weights.h5
-KerasJson: keras/qkeras_mnist_cnn.json
-OutputDir: my-hls-test
-ProjectName: myproject
-XilinxPart: xcku115-flvb2104-2-i

config-files/qkeras_mnist_dense_config.yml

@@ -1,45 +1,46 @@
-KerasJson: qkeras_mnist_dense.json
-KerasH5:   qkeras_mnist_dense_weights.h5
+KerasJson: keras/qkeras_mnist_dense.json
+KerasH5:   keras/qkeras_mnist_dense_weights.h5
+Backend: Vivado
 OutputDir: qkeras_mnist_dense
 ProjectName: myproject
-XilinxPart: xcku115-flvb2104-2-i
+Part: xcvu9p-flga2577-2-e
 ClockPeriod: 5
 
-IOType: io_parallel # options: io_serial/io_parallel
+IOType: io_parallel
 
 HLSConfig:
-    Model:
+  Model:
+    Precision: ap_fixed<16,6>
+    ReuseFactor: 1
+    Strategy: Resource
+  LayerName:
+    activation_3:
       Precision: ap_fixed<16,6>
       ReuseFactor: 1
-      Strategy: Resource
-    LayerName:
-      activation_3:
-        Precision: ap_fixed<16,6>
-        ReuseFactor: 1
-        Strategy: Stable
-        exp_table_t: ap_fixed<18,8,AP_RND,AP_SAT>
-        inv_table_t: ap_fixed<18,8,AP_RND,AP_SAT>
-        table_size: 1024
-      input_3:
-        Precision:
-          result: ap_fixed<16,6>
-      q_activation_2:
-        Precision:
-          result: ap_fixed<3,1>
-        ReuseFactor: 1
-      q_activation_3:
-        Precision:
-          result: ap_fixed<4,2>
-        ReuseFactor: 1
-      q_dense_2:
-        Precision:
-          bias: ap_fixed<3,1>
-          weight: ap_int<5>
-        ReuseFactor: 112
-      q_dense_3:
-        Precision:
-          bias: ap_fixed<5,1>
-          weight: ap_fixed<5,1>
-        ReuseFactor: 1
-        Strategy: Latency
+      Strategy: Stable
+      exp_table_t: ap_fixed<18,8,AP_RND,AP_SAT>
+      inv_table_t: ap_fixed<18,8,AP_RND,AP_SAT>
+      table_size: 1024
+    input_3:
+      Precision:
+        result: ap_fixed<16,6>
+    q_activation_2:
+      Precision:
+        result: ap_fixed<3,1>
+      ReuseFactor: 1
+    q_activation_3:
+      Precision:
+        result: ap_fixed<4,2>
+      ReuseFactor: 1
+    q_dense_2:
+      Precision:
+        bias: ap_fixed<3,1>
+        weight: ap_int<5>
+      ReuseFactor: 112
+    q_dense_3:
+      Precision:
+        bias: ap_fixed<5,1>
+        weight: ap_fixed<5,1>
+      ReuseFactor: 1
+      Strategy: Latency