From 657ec60d21a4766bf08c8cc461cd0fa5ee5456a5 Mon Sep 17 00:00:00 2001
From: Yaman Umuroglu <maltanar@gmail.com>
Date: Mon, 3 May 2021 23:23:16 +0100
Subject: [PATCH] [Vitis] slightly improved VitisBuild enable_link comment

---
 src/finn/transformation/fpgadataflow/vitis_build.py | 13 +++++--------
 1 file changed, 5 insertions(+), 8 deletions(-)

diff --git a/src/finn/transformation/fpgadataflow/vitis_build.py b/src/finn/transformation/fpgadataflow/vitis_build.py
index 2260b73ef..c70ff88ba 100644
--- a/src/finn/transformation/fpgadataflow/vitis_build.py
+++ b/src/finn/transformation/fpgadataflow/vitis_build.py
@@ -116,7 +116,7 @@ class CreateVitisXO(Transformation):
                 )
                 arg_id += 1
                 args_string.append(
-                    "{numReps:0:%s:%s:0x4:0x1C:uint:0}" 
+                    "{numReps:0:%s:%s:0x4:0x1C:uint:0}"
                     % (str(arg_id), axilite_intf_name)
                 )
                 arg_id += 1
@@ -340,8 +340,8 @@ class VitisBuild(Transformation):
     floorplan_file: path to a JSON containing a dictionary with SLR assignments
                     for each node in the ONNX graph. Must be parse-able by
                     the ApplyConfig transform.
-    enable_link: enable linking .xo files
-
+    enable_link: enable linking kernels (.xo files), otherwise just synthesize
+                    them independently.
     """
 
     def __init__(
@@ -368,10 +368,7 @@ class VitisBuild(Transformation):
         # first infer layouts
         model = model.transform(InferDataLayouts())
         # prepare at global level, then break up into kernels
-        prep_transforms = [
-            InsertIODMA(512),
-            InsertDWC(),
-        ]
+        prep_transforms = [InsertIODMA(512), InsertDWC()]
         for trn in prep_transforms:
             model = model.transform(trn)
             model = model.transform(GiveUniqueNodeNames())
@@ -420,6 +417,6 @@ class VitisBuild(Transformation):
         # set platform attribute for correct remote execution
         model.set_metadata_prop("platform", "alveo")
 
-        #create driver
+        # create driver
         model = model.transform(MakePYNQDriver(platform="alveo"))
         return (model, False)
-- 
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