1 files changed, 68 insertions, 0 deletions
diff --git a/meta-xilinx/meta-xilinx-pynq/recipes-support/pynq-ultra96-bnn/pynq-ultra96-bnn/0001-Update-default-notebooks-path-from-home-xilinx-to-us.patch b/meta-xilinx/meta-xilinx-pynq/recipes-support/pynq-ultra96-bnn/pynq-ultra96-bnn/0001-Update-default-notebooks-path-from-home-xilinx-to-us.patch
new file mode 100644
index 000000000..fb72ab2d0
--- /dev/null
+++ b/meta-xilinx/meta-xilinx-pynq/recipes-support/pynq-ultra96-bnn/pynq-ultra96-bnn/0001-Update-default-notebooks-path-from-home-xilinx-to-us.patch
@@ -0,0 +1,68 @@
+From 03b7eccd5c238832191c57c9bcb4bc3a4e69f454 Mon Sep 17 00:00:00 2001
+From: Sai Hari Chandana Kalluri <chandana.kalluri@xilinx.com>
+Date: Sun, 22 Sep 2019 12:55:00 -0700
+Subject: [PATCH] Update default notebooks path from /home/xilinx/ to
+ /usr/share
+
+---
+ notebooks/LFC-QNN_MNIST.ipynb | 14 +++++++-------
+ 1 file changed, 7 insertions(+), 7 deletions(-)
+
+diff --git a/notebooks/LFC-QNN_MNIST.ipynb b/notebooks/LFC-QNN_MNIST.ipynb
+index fa2b972..752c154 100755
+--- a/notebooks/LFC-QNN_MNIST.ipynb
++++ b/notebooks/LFC-QNN_MNIST.ipynb
+@@ -77,7 +77,7 @@
+     "\n",
+     "#read labels\n",
+     "labels = []\n",
+-    "with open(\"/home/xilinx/jupyter_notebooks/bnn/t10k-labels-idx1-ubyte\",\"rb\") as lbl_file:\n",
++    "with open(\"/usr/share/notebooks/bnn_examples/t10k-labels-idx1-ubyte\",\"rb\") as lbl_file:\n",
+     "    #read magic number and number of labels (MSB first) -> MNIST header\n",
+     "    magicNum = int.from_bytes(lbl_file.read(4), byteorder=\"big\")\n",
+     "    countLbl = int.from_bytes(lbl_file.read(4), byteorder=\"big\")\n",
+@@ -143,7 +143,7 @@
+     }
+    ],
+    "source": [
+-    "result_W1A1 = lfcW1A1_classifier.classify_mnists(\"/home/xilinx/jupyter_notebooks/bnn/t10k-images-idx3-ubyte\")"
++    "result_W1A1 = lfcW1A1_classifier.classify_mnists(\"/usr/share/notebooks/bnn_examples/t10k-images-idx3-ubyte\")"
+    ]
+   },
+   {
+@@ -178,7 +178,7 @@
+     }
+    ],
+    "source": [
+-    "result_W1A2 = lfcW1A2_classifier.classify_mnists(\"/home/xilinx/jupyter_notebooks/bnn/t10k-images-idx3-ubyte\")"
++    "result_W1A2 = lfcW1A2_classifier.classify_mnists(\"/usr/share/notebooks/bnn_examples/t10k-images-idx3-ubyte\")"
+    ]
+   },
+   {
+@@ -196,8 +196,8 @@
+    "metadata": {},
+    "outputs": [],
+    "source": [
+-    "with open(\"/home/xilinx/jupyter_notebooks/bnn/10_mnist_pictures\", \"wb\") as out_file:\n",
+-    "    with open(\"/home/xilinx/jupyter_notebooks/bnn/t10k-images-idx3-ubyte\",\"rb\") as img_file:\n",
++    "with open(\"/usr/share/notebooks/bnn_examples/10_mnist_pictures\", \"wb\") as out_file:\n",
++    "    with open(\"/usr/share/notebooks/bnn_examples/t10k-images-idx3-ubyte\",\"rb\") as img_file:\n",
+     "        #copy magic number\n",
+     "        out_file.write(img_file.read(4))\n",
+     "        #set number of images\n",
+@@ -241,10 +241,10 @@
+    "source": [
+     "print(\"SW Inference with W1A1:\")\n",
+     "sw_lfcW1A1_classifier = bnn.LfcClassifier(bnn.NETWORK_LFCW1A1,\"mnist\",bnn.RUNTIME_SW)\n",
+-    "sw_resultW1A1 = sw_lfcW1A1_classifier.classify_mnists(\"/home/xilinx/jupyter_notebooks/bnn/10_mnist_pictures\")\n",
++    "sw_resultW1A1 = sw_lfcW1A1_classifier.classify_mnists(\"/usr/share/notebooks/bnn_examples/10_mnist_pictures\")\n",
+     "print(\"\\nSW Inference with W1A2:\")\n",
+     "sw_lfcW1A2_classifier = bnn.LfcClassifier(bnn.NETWORK_LFCW1A2,\"mnist\",bnn.RUNTIME_SW)\n",
+-    "sw_resultW1A2 = sw_lfcW1A2_classifier.classify_mnists(\"/home/xilinx/jupyter_notebooks/bnn/10_mnist_pictures\")"
++    "sw_resultW1A2 = sw_lfcW1A2_classifier.classify_mnists(\"/usr/share/notebooks/bnn_examples/10_mnist_pictures\")"
+    ]
+   },
+   {
+-- 
+2.7.4
+