1 files changed, 0 insertions, 68 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
deleted file mode 100644
index fb72ab2d0..000000000
--- 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
+++ /dev/null
@@ -1,68 +0,0 @@
-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
-