From d81fefa352617f2912436d370ebbfb9158a39a94 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pawe=C5=82=20Sk=C3=B3rzewski?= Date: Fri, 27 Jan 2023 13:30:25 +0100 Subject: [PATCH] =?UTF-8?q?Wyk=C5=82ad=2013?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- wyk/13_CNN.ipynb | 108 +++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 94 insertions(+), 14 deletions(-) diff --git a/wyk/13_CNN.ipynb b/wyk/13_CNN.ipynb index dbabad9..e1fc3fa 100644 --- a/wyk/13_CNN.ipynb +++ b/wyk/13_CNN.ipynb @@ -283,7 +283,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 2, "metadata": { "slideshow": { "slide_type": "notes" @@ -303,13 +303,27 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 3, "metadata": { "slideshow": { "slide_type": "notes" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-01-27 12:50:47.601029: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", + "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-01-27 12:50:48.662241: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n", + "2023-01-27 12:50:48.662268: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n", + "2023-01-27 12:50:51.653864: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n", + "2023-01-27 12:50:51.654326: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n", + "2023-01-27 12:50:51.654341: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n" + ] + } + ], "source": [ "import keras\n", "from keras.datasets import mnist\n", @@ -324,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 4, "metadata": { "slideshow": { "slide_type": "notes" @@ -345,7 +359,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 5, "metadata": { "slideshow": { "slide_type": "fragment" @@ -354,9 +368,9 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ - "" + "
" ] }, "metadata": {}, @@ -376,7 +390,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 6, "metadata": { "slideshow": { "slide_type": "subslide" @@ -394,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 7, "metadata": { "slideshow": { "slide_type": "notes" @@ -414,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 8, "metadata": { "slideshow": { "slide_type": "subslide" @@ -447,13 +461,25 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 10, "metadata": { "slideshow": { "slide_type": "subslide" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-01-27 12:51:13.294000: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n", + "2023-01-27 12:51:13.295301: W tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:265] failed call to cuInit: UNKNOWN ERROR (303)\n", + "2023-01-27 12:51:13.295539: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ELLIOT): /proc/driver/nvidia/version does not exist\n", + "2023-01-27 12:51:13.298310: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", + "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" + ] + } + ], "source": [ "model = Sequential()\n", "model.add(Conv2D(32, kernel_size=(3, 3),\n", @@ -470,13 +496,67 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " conv2d (Conv2D) (None, 26, 26, 32) 320 \n", + " \n", + " conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", + " \n", + " max_pooling2d (MaxPooling2D (None, 12, 12, 64) 0 \n", + " ) \n", + " \n", + " dropout (Dropout) (None, 12, 12, 64) 0 \n", + " \n", + " flatten (Flatten) (None, 9216) 0 \n", + " \n", + " dense (Dense) (None, 128) 1179776 \n", + " \n", + " dropout_1 (Dropout) (None, 128) 0 \n", + " \n", + " dense_1 (Dense) (None, 10) 1290 \n", + " \n", + "=================================================================\n", + "Total params: 1,199,882\n", + "Trainable params: 1,199,882\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 1, "metadata": { "slideshow": { "slide_type": "subslide" } }, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'model' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn [1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m model\u001b[38;5;241m.\u001b[39mcompile(loss\u001b[38;5;241m=\u001b[39mkeras\u001b[38;5;241m.\u001b[39mlosses\u001b[38;5;241m.\u001b[39mcategorical_crossentropy,\n\u001b[1;32m 2\u001b[0m optimizer\u001b[38;5;241m=\u001b[39mkeras\u001b[38;5;241m.\u001b[39moptimizers\u001b[38;5;241m.\u001b[39mAdadelta(),\n\u001b[1;32m 3\u001b[0m metrics\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maccuracy\u001b[39m\u001b[38;5;124m'\u001b[39m])\n", + "\u001b[0;31mNameError\u001b[0m: name 'model' is not defined" + ] + } + ], "source": [ "model.compile(loss=keras.losses.categorical_crossentropy,\n", " optimizer=keras.optimizers.Adadelta(),\n",