{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "1f6fdebf-69c5-46ab-a5a8-f9c91f000ff3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2022-10-24 17:18:42.868504: W tensorflow/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", "2022-10-24 17:18:42.868519: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n" ] } ], "source": [ "import sys\n", "\n", "import tensorflow as tf\n", "\n", "from lib.dataset.dataset_segmenter import dataset_predict" ] }, { "cell_type": "code", "execution_count": 2, "id": "4a6a94dd-5c4e-4481-bfae-eb5ccf6214db", "metadata": {}, "outputs": [], "source": [ "dirpath=\"/home/bryan-smithl/Documents/repos/PhD-Rainfall-Radar/aimodel/output/rainfallwater_records_embed_2022-10-06_contrast_embed_umap_d512e19_tfrecord\"" ] }, { "cell_type": "code", "execution_count": 3, "id": "d1aa931a-ecf2-4134-8e70-87db4ae60736", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DEBUG:dataset ITEM rainfall:shape (512,) water:shape (94, 94, 1)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2022-10-24 17:18:44.582661: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-10-24 17:18:44.583031: W tensorflow/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", "2022-10-24 17:18:44.583152: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583257: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583353: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583438: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcurand.so.10'; dlerror: libcurand.so.10: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583519: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583598: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583675: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory\n", "2022-10-24 17:18:44.583688: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n", "Skipping registering GPU devices...\n", "2022-10-24 17:18:44.584534: 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": [ "dataset = dataset_predict(\n", "\tdirpath_input=dirpath,\n", "\twater_threshold=0.1,\n", "\tshape_water_desired=[94, 94],\n", "\tparallel_reads_multiplier=1.5 # Mangles the ordering. For counting things this doesn't matter\n", ").batch(64)" ] }, { "cell_type": "code", "execution_count": 4, "id": "456f7c8f-3f7d-4a2c-b361-900588c49612", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Processed 23100 batches\r" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Complete. Counts:\n", "0: 10238285719\n", "1: 2854828393\n" ] } ], "source": [ "i = 0\n", "counts = tf.constant([0, 0], dtype=tf.int64)\n", "for (items, label) in dataset:\n", "\tstep_counts = tf.math.bincount(tf.reshape(label, [-1]))\n", "\tcounts += tf.cast(step_counts, dtype=tf.int64)\n", "\t# print(\"STEP counts\", counts, \"step_counts\", step_counts)\n", "\ti += 1\n", "\tif i % 100 == 0:\n", "\t\tsys.stderr.write(f\"Processed {i} batches\\r\")\n", "print(\"\\nComplete. Counts:\\n\"+\"\\n\".join([ str(i)+\": \"+str(count) for i,count in enumerate(counts.numpy().tolist()) ]))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.6 64-bit", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" }, "vscode": { "interpreter": { "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" } } }, "nbformat": 4, "nbformat_minor": 5 }