From 5a78fc2e33c28968a69d033cb10d638f4f63fed1 Mon Sep 17 00:00:00 2001 From: aktersnurra Date: Sun, 5 Jul 2020 22:27:08 +0200 Subject: Working on getting experiment loop. --- src/notebooks/Untitled.ipynb | 177 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 177 insertions(+) create mode 100644 src/notebooks/Untitled.ipynb (limited to 'src/notebooks/Untitled.ipynb') diff --git a/src/notebooks/Untitled.ipynb b/src/notebooks/Untitled.ipynb new file mode 100644 index 0000000..1cb7acb --- /dev/null +++ b/src/notebooks/Untitled.ipynb @@ -0,0 +1,177 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "getattr(torch.optim.lr_scheduler, \"StepLR\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "loss = getattr(torch.nn, \"L1Loss\")()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "input = torch.randn(3, 5, requires_grad=True)\n", + "target = torch.randn(3, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "output = loss(input, target)\n", + "output.backward()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "output" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "s = 1.\n", + "if s is not None:\n", + " assert 0.0 < s < 1.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class A:\n", + " @property\n", + " def __name__(self):\n", + " return \"adafa\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a = A()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a.__name__" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from training.gpu_manager import GPUManager" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "gpu_manager = GPUManager(True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2020-07-05 21:16:55.100 | DEBUG | training.gpu_manager:_get_free_gpu:55 - pid 29777 picking gpu 0\n", + "2020-07-05 21:16:55.704 | DEBUG | training.gpu_manager:_get_free_gpu:59 - pid 29777 could not get lock.\n", + "2020-07-05 21:16:55.705 | DEBUG | training.gpu_manager:get_free_gpu:37 - pid 29777 sleeping\n", + "2020-07-05 21:17:00.722 | DEBUG | training.gpu_manager:_get_free_gpu:55 - pid 29777 picking gpu 0\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gpu_manager.get_free_gpu()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} -- cgit v1.2.3-70-g09d2