From b87e6732fd21d88de380d4702cf7feea26a4a308 Mon Sep 17 00:00:00 2001 From: duyifan Date: Tue, 23 Dec 2025 16:52:33 +0800 Subject: [PATCH] fix pred_visualization --- .../pred_visualization.ipynb | 93 +++++++++++++------ src/basicts/runners/basicts_runner.py | 9 ++ 2 files changed, 74 insertions(+), 28 deletions(-) diff --git a/scripts/data_visualization/pred_visualization.ipynb b/scripts/data_visualization/pred_visualization.ipynb index 6fe71460..8c979bd9 100644 --- a/scripts/data_visualization/pred_visualization.ipynb +++ b/scripts/data_visualization/pred_visualization.ipynb @@ -2,14 +2,14 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Changing directory to /home/S22/workspace/BasicTS\n" + "Changing directory to /Users/chitanda/code\n" ] } ], @@ -23,7 +23,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -35,56 +35,93 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# hyperparameters\n", - "test_results_path = \"checkpoints/STID/PEMS08_100_336_336/97d131cadc14bd2b9ffa892d59d55129/test_results.npz\"" + "# inputs path\n", + "test_inputs_path = \"checkpoints/STID/ETTh1_50_96_24/6242f72b8079b1aef2a07f07ac99761b/test_results/inputs.npy\"\n", + "# predictions path\n", + "test_predictions_path = \"checkpoints/STID/ETTh1_50_96_24/6242f72b8079b1aef2a07f07ac99761b/test_results/prediction.npy\"\n", + "# targets path\n", + "test_targets_path = \"checkpoints/STID/ETTh1_50_96_24/6242f72b8079b1aef2a07f07ac99761b/test_results/targets.npy\"\n", + "# data info path\n", + "test_data_info_path = \"checkpoints/STID/ETTh1_50_96_24/6242f72b8079b1aef2a07f07ac99761b/test_results/data_info.json\"\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'checkpoints/STID/ETTh1_50_96_24/6242f72b8079b1aef2a07f07ac99761b/test_results/data_info.json'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mFileNotFoundError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[33]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# load data info\u001b[39;00m\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mjson\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtest_data_info_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mr\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[32m 4\u001b[39m data_info = json.load(f)\n\u001b[32m 5\u001b[39m \u001b[38;5;28mprint\u001b[39m(data_info)\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/code/github-duyifanict/BasicTS/.venv/lib/python3.11/site-packages/IPython/core/interactiveshell.py:343\u001b[39m, in \u001b[36m_modified_open\u001b[39m\u001b[34m(file, *args, **kwargs)\u001b[39m\n\u001b[32m 336\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[32m0\u001b[39m, \u001b[32m1\u001b[39m, \u001b[32m2\u001b[39m}:\n\u001b[32m 337\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 338\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mIPython won\u001b[39m\u001b[33m'\u001b[39m\u001b[33mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m by default \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 339\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 340\u001b[39m \u001b[33m\"\u001b[39m\u001b[33myou can use builtins\u001b[39m\u001b[33m'\u001b[39m\u001b[33m open.\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 341\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m343\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[31mFileNotFoundError\u001b[39m: [Errno 2] No such file or directory: 'checkpoints/STID/ETTh1_50_96_24/6242f72b8079b1aef2a07f07ac99761b/test_results/data_info.json'" + ] + } + ], "source": [ - "# load test_results.npz\n", - "test_results = np.load(test_results_path)\n", - "print(test_results.files)" + "# load data info\n", + "import json\n", + "with open(test_data_info_path, \"r\") as f:\n", + " data_info = json.load(f)\n", + "print(data_info)\n", + "\n", + "# load test_inputs.npy\n", + "inputs = np.memmap(test_inputs_path, dtype=data_info[\"inputs\"][\"dtype\"], mode=\"r\", shape=tuple(data_info[\"inputs\"][\"shape\"]))\n", + "# load test_predictions.npy\n", + "predictions = np.memmap(test_predictions_path, dtype=data_info[\"prediction\"][\"dtype\"], mode=\"r\", shape=tuple(data_info[\"prediction\"][\"shape\"]))\n", + "# load test_targets.npy\n", + "targets = np.memmap(test_targets_path, dtype=data_info[\"targets\"][\"dtype\"], mode=\"r\", shape=tuple(data_info[\"targets\"][\"shape\"]))\n" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(25, 96, 7)\n", + "(25, 24, 7)\n", + "(25, 24, 7)\n" + ] + } + ], "source": [ - "prediction = test_results['prediction'] # B, L, N, C\n", - "target = test_results['target'] # B, L, N, C\n", - "inputs = test_results['inputs'] # B, L, N, C" + "print(inputs.shape)\n", + "print(predictions.shape)\n", + "print(targets.shape)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# select random sample\n", - "sample_id = random.randint(0, prediction.shape[0])\n", - "time_series_id = random.randint(0, prediction.shape[2]-1)\n", - "channel_id = random.randint(0, prediction.shape[3]-1)" + "sample_id = random.randint(0, predictions.shape[0])\n", + "channel_id = random.randint(0, predictions.shape[2]-1)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -96,11 +133,11 @@ "source": [ "# plot history, targets, and predictions\n", "plt.figure(figsize=(10, 5))\n", - "plt.plot(np.arange(inputs.shape[1]), inputs[sample_id, :, time_series_id, channel_id], label='history')\n", - "plt.plot(np.arange(inputs.shape[1], inputs.shape[1]+target.shape[1]), target[sample_id, :, time_series_id, channel_id], label='target')\n", - "plt.plot(np.arange(inputs.shape[1], inputs.shape[1]+prediction.shape[1]), prediction[sample_id, :, time_series_id, channel_id], label='prediction')\n", + "plt.plot(np.arange(inputs.shape[1]), inputs[sample_id, :, channel_id], label='history')\n", + "plt.plot(np.arange(inputs.shape[1], inputs.shape[1]+targets.shape[1]), targets[sample_id, :, channel_id], label='target')\n", + "plt.plot(np.arange(inputs.shape[1], inputs.shape[1]+predictions.shape[1]), predictions[sample_id, :, channel_id], label='prediction')\n", "plt.legend()\n", - "plt.show()\n" + "plt.show()" ] }, { @@ -113,7 +150,7 @@ ], "metadata": { "kernelspec": { - "display_name": "BasicTS", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -127,7 +164,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.12" }, "orig_nbformat": 4 }, diff --git a/src/basicts/runners/basicts_runner.py b/src/basicts/runners/basicts_runner.py index dd473e3a..612f9ac2 100644 --- a/src/basicts/runners/basicts_runner.py +++ b/src/basicts/runners/basicts_runner.py @@ -1079,6 +1079,7 @@ def _save_results(self, batch_idx: int, batch_data: Dict[str, torch.Tensor]) -> inputs_path = os.path.join(save_dir, "inputs.npy") pred_path = os.path.join(save_dir, "prediction.npy") targets_path = os.path.join(save_dir, "targets.npy") + info_path = os.path.join(save_dir, "data_info.json") # create memmap files if batch_idx == 0: @@ -1088,6 +1089,14 @@ def _save_results(self, batch_idx: int, batch_data: Dict[str, torch.Tensor]) -> shape=(total_samples, *prediction.shape[1:])) self._targets_memmap = np.memmap(targets_path, dtype=targets.dtype, mode="w+", shape=(total_samples, *targets.shape[1:])) + # save shape and dtype info + info = { + "inputs": {"shape": self._inputs_memmap.shape, "dtype": str(self._inputs_memmap.dtype)}, + "prediction": {"shape": self._prediction_memmap.shape, "dtype": str(self._prediction_memmap.dtype)}, + "targets": {"shape": self._targets_memmap.shape, "dtype": str(self._targets_memmap.dtype)}, + } + with open(info_path, "w") as f: + json.dump(info, f, indent=4) start = batch_idx * inputs.shape[0] end = start + inputs.shape[0]