0524-1428
Browse files- diffusion.ipynb +26 -2588
- load_h5.py +5 -2
- quantify_results.ipynb +0 -0
diffusion.ipynb
CHANGED
|
@@ -23,7 +23,8 @@
|
|
| 23 |
"- 生成的21cm圖像該暗的地方不夠暗，似乎換成MNIST的數字圖像就沒問題\n",
|
| 24 |
"- 我用diffusion模型生成MNIST的數字時發現，儘管生成的數據的範圍也存在負數數值，如-0.1,但畫出來的圖像卻是理想的黑色。數據的分佈與21cm的結果的分佈沒多大差別，我現在打算把代碼退回到21cm的情形\n",
|
| 25 |
"- 我統一了ddpm21cm這個module，能統一實現訓練和生成樣本，但目前有個bug， sample時總是會cuda out of memory，然而單獨resume model並sample就不會。\n",
|
| 26 |
-
"- 解決了，問題出在我忘了寫with torch.no_grad()
|
|
|
|
| 27 |
]
|
| 28 |
},
|
| 29 |
{
|
|
@@ -245,14 +246,14 @@
|
|
| 245 |
" dim = 2\n",
|
| 246 |
" stride = (2,2) if dim == 2 else (2,2,4)\n",
|
| 247 |
" num_image = 2560\n",
|
|
|
|
|
|
|
| 248 |
" HII_DIM = 64\n",
|
| 249 |
" num_redshift = 512#256#256#64#512#128\n",
|
| 250 |
" channel = 1\n",
|
| 251 |
" img_shape = (channel, HII_DIM, num_redshift) if dim == 2 else (channel, HII_DIM, HII_DIM, num_redshift)\n",
|
| 252 |
"\n",
|
| 253 |
-
" n_epoch = 15#2#5#25 # 120\n",
|
| 254 |
" num_timesteps = 1000#1000 # 1000, 500; DDPM time steps\n",
|
| 255 |
-
" batch_size = 10#20#2#100 # 10\n",
|
| 256 |
" # n_sample = 24 # 64, the number of samples in sampling process\n",
|
| 257 |
" n_param = 2\n",
|
| 258 |
" guide_w = 0#-1#0#-1#0.1#[0,0.1] #[0,0.5,2] strength of generative guidance\n",
|
|
@@ -499,7 +500,7 @@
|
|
| 499 |
{
|
| 500 |
"data": {
|
| 501 |
"application/vnd.jupyter.widget-view+json": {
|
| 502 |
-
"model_id": "
|
| 503 |
"version_major": 2,
|
| 504 |
"version_minor": 0
|
| 505 |
},
|
|
@@ -524,216 +525,9 @@
|
|
| 524 |
"name": "stdout",
|
| 525 |
"output_type": "stream",
|
| 526 |
"text": [
|
|
|
|
| 527 |
"Number of parameters for nn_model: 111048705\n",
|
| 528 |
-
"run_name =
|
| 529 |
-
"Launching training on one GPU.\n",
|
| 530 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 531 |
-
"51200 images can be loaded\n",
|
| 532 |
-
"field.shape = (64, 64, 514)\n",
|
| 533 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 534 |
-
"loading 2560 images randomly\n",
|
| 535 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 536 |
-
"params loaded: (2560, 2)\n"
|
| 537 |
-
]
|
| 538 |
-
},
|
| 539 |
-
{
|
| 540 |
-
"name": "stderr",
|
| 541 |
-
"output_type": "stream",
|
| 542 |
-
"text": [
|
| 543 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 544 |
-
]
|
| 545 |
-
},
|
| 546 |
-
{
|
| 547 |
-
"name": "stdout",
|
| 548 |
-
"output_type": "stream",
|
| 549 |
-
"text": [
|
| 550 |
-
"images rescaled to [-1.0, 1.1378462314605713]\n",
|
| 551 |
-
"params rescaled to [0.0, 0.9995994165819857]\n"
|
| 552 |
-
]
|
| 553 |
-
},
|
| 554 |
-
{
|
| 555 |
-
"data": {
|
| 556 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 557 |
-
"model_id": "4d787d2fbdcf4575b7b17a6e5161f5ec",
|
| 558 |
-
"version_major": 2,
|
| 559 |
-
"version_minor": 0
|
| 560 |
-
},
|
| 561 |
-
"text/plain": [
|
| 562 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 563 |
-
]
|
| 564 |
-
},
|
| 565 |
-
"metadata": {},
|
| 566 |
-
"output_type": "display_data"
|
| 567 |
-
},
|
| 568 |
-
{
|
| 569 |
-
"data": {
|
| 570 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 571 |
-
"model_id": "e67439e56e594ecfb3967edbfb3f0d60",
|
| 572 |
-
"version_major": 2,
|
| 573 |
-
"version_minor": 0
|
| 574 |
-
},
|
| 575 |
-
"text/plain": [
|
| 576 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 577 |
-
]
|
| 578 |
-
},
|
| 579 |
-
"metadata": {},
|
| 580 |
-
"output_type": "display_data"
|
| 581 |
-
},
|
| 582 |
-
{
|
| 583 |
-
"data": {
|
| 584 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 585 |
-
"model_id": "9ca7cb14960348fa8d83c90d773057ac",
|
| 586 |
-
"version_major": 2,
|
| 587 |
-
"version_minor": 0
|
| 588 |
-
},
|
| 589 |
-
"text/plain": [
|
| 590 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 591 |
-
]
|
| 592 |
-
},
|
| 593 |
-
"metadata": {},
|
| 594 |
-
"output_type": "display_data"
|
| 595 |
-
},
|
| 596 |
-
{
|
| 597 |
-
"data": {
|
| 598 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 599 |
-
"model_id": "a6368ae7b9fb4505b6b62d51c5d675ed",
|
| 600 |
-
"version_major": 2,
|
| 601 |
-
"version_minor": 0
|
| 602 |
-
},
|
| 603 |
-
"text/plain": [
|
| 604 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 605 |
-
]
|
| 606 |
-
},
|
| 607 |
-
"metadata": {},
|
| 608 |
-
"output_type": "display_data"
|
| 609 |
-
},
|
| 610 |
-
{
|
| 611 |
-
"data": {
|
| 612 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 613 |
-
"model_id": "d5a391c5bbfb4f6481c1f2ad6e754e24",
|
| 614 |
-
"version_major": 2,
|
| 615 |
-
"version_minor": 0
|
| 616 |
-
},
|
| 617 |
-
"text/plain": [
|
| 618 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 619 |
-
]
|
| 620 |
-
},
|
| 621 |
-
"metadata": {},
|
| 622 |
-
"output_type": "display_data"
|
| 623 |
-
},
|
| 624 |
-
{
|
| 625 |
-
"name": "stdout",
|
| 626 |
-
"output_type": "stream",
|
| 627 |
-
"text": [
|
| 628 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 629 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 630 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 631 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 632 |
-
"run_name = 0523-1718\n",
|
| 633 |
-
"Launching training on one GPU.\n",
|
| 634 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 635 |
-
"51200 images can be loaded\n",
|
| 636 |
-
"field.shape = (64, 64, 514)\n",
|
| 637 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 638 |
-
"loading 2560 images randomly\n",
|
| 639 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 640 |
-
"params loaded: (2560, 2)\n"
|
| 641 |
-
]
|
| 642 |
-
},
|
| 643 |
-
{
|
| 644 |
-
"name": "stderr",
|
| 645 |
-
"output_type": "stream",
|
| 646 |
-
"text": [
|
| 647 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 648 |
-
]
|
| 649 |
-
},
|
| 650 |
-
{
|
| 651 |
-
"name": "stdout",
|
| 652 |
-
"output_type": "stream",
|
| 653 |
-
"text": [
|
| 654 |
-
"images rescaled to [-1.0, 1.1661419868469238]\n",
|
| 655 |
-
"params rescaled to [0.0, 0.9999958400767995]\n"
|
| 656 |
-
]
|
| 657 |
-
},
|
| 658 |
-
{
|
| 659 |
-
"data": {
|
| 660 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 661 |
-
"model_id": "98b85b015d004ce5a109624a98b0f111",
|
| 662 |
-
"version_major": 2,
|
| 663 |
-
"version_minor": 0
|
| 664 |
-
},
|
| 665 |
-
"text/plain": [
|
| 666 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 667 |
-
]
|
| 668 |
-
},
|
| 669 |
-
"metadata": {},
|
| 670 |
-
"output_type": "display_data"
|
| 671 |
-
},
|
| 672 |
-
{
|
| 673 |
-
"data": {
|
| 674 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 675 |
-
"model_id": "8b506db80afd4a6d91879e1651905d60",
|
| 676 |
-
"version_major": 2,
|
| 677 |
-
"version_minor": 0
|
| 678 |
-
},
|
| 679 |
-
"text/plain": [
|
| 680 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 681 |
-
]
|
| 682 |
-
},
|
| 683 |
-
"metadata": {},
|
| 684 |
-
"output_type": "display_data"
|
| 685 |
-
},
|
| 686 |
-
{
|
| 687 |
-
"data": {
|
| 688 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 689 |
-
"model_id": "8b07237efae540329cc7d72fbd4e54be",
|
| 690 |
-
"version_major": 2,
|
| 691 |
-
"version_minor": 0
|
| 692 |
-
},
|
| 693 |
-
"text/plain": [
|
| 694 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 695 |
-
]
|
| 696 |
-
},
|
| 697 |
-
"metadata": {},
|
| 698 |
-
"output_type": "display_data"
|
| 699 |
-
},
|
| 700 |
-
{
|
| 701 |
-
"data": {
|
| 702 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 703 |
-
"model_id": "cfb92549dd984421aa4e2e59673d6435",
|
| 704 |
-
"version_major": 2,
|
| 705 |
-
"version_minor": 0
|
| 706 |
-
},
|
| 707 |
-
"text/plain": [
|
| 708 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 709 |
-
]
|
| 710 |
-
},
|
| 711 |
-
"metadata": {},
|
| 712 |
-
"output_type": "display_data"
|
| 713 |
-
},
|
| 714 |
-
{
|
| 715 |
-
"data": {
|
| 716 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 717 |
-
"model_id": "7db37ba320484ee7b4a13ffb876cf675",
|
| 718 |
-
"version_major": 2,
|
| 719 |
-
"version_minor": 0
|
| 720 |
-
},
|
| 721 |
-
"text/plain": [
|
| 722 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 723 |
-
]
|
| 724 |
-
},
|
| 725 |
-
"metadata": {},
|
| 726 |
-
"output_type": "display_data"
|
| 727 |
-
},
|
| 728 |
-
{
|
| 729 |
-
"name": "stdout",
|
| 730 |
-
"output_type": "stream",
|
| 731 |
-
"text": [
|
| 732 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 733 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 734 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 735 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 736 |
-
"run_name = 0523-1732\n",
|
| 737 |
"Launching training on one GPU.\n",
|
| 738 |
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 739 |
"51200 images can be loaded\n",
|
|
@@ -755,14 +549,14 @@
|
|
| 755 |
"name": "stdout",
|
| 756 |
"output_type": "stream",
|
| 757 |
"text": [
|
| 758 |
-
"images rescaled to [-1.0, 1.
|
| 759 |
-
"params rescaled to [0.0, 0.
|
| 760 |
]
|
| 761 |
},
|
| 762 |
{
|
| 763 |
"data": {
|
| 764 |
"application/vnd.jupyter.widget-view+json": {
|
| 765 |
-
"model_id": "
|
| 766 |
"version_major": 2,
|
| 767 |
"version_minor": 0
|
| 768 |
},
|
|
@@ -776,7 +570,7 @@
|
|
| 776 |
{
|
| 777 |
"data": {
|
| 778 |
"application/vnd.jupyter.widget-view+json": {
|
| 779 |
-
"model_id": "
|
| 780 |
"version_major": 2,
|
| 781 |
"version_minor": 0
|
| 782 |
},
|
|
@@ -790,7 +584,7 @@
|
|
| 790 |
{
|
| 791 |
"data": {
|
| 792 |
"application/vnd.jupyter.widget-view+json": {
|
| 793 |
-
"model_id": "
|
| 794 |
"version_major": 2,
|
| 795 |
"version_minor": 0
|
| 796 |
},
|
|
@@ -804,7 +598,7 @@
|
|
| 804 |
{
|
| 805 |
"data": {
|
| 806 |
"application/vnd.jupyter.widget-view+json": {
|
| 807 |
-
"model_id": "
|
| 808 |
"version_major": 2,
|
| 809 |
"version_minor": 0
|
| 810 |
},
|
|
@@ -818,7 +612,7 @@
|
|
| 818 |
{
|
| 819 |
"data": {
|
| 820 |
"application/vnd.jupyter.widget-view+json": {
|
| 821 |
-
"model_id": "
|
| 822 |
"version_major": 2,
|
| 823 |
"version_minor": 0
|
| 824 |
},
|
|
@@ -829,44 +623,10 @@
|
|
| 829 |
"metadata": {},
|
| 830 |
"output_type": "display_data"
|
| 831 |
},
|
| 832 |
-
{
|
| 833 |
-
"name": "stdout",
|
| 834 |
-
"output_type": "stream",
|
| 835 |
-
"text": [
|
| 836 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 837 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 838 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 839 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 840 |
-
"run_name = 0523-1745\n",
|
| 841 |
-
"Launching training on one GPU.\n",
|
| 842 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 843 |
-
"51200 images can be loaded\n",
|
| 844 |
-
"field.shape = (64, 64, 514)\n",
|
| 845 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 846 |
-
"loading 2560 images randomly\n",
|
| 847 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 848 |
-
"params loaded: (2560, 2)\n"
|
| 849 |
-
]
|
| 850 |
-
},
|
| 851 |
-
{
|
| 852 |
-
"name": "stderr",
|
| 853 |
-
"output_type": "stream",
|
| 854 |
-
"text": [
|
| 855 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 856 |
-
]
|
| 857 |
-
},
|
| 858 |
-
{
|
| 859 |
-
"name": "stdout",
|
| 860 |
-
"output_type": "stream",
|
| 861 |
-
"text": [
|
| 862 |
-
"images rescaled to [-1.0, 1.1458096504211426]\n",
|
| 863 |
-
"params rescaled to [0.0, 0.9998883049763877]\n"
|
| 864 |
-
]
|
| 865 |
-
},
|
| 866 |
{
|
| 867 |
"data": {
|
| 868 |
"application/vnd.jupyter.widget-view+json": {
|
| 869 |
-
"model_id": "
|
| 870 |
"version_major": 2,
|
| 871 |
"version_minor": 0
|
| 872 |
},
|
|
@@ -880,7 +640,7 @@
|
|
| 880 |
{
|
| 881 |
"data": {
|
| 882 |
"application/vnd.jupyter.widget-view+json": {
|
| 883 |
-
"model_id": "
|
| 884 |
"version_major": 2,
|
| 885 |
"version_minor": 0
|
| 886 |
},
|
|
@@ -894,7 +654,7 @@
|
|
| 894 |
{
|
| 895 |
"data": {
|
| 896 |
"application/vnd.jupyter.widget-view+json": {
|
| 897 |
-
"model_id": "
|
| 898 |
"version_major": 2,
|
| 899 |
"version_minor": 0
|
| 900 |
},
|
|
@@ -908,7 +668,7 @@
|
|
| 908 |
{
|
| 909 |
"data": {
|
| 910 |
"application/vnd.jupyter.widget-view+json": {
|
| 911 |
-
"model_id": "
|
| 912 |
"version_major": 2,
|
| 913 |
"version_minor": 0
|
| 914 |
},
|
|
@@ -922,7 +682,7 @@
|
|
| 922 |
{
|
| 923 |
"data": {
|
| 924 |
"application/vnd.jupyter.widget-view+json": {
|
| 925 |
-
"model_id": "
|
| 926 |
"version_major": 2,
|
| 927 |
"version_minor": 0
|
| 928 |
},
|
|
@@ -933,2332 +693,10 @@
|
|
| 933 |
"metadata": {},
|
| 934 |
"output_type": "display_data"
|
| 935 |
},
|
| 936 |
-
{
|
| 937 |
-
"name": "stdout",
|
| 938 |
-
"output_type": "stream",
|
| 939 |
-
"text": [
|
| 940 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 941 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 942 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 943 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 944 |
-
"run_name = 0523-1759\n",
|
| 945 |
-
"Launching training on one GPU.\n",
|
| 946 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 947 |
-
"51200 images can be loaded\n",
|
| 948 |
-
"field.shape = (64, 64, 514)\n",
|
| 949 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 950 |
-
"loading 2560 images randomly\n",
|
| 951 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 952 |
-
"params loaded: (2560, 2)\n"
|
| 953 |
-
]
|
| 954 |
-
},
|
| 955 |
-
{
|
| 956 |
-
"name": "stderr",
|
| 957 |
-
"output_type": "stream",
|
| 958 |
-
"text": [
|
| 959 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 960 |
-
]
|
| 961 |
-
},
|
| 962 |
-
{
|
| 963 |
-
"name": "stdout",
|
| 964 |
-
"output_type": "stream",
|
| 965 |
-
"text": [
|
| 966 |
-
"images rescaled to [-1.0, 1.1824936866760254]\n",
|
| 967 |
-
"params rescaled to [0.0, 0.9997530171043563]\n"
|
| 968 |
-
]
|
| 969 |
-
},
|
| 970 |
-
{
|
| 971 |
-
"data": {
|
| 972 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 973 |
-
"model_id": "d4aaa8723d4a42879fbc97540a15505a",
|
| 974 |
-
"version_major": 2,
|
| 975 |
-
"version_minor": 0
|
| 976 |
-
},
|
| 977 |
-
"text/plain": [
|
| 978 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 979 |
-
]
|
| 980 |
-
},
|
| 981 |
-
"metadata": {},
|
| 982 |
-
"output_type": "display_data"
|
| 983 |
-
},
|
| 984 |
-
{
|
| 985 |
-
"data": {
|
| 986 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 987 |
-
"model_id": "d740b2871d084e4fafe5ba6e36c2450e",
|
| 988 |
-
"version_major": 2,
|
| 989 |
-
"version_minor": 0
|
| 990 |
-
},
|
| 991 |
-
"text/plain": [
|
| 992 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 993 |
-
]
|
| 994 |
-
},
|
| 995 |
-
"metadata": {},
|
| 996 |
-
"output_type": "display_data"
|
| 997 |
-
},
|
| 998 |
-
{
|
| 999 |
-
"data": {
|
| 1000 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1001 |
-
"model_id": "2bd95909e4b146ebadfce3c73dc6538c",
|
| 1002 |
-
"version_major": 2,
|
| 1003 |
-
"version_minor": 0
|
| 1004 |
-
},
|
| 1005 |
-
"text/plain": [
|
| 1006 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1007 |
-
]
|
| 1008 |
-
},
|
| 1009 |
-
"metadata": {},
|
| 1010 |
-
"output_type": "display_data"
|
| 1011 |
-
},
|
| 1012 |
-
{
|
| 1013 |
-
"data": {
|
| 1014 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1015 |
-
"model_id": "a35c5568ad904c55a43dd23f02cddb2b",
|
| 1016 |
-
"version_major": 2,
|
| 1017 |
-
"version_minor": 0
|
| 1018 |
-
},
|
| 1019 |
-
"text/plain": [
|
| 1020 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1021 |
-
]
|
| 1022 |
-
},
|
| 1023 |
-
"metadata": {},
|
| 1024 |
-
"output_type": "display_data"
|
| 1025 |
-
},
|
| 1026 |
-
{
|
| 1027 |
-
"data": {
|
| 1028 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1029 |
-
"model_id": "105778eda4aa41b784e02663db0e701d",
|
| 1030 |
-
"version_major": 2,
|
| 1031 |
-
"version_minor": 0
|
| 1032 |
-
},
|
| 1033 |
-
"text/plain": [
|
| 1034 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1035 |
-
]
|
| 1036 |
-
},
|
| 1037 |
-
"metadata": {},
|
| 1038 |
-
"output_type": "display_data"
|
| 1039 |
-
},
|
| 1040 |
-
{
|
| 1041 |
-
"name": "stdout",
|
| 1042 |
-
"output_type": "stream",
|
| 1043 |
-
"text": [
|
| 1044 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1045 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1046 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1047 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1048 |
-
"run_name = 0523-1813\n",
|
| 1049 |
-
"Launching training on one GPU.\n",
|
| 1050 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1051 |
-
"51200 images can be loaded\n",
|
| 1052 |
-
"field.shape = (64, 64, 514)\n",
|
| 1053 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1054 |
-
"loading 2560 images randomly\n",
|
| 1055 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1056 |
-
"params loaded: (2560, 2)\n"
|
| 1057 |
-
]
|
| 1058 |
-
},
|
| 1059 |
-
{
|
| 1060 |
-
"name": "stderr",
|
| 1061 |
-
"output_type": "stream",
|
| 1062 |
-
"text": [
|
| 1063 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1064 |
-
]
|
| 1065 |
-
},
|
| 1066 |
-
{
|
| 1067 |
-
"name": "stdout",
|
| 1068 |
-
"output_type": "stream",
|
| 1069 |
-
"text": [
|
| 1070 |
-
"images rescaled to [-1.0, 1.1919512748718262]\n",
|
| 1071 |
-
"params rescaled to [0.0, 0.9996232858956116]\n"
|
| 1072 |
-
]
|
| 1073 |
-
},
|
| 1074 |
-
{
|
| 1075 |
-
"data": {
|
| 1076 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1077 |
-
"model_id": "dee3a4f9362e4da5a0f04c0cc61c65bf",
|
| 1078 |
-
"version_major": 2,
|
| 1079 |
-
"version_minor": 0
|
| 1080 |
-
},
|
| 1081 |
-
"text/plain": [
|
| 1082 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1083 |
-
]
|
| 1084 |
-
},
|
| 1085 |
-
"metadata": {},
|
| 1086 |
-
"output_type": "display_data"
|
| 1087 |
-
},
|
| 1088 |
-
{
|
| 1089 |
-
"data": {
|
| 1090 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1091 |
-
"model_id": "812bda5864a24e2a9a2e4e18a6388e7e",
|
| 1092 |
-
"version_major": 2,
|
| 1093 |
-
"version_minor": 0
|
| 1094 |
-
},
|
| 1095 |
-
"text/plain": [
|
| 1096 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1097 |
-
]
|
| 1098 |
-
},
|
| 1099 |
-
"metadata": {},
|
| 1100 |
-
"output_type": "display_data"
|
| 1101 |
-
},
|
| 1102 |
-
{
|
| 1103 |
-
"data": {
|
| 1104 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1105 |
-
"model_id": "9c09fef2ce624ebb9a3d3d20d9a767c8",
|
| 1106 |
-
"version_major": 2,
|
| 1107 |
-
"version_minor": 0
|
| 1108 |
-
},
|
| 1109 |
-
"text/plain": [
|
| 1110 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1111 |
-
]
|
| 1112 |
-
},
|
| 1113 |
-
"metadata": {},
|
| 1114 |
-
"output_type": "display_data"
|
| 1115 |
-
},
|
| 1116 |
-
{
|
| 1117 |
-
"data": {
|
| 1118 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1119 |
-
"model_id": "b5050cf36c1248928225986ddf080bdd",
|
| 1120 |
-
"version_major": 2,
|
| 1121 |
-
"version_minor": 0
|
| 1122 |
-
},
|
| 1123 |
-
"text/plain": [
|
| 1124 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1125 |
-
]
|
| 1126 |
-
},
|
| 1127 |
-
"metadata": {},
|
| 1128 |
-
"output_type": "display_data"
|
| 1129 |
-
},
|
| 1130 |
-
{
|
| 1131 |
-
"data": {
|
| 1132 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1133 |
-
"model_id": "6283b02afe644bd2af307f1961d434e8",
|
| 1134 |
-
"version_major": 2,
|
| 1135 |
-
"version_minor": 0
|
| 1136 |
-
},
|
| 1137 |
-
"text/plain": [
|
| 1138 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1139 |
-
]
|
| 1140 |
-
},
|
| 1141 |
-
"metadata": {},
|
| 1142 |
-
"output_type": "display_data"
|
| 1143 |
-
},
|
| 1144 |
-
{
|
| 1145 |
-
"name": "stdout",
|
| 1146 |
-
"output_type": "stream",
|
| 1147 |
-
"text": [
|
| 1148 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1149 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1150 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1151 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1152 |
-
"run_name = 0523-1827\n",
|
| 1153 |
-
"Launching training on one GPU.\n",
|
| 1154 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1155 |
-
"51200 images can be loaded\n",
|
| 1156 |
-
"field.shape = (64, 64, 514)\n",
|
| 1157 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1158 |
-
"loading 2560 images randomly\n",
|
| 1159 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1160 |
-
"params loaded: (2560, 2)\n"
|
| 1161 |
-
]
|
| 1162 |
-
},
|
| 1163 |
-
{
|
| 1164 |
-
"name": "stderr",
|
| 1165 |
-
"output_type": "stream",
|
| 1166 |
-
"text": [
|
| 1167 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1168 |
-
]
|
| 1169 |
-
},
|
| 1170 |
-
{
|
| 1171 |
-
"name": "stdout",
|
| 1172 |
-
"output_type": "stream",
|
| 1173 |
-
"text": [
|
| 1174 |
-
"images rescaled to [-1.0, 1.1501460075378418]\n",
|
| 1175 |
-
"params rescaled to [0.0, 0.9999471348003476]\n"
|
| 1176 |
-
]
|
| 1177 |
-
},
|
| 1178 |
-
{
|
| 1179 |
-
"data": {
|
| 1180 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1181 |
-
"model_id": "a6bc4ec182f4470a9a0c246742167353",
|
| 1182 |
-
"version_major": 2,
|
| 1183 |
-
"version_minor": 0
|
| 1184 |
-
},
|
| 1185 |
-
"text/plain": [
|
| 1186 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1187 |
-
]
|
| 1188 |
-
},
|
| 1189 |
-
"metadata": {},
|
| 1190 |
-
"output_type": "display_data"
|
| 1191 |
-
},
|
| 1192 |
-
{
|
| 1193 |
-
"data": {
|
| 1194 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1195 |
-
"model_id": "739acd13ed134118996592141aef6444",
|
| 1196 |
-
"version_major": 2,
|
| 1197 |
-
"version_minor": 0
|
| 1198 |
-
},
|
| 1199 |
-
"text/plain": [
|
| 1200 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1201 |
-
]
|
| 1202 |
-
},
|
| 1203 |
-
"metadata": {},
|
| 1204 |
-
"output_type": "display_data"
|
| 1205 |
-
},
|
| 1206 |
-
{
|
| 1207 |
-
"data": {
|
| 1208 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1209 |
-
"model_id": "9fd20ddb2e174b0ba0835d08dd0a76cd",
|
| 1210 |
-
"version_major": 2,
|
| 1211 |
-
"version_minor": 0
|
| 1212 |
-
},
|
| 1213 |
-
"text/plain": [
|
| 1214 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1215 |
-
]
|
| 1216 |
-
},
|
| 1217 |
-
"metadata": {},
|
| 1218 |
-
"output_type": "display_data"
|
| 1219 |
-
},
|
| 1220 |
-
{
|
| 1221 |
-
"data": {
|
| 1222 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1223 |
-
"model_id": "047d88d6d78b4d7aae3f08ac9f69b0cc",
|
| 1224 |
-
"version_major": 2,
|
| 1225 |
-
"version_minor": 0
|
| 1226 |
-
},
|
| 1227 |
-
"text/plain": [
|
| 1228 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1229 |
-
]
|
| 1230 |
-
},
|
| 1231 |
-
"metadata": {},
|
| 1232 |
-
"output_type": "display_data"
|
| 1233 |
-
},
|
| 1234 |
-
{
|
| 1235 |
-
"data": {
|
| 1236 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1237 |
-
"model_id": "a52b1746ae644c6683475d67663650a6",
|
| 1238 |
-
"version_major": 2,
|
| 1239 |
-
"version_minor": 0
|
| 1240 |
-
},
|
| 1241 |
-
"text/plain": [
|
| 1242 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1243 |
-
]
|
| 1244 |
-
},
|
| 1245 |
-
"metadata": {},
|
| 1246 |
-
"output_type": "display_data"
|
| 1247 |
-
},
|
| 1248 |
-
{
|
| 1249 |
-
"name": "stdout",
|
| 1250 |
-
"output_type": "stream",
|
| 1251 |
-
"text": [
|
| 1252 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1253 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1254 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1255 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1256 |
-
"run_name = 0523-1841\n",
|
| 1257 |
-
"Launching training on one GPU.\n",
|
| 1258 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1259 |
-
"51200 images can be loaded\n",
|
| 1260 |
-
"field.shape = (64, 64, 514)\n",
|
| 1261 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1262 |
-
"loading 2560 images randomly\n",
|
| 1263 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1264 |
-
"params loaded: (2560, 2)\n"
|
| 1265 |
-
]
|
| 1266 |
-
},
|
| 1267 |
-
{
|
| 1268 |
-
"name": "stderr",
|
| 1269 |
-
"output_type": "stream",
|
| 1270 |
-
"text": [
|
| 1271 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1272 |
-
]
|
| 1273 |
-
},
|
| 1274 |
-
{
|
| 1275 |
-
"name": "stdout",
|
| 1276 |
-
"output_type": "stream",
|
| 1277 |
-
"text": [
|
| 1278 |
-
"images rescaled to [-1.0, 1.2380504608154297]\n",
|
| 1279 |
-
"params rescaled to [0.0, 0.9995689307032936]\n"
|
| 1280 |
-
]
|
| 1281 |
-
},
|
| 1282 |
-
{
|
| 1283 |
-
"data": {
|
| 1284 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1285 |
-
"model_id": "95531ebcdc554689a77edd04bdd66ea4",
|
| 1286 |
-
"version_major": 2,
|
| 1287 |
-
"version_minor": 0
|
| 1288 |
-
},
|
| 1289 |
-
"text/plain": [
|
| 1290 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1291 |
-
]
|
| 1292 |
-
},
|
| 1293 |
-
"metadata": {},
|
| 1294 |
-
"output_type": "display_data"
|
| 1295 |
-
},
|
| 1296 |
-
{
|
| 1297 |
-
"data": {
|
| 1298 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1299 |
-
"model_id": "11ad4016e0bd4df9b7b3dc607549ecfe",
|
| 1300 |
-
"version_major": 2,
|
| 1301 |
-
"version_minor": 0
|
| 1302 |
-
},
|
| 1303 |
-
"text/plain": [
|
| 1304 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1305 |
-
]
|
| 1306 |
-
},
|
| 1307 |
-
"metadata": {},
|
| 1308 |
-
"output_type": "display_data"
|
| 1309 |
-
},
|
| 1310 |
-
{
|
| 1311 |
-
"data": {
|
| 1312 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1313 |
-
"model_id": "0aff49ba74394fbeac17ff17465cbbb2",
|
| 1314 |
-
"version_major": 2,
|
| 1315 |
-
"version_minor": 0
|
| 1316 |
-
},
|
| 1317 |
-
"text/plain": [
|
| 1318 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1319 |
-
]
|
| 1320 |
-
},
|
| 1321 |
-
"metadata": {},
|
| 1322 |
-
"output_type": "display_data"
|
| 1323 |
-
},
|
| 1324 |
-
{
|
| 1325 |
-
"data": {
|
| 1326 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1327 |
-
"model_id": "b26d39db504e4de5973fd7fe523bf26e",
|
| 1328 |
-
"version_major": 2,
|
| 1329 |
-
"version_minor": 0
|
| 1330 |
-
},
|
| 1331 |
-
"text/plain": [
|
| 1332 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1333 |
-
]
|
| 1334 |
-
},
|
| 1335 |
-
"metadata": {},
|
| 1336 |
-
"output_type": "display_data"
|
| 1337 |
-
},
|
| 1338 |
-
{
|
| 1339 |
-
"data": {
|
| 1340 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1341 |
-
"model_id": "30cab7195cc44e108e0fa21d00059d92",
|
| 1342 |
-
"version_major": 2,
|
| 1343 |
-
"version_minor": 0
|
| 1344 |
-
},
|
| 1345 |
-
"text/plain": [
|
| 1346 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1347 |
-
]
|
| 1348 |
-
},
|
| 1349 |
-
"metadata": {},
|
| 1350 |
-
"output_type": "display_data"
|
| 1351 |
-
},
|
| 1352 |
-
{
|
| 1353 |
-
"name": "stdout",
|
| 1354 |
-
"output_type": "stream",
|
| 1355 |
-
"text": [
|
| 1356 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1357 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1358 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1359 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1360 |
-
"run_name = 0523-1855\n",
|
| 1361 |
-
"Launching training on one GPU.\n",
|
| 1362 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1363 |
-
"51200 images can be loaded\n",
|
| 1364 |
-
"field.shape = (64, 64, 514)\n",
|
| 1365 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1366 |
-
"loading 2560 images randomly\n",
|
| 1367 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1368 |
-
"params loaded: (2560, 2)\n"
|
| 1369 |
-
]
|
| 1370 |
-
},
|
| 1371 |
-
{
|
| 1372 |
-
"name": "stderr",
|
| 1373 |
-
"output_type": "stream",
|
| 1374 |
-
"text": [
|
| 1375 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1376 |
-
]
|
| 1377 |
-
},
|
| 1378 |
-
{
|
| 1379 |
-
"name": "stdout",
|
| 1380 |
-
"output_type": "stream",
|
| 1381 |
-
"text": [
|
| 1382 |
-
"images rescaled to [-1.0, 1.213691234588623]\n",
|
| 1383 |
-
"params rescaled to [0.0, 0.9998792950082773]\n"
|
| 1384 |
-
]
|
| 1385 |
-
},
|
| 1386 |
-
{
|
| 1387 |
-
"data": {
|
| 1388 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1389 |
-
"model_id": "351ec832432d41ea9ddb19e4253af6f9",
|
| 1390 |
-
"version_major": 2,
|
| 1391 |
-
"version_minor": 0
|
| 1392 |
-
},
|
| 1393 |
-
"text/plain": [
|
| 1394 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1395 |
-
]
|
| 1396 |
-
},
|
| 1397 |
-
"metadata": {},
|
| 1398 |
-
"output_type": "display_data"
|
| 1399 |
-
},
|
| 1400 |
-
{
|
| 1401 |
-
"data": {
|
| 1402 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1403 |
-
"model_id": "cb2887cd470b4d019b9a3c3e835c684e",
|
| 1404 |
-
"version_major": 2,
|
| 1405 |
-
"version_minor": 0
|
| 1406 |
-
},
|
| 1407 |
-
"text/plain": [
|
| 1408 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1409 |
-
]
|
| 1410 |
-
},
|
| 1411 |
-
"metadata": {},
|
| 1412 |
-
"output_type": "display_data"
|
| 1413 |
-
},
|
| 1414 |
-
{
|
| 1415 |
-
"data": {
|
| 1416 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1417 |
-
"model_id": "9b531ed4274a43dc9dfcec815c224057",
|
| 1418 |
-
"version_major": 2,
|
| 1419 |
-
"version_minor": 0
|
| 1420 |
-
},
|
| 1421 |
-
"text/plain": [
|
| 1422 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1423 |
-
]
|
| 1424 |
-
},
|
| 1425 |
-
"metadata": {},
|
| 1426 |
-
"output_type": "display_data"
|
| 1427 |
-
},
|
| 1428 |
-
{
|
| 1429 |
-
"data": {
|
| 1430 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1431 |
-
"model_id": "fddcc0663fa544628e068c39a93ee339",
|
| 1432 |
-
"version_major": 2,
|
| 1433 |
-
"version_minor": 0
|
| 1434 |
-
},
|
| 1435 |
-
"text/plain": [
|
| 1436 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1437 |
-
]
|
| 1438 |
-
},
|
| 1439 |
-
"metadata": {},
|
| 1440 |
-
"output_type": "display_data"
|
| 1441 |
-
},
|
| 1442 |
-
{
|
| 1443 |
-
"data": {
|
| 1444 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1445 |
-
"model_id": "e06f5738fd8a4e0b9dbf64c58434a732",
|
| 1446 |
-
"version_major": 2,
|
| 1447 |
-
"version_minor": 0
|
| 1448 |
-
},
|
| 1449 |
-
"text/plain": [
|
| 1450 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1451 |
-
]
|
| 1452 |
-
},
|
| 1453 |
-
"metadata": {},
|
| 1454 |
-
"output_type": "display_data"
|
| 1455 |
-
},
|
| 1456 |
-
{
|
| 1457 |
-
"name": "stdout",
|
| 1458 |
-
"output_type": "stream",
|
| 1459 |
-
"text": [
|
| 1460 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1461 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1462 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1463 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1464 |
-
"run_name = 0523-1909\n",
|
| 1465 |
-
"Launching training on one GPU.\n",
|
| 1466 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1467 |
-
"51200 images can be loaded\n",
|
| 1468 |
-
"field.shape = (64, 64, 514)\n",
|
| 1469 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1470 |
-
"loading 2560 images randomly\n",
|
| 1471 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1472 |
-
"params loaded: (2560, 2)\n"
|
| 1473 |
-
]
|
| 1474 |
-
},
|
| 1475 |
-
{
|
| 1476 |
-
"name": "stderr",
|
| 1477 |
-
"output_type": "stream",
|
| 1478 |
-
"text": [
|
| 1479 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1480 |
-
]
|
| 1481 |
-
},
|
| 1482 |
-
{
|
| 1483 |
-
"name": "stdout",
|
| 1484 |
-
"output_type": "stream",
|
| 1485 |
-
"text": [
|
| 1486 |
-
"images rescaled to [-1.0, 1.1660881042480469]\n",
|
| 1487 |
-
"params rescaled to [0.0, 0.9996599763252814]\n"
|
| 1488 |
-
]
|
| 1489 |
-
},
|
| 1490 |
-
{
|
| 1491 |
-
"data": {
|
| 1492 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1493 |
-
"model_id": "16cee96586da4f468504b43eb44a85eb",
|
| 1494 |
-
"version_major": 2,
|
| 1495 |
-
"version_minor": 0
|
| 1496 |
-
},
|
| 1497 |
-
"text/plain": [
|
| 1498 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1499 |
-
]
|
| 1500 |
-
},
|
| 1501 |
-
"metadata": {},
|
| 1502 |
-
"output_type": "display_data"
|
| 1503 |
-
},
|
| 1504 |
-
{
|
| 1505 |
-
"data": {
|
| 1506 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1507 |
-
"model_id": "f1c09672b85241b08048523a282a66b3",
|
| 1508 |
-
"version_major": 2,
|
| 1509 |
-
"version_minor": 0
|
| 1510 |
-
},
|
| 1511 |
-
"text/plain": [
|
| 1512 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1513 |
-
]
|
| 1514 |
-
},
|
| 1515 |
-
"metadata": {},
|
| 1516 |
-
"output_type": "display_data"
|
| 1517 |
-
},
|
| 1518 |
-
{
|
| 1519 |
-
"data": {
|
| 1520 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1521 |
-
"model_id": "983f1c905e004070835476ad3cb3b90f",
|
| 1522 |
-
"version_major": 2,
|
| 1523 |
-
"version_minor": 0
|
| 1524 |
-
},
|
| 1525 |
-
"text/plain": [
|
| 1526 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1527 |
-
]
|
| 1528 |
-
},
|
| 1529 |
-
"metadata": {},
|
| 1530 |
-
"output_type": "display_data"
|
| 1531 |
-
},
|
| 1532 |
-
{
|
| 1533 |
-
"data": {
|
| 1534 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1535 |
-
"model_id": "ab6bd29590d74343bf2ae3102f398f00",
|
| 1536 |
-
"version_major": 2,
|
| 1537 |
-
"version_minor": 0
|
| 1538 |
-
},
|
| 1539 |
-
"text/plain": [
|
| 1540 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1541 |
-
]
|
| 1542 |
-
},
|
| 1543 |
-
"metadata": {},
|
| 1544 |
-
"output_type": "display_data"
|
| 1545 |
-
},
|
| 1546 |
-
{
|
| 1547 |
-
"data": {
|
| 1548 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1549 |
-
"model_id": "0010fae328c445b292fc9280295c230a",
|
| 1550 |
-
"version_major": 2,
|
| 1551 |
-
"version_minor": 0
|
| 1552 |
-
},
|
| 1553 |
-
"text/plain": [
|
| 1554 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1555 |
-
]
|
| 1556 |
-
},
|
| 1557 |
-
"metadata": {},
|
| 1558 |
-
"output_type": "display_data"
|
| 1559 |
-
},
|
| 1560 |
-
{
|
| 1561 |
-
"name": "stdout",
|
| 1562 |
-
"output_type": "stream",
|
| 1563 |
-
"text": [
|
| 1564 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1565 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1566 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1567 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1568 |
-
"run_name = 0523-1923\n",
|
| 1569 |
-
"Launching training on one GPU.\n",
|
| 1570 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1571 |
-
"51200 images can be loaded\n",
|
| 1572 |
-
"field.shape = (64, 64, 514)\n",
|
| 1573 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1574 |
-
"loading 2560 images randomly\n",
|
| 1575 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1576 |
-
"params loaded: (2560, 2)\n"
|
| 1577 |
-
]
|
| 1578 |
-
},
|
| 1579 |
-
{
|
| 1580 |
-
"name": "stderr",
|
| 1581 |
-
"output_type": "stream",
|
| 1582 |
-
"text": [
|
| 1583 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1584 |
-
]
|
| 1585 |
-
},
|
| 1586 |
-
{
|
| 1587 |
-
"name": "stdout",
|
| 1588 |
-
"output_type": "stream",
|
| 1589 |
-
"text": [
|
| 1590 |
-
"images rescaled to [-1.0, 1.2198786735534668]\n",
|
| 1591 |
-
"params rescaled to [0.0, 0.9998314990826471]\n"
|
| 1592 |
-
]
|
| 1593 |
-
},
|
| 1594 |
-
{
|
| 1595 |
-
"data": {
|
| 1596 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1597 |
-
"model_id": "c95a118330c74ed0a1fc79d632061d98",
|
| 1598 |
-
"version_major": 2,
|
| 1599 |
-
"version_minor": 0
|
| 1600 |
-
},
|
| 1601 |
-
"text/plain": [
|
| 1602 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1603 |
-
]
|
| 1604 |
-
},
|
| 1605 |
-
"metadata": {},
|
| 1606 |
-
"output_type": "display_data"
|
| 1607 |
-
},
|
| 1608 |
-
{
|
| 1609 |
-
"data": {
|
| 1610 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1611 |
-
"model_id": "d29bfb6ea6d242e19899f67f6439329c",
|
| 1612 |
-
"version_major": 2,
|
| 1613 |
-
"version_minor": 0
|
| 1614 |
-
},
|
| 1615 |
-
"text/plain": [
|
| 1616 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1617 |
-
]
|
| 1618 |
-
},
|
| 1619 |
-
"metadata": {},
|
| 1620 |
-
"output_type": "display_data"
|
| 1621 |
-
},
|
| 1622 |
-
{
|
| 1623 |
-
"data": {
|
| 1624 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1625 |
-
"model_id": "757a8eb477e94514af4ffcd9bd68abd9",
|
| 1626 |
-
"version_major": 2,
|
| 1627 |
-
"version_minor": 0
|
| 1628 |
-
},
|
| 1629 |
-
"text/plain": [
|
| 1630 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1631 |
-
]
|
| 1632 |
-
},
|
| 1633 |
-
"metadata": {},
|
| 1634 |
-
"output_type": "display_data"
|
| 1635 |
-
},
|
| 1636 |
-
{
|
| 1637 |
-
"data": {
|
| 1638 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1639 |
-
"model_id": "ea230ce6277c4739bd48bf51a0074a14",
|
| 1640 |
-
"version_major": 2,
|
| 1641 |
-
"version_minor": 0
|
| 1642 |
-
},
|
| 1643 |
-
"text/plain": [
|
| 1644 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1645 |
-
]
|
| 1646 |
-
},
|
| 1647 |
-
"metadata": {},
|
| 1648 |
-
"output_type": "display_data"
|
| 1649 |
-
},
|
| 1650 |
-
{
|
| 1651 |
-
"data": {
|
| 1652 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1653 |
-
"model_id": "6a9fdca4ae934e3991523b1ae7f4c89d",
|
| 1654 |
-
"version_major": 2,
|
| 1655 |
-
"version_minor": 0
|
| 1656 |
-
},
|
| 1657 |
-
"text/plain": [
|
| 1658 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1659 |
-
]
|
| 1660 |
-
},
|
| 1661 |
-
"metadata": {},
|
| 1662 |
-
"output_type": "display_data"
|
| 1663 |
-
},
|
| 1664 |
-
{
|
| 1665 |
-
"name": "stdout",
|
| 1666 |
-
"output_type": "stream",
|
| 1667 |
-
"text": [
|
| 1668 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1669 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1670 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1671 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1672 |
-
"run_name = 0523-1936\n",
|
| 1673 |
-
"Launching training on one GPU.\n",
|
| 1674 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1675 |
-
"51200 images can be loaded\n",
|
| 1676 |
-
"field.shape = (64, 64, 514)\n",
|
| 1677 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1678 |
-
"loading 2560 images randomly\n",
|
| 1679 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1680 |
-
"params loaded: (2560, 2)\n"
|
| 1681 |
-
]
|
| 1682 |
-
},
|
| 1683 |
-
{
|
| 1684 |
-
"name": "stderr",
|
| 1685 |
-
"output_type": "stream",
|
| 1686 |
-
"text": [
|
| 1687 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1688 |
-
]
|
| 1689 |
-
},
|
| 1690 |
-
{
|
| 1691 |
-
"name": "stdout",
|
| 1692 |
-
"output_type": "stream",
|
| 1693 |
-
"text": [
|
| 1694 |
-
"images rescaled to [-1.0, 1.1454887390136719]\n",
|
| 1695 |
-
"params rescaled to [0.0, 0.9999729145115386]\n"
|
| 1696 |
-
]
|
| 1697 |
-
},
|
| 1698 |
-
{
|
| 1699 |
-
"data": {
|
| 1700 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1701 |
-
"model_id": "1dd2a405fc954898aac271f9e73d5b73",
|
| 1702 |
-
"version_major": 2,
|
| 1703 |
-
"version_minor": 0
|
| 1704 |
-
},
|
| 1705 |
-
"text/plain": [
|
| 1706 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1707 |
-
]
|
| 1708 |
-
},
|
| 1709 |
-
"metadata": {},
|
| 1710 |
-
"output_type": "display_data"
|
| 1711 |
-
},
|
| 1712 |
-
{
|
| 1713 |
-
"data": {
|
| 1714 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1715 |
-
"model_id": "347d61391cfa4762b0d3bc61cc9f6ffe",
|
| 1716 |
-
"version_major": 2,
|
| 1717 |
-
"version_minor": 0
|
| 1718 |
-
},
|
| 1719 |
-
"text/plain": [
|
| 1720 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1721 |
-
]
|
| 1722 |
-
},
|
| 1723 |
-
"metadata": {},
|
| 1724 |
-
"output_type": "display_data"
|
| 1725 |
-
},
|
| 1726 |
-
{
|
| 1727 |
-
"data": {
|
| 1728 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1729 |
-
"model_id": "cc4bae2ec2f54b03b1ccfb5b0b1f6db5",
|
| 1730 |
-
"version_major": 2,
|
| 1731 |
-
"version_minor": 0
|
| 1732 |
-
},
|
| 1733 |
-
"text/plain": [
|
| 1734 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1735 |
-
]
|
| 1736 |
-
},
|
| 1737 |
-
"metadata": {},
|
| 1738 |
-
"output_type": "display_data"
|
| 1739 |
-
},
|
| 1740 |
-
{
|
| 1741 |
-
"data": {
|
| 1742 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1743 |
-
"model_id": "03e73722c1b140c4bf3175765b466250",
|
| 1744 |
-
"version_major": 2,
|
| 1745 |
-
"version_minor": 0
|
| 1746 |
-
},
|
| 1747 |
-
"text/plain": [
|
| 1748 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1749 |
-
]
|
| 1750 |
-
},
|
| 1751 |
-
"metadata": {},
|
| 1752 |
-
"output_type": "display_data"
|
| 1753 |
-
},
|
| 1754 |
-
{
|
| 1755 |
-
"data": {
|
| 1756 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1757 |
-
"model_id": "18d59a14a24c4468a61d4a95f03617eb",
|
| 1758 |
-
"version_major": 2,
|
| 1759 |
-
"version_minor": 0
|
| 1760 |
-
},
|
| 1761 |
-
"text/plain": [
|
| 1762 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1763 |
-
]
|
| 1764 |
-
},
|
| 1765 |
-
"metadata": {},
|
| 1766 |
-
"output_type": "display_data"
|
| 1767 |
-
},
|
| 1768 |
-
{
|
| 1769 |
-
"name": "stdout",
|
| 1770 |
-
"output_type": "stream",
|
| 1771 |
-
"text": [
|
| 1772 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1773 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1774 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1775 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1776 |
-
"run_name = 0523-1950\n",
|
| 1777 |
-
"Launching training on one GPU.\n",
|
| 1778 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1779 |
-
"51200 images can be loaded\n",
|
| 1780 |
-
"field.shape = (64, 64, 514)\n",
|
| 1781 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1782 |
-
"loading 2560 images randomly\n",
|
| 1783 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1784 |
-
"params loaded: (2560, 2)\n"
|
| 1785 |
-
]
|
| 1786 |
-
},
|
| 1787 |
-
{
|
| 1788 |
-
"name": "stderr",
|
| 1789 |
-
"output_type": "stream",
|
| 1790 |
-
"text": [
|
| 1791 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1792 |
-
]
|
| 1793 |
-
},
|
| 1794 |
-
{
|
| 1795 |
-
"name": "stdout",
|
| 1796 |
-
"output_type": "stream",
|
| 1797 |
-
"text": [
|
| 1798 |
-
"images rescaled to [-1.0, 1.1910929679870605]\n",
|
| 1799 |
-
"params rescaled to [0.0, 0.9997530171043563]\n"
|
| 1800 |
-
]
|
| 1801 |
-
},
|
| 1802 |
-
{
|
| 1803 |
-
"data": {
|
| 1804 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1805 |
-
"model_id": "a4802b4026b24ac3a39b82dcd76519b5",
|
| 1806 |
-
"version_major": 2,
|
| 1807 |
-
"version_minor": 0
|
| 1808 |
-
},
|
| 1809 |
-
"text/plain": [
|
| 1810 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1811 |
-
]
|
| 1812 |
-
},
|
| 1813 |
-
"metadata": {},
|
| 1814 |
-
"output_type": "display_data"
|
| 1815 |
-
},
|
| 1816 |
-
{
|
| 1817 |
-
"data": {
|
| 1818 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1819 |
-
"model_id": "aa9ff34f12a441ceb0df8e8343199a22",
|
| 1820 |
-
"version_major": 2,
|
| 1821 |
-
"version_minor": 0
|
| 1822 |
-
},
|
| 1823 |
-
"text/plain": [
|
| 1824 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1825 |
-
]
|
| 1826 |
-
},
|
| 1827 |
-
"metadata": {},
|
| 1828 |
-
"output_type": "display_data"
|
| 1829 |
-
},
|
| 1830 |
-
{
|
| 1831 |
-
"data": {
|
| 1832 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1833 |
-
"model_id": "313e85a2992a471a8cb6b7e611937175",
|
| 1834 |
-
"version_major": 2,
|
| 1835 |
-
"version_minor": 0
|
| 1836 |
-
},
|
| 1837 |
-
"text/plain": [
|
| 1838 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1839 |
-
]
|
| 1840 |
-
},
|
| 1841 |
-
"metadata": {},
|
| 1842 |
-
"output_type": "display_data"
|
| 1843 |
-
},
|
| 1844 |
-
{
|
| 1845 |
-
"data": {
|
| 1846 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1847 |
-
"model_id": "9c29979135f546f4a160de08972e1e38",
|
| 1848 |
-
"version_major": 2,
|
| 1849 |
-
"version_minor": 0
|
| 1850 |
-
},
|
| 1851 |
-
"text/plain": [
|
| 1852 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1853 |
-
]
|
| 1854 |
-
},
|
| 1855 |
-
"metadata": {},
|
| 1856 |
-
"output_type": "display_data"
|
| 1857 |
-
},
|
| 1858 |
-
{
|
| 1859 |
-
"data": {
|
| 1860 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1861 |
-
"model_id": "4e3c9c716d104537b46bb6300fbb2554",
|
| 1862 |
-
"version_major": 2,
|
| 1863 |
-
"version_minor": 0
|
| 1864 |
-
},
|
| 1865 |
-
"text/plain": [
|
| 1866 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1867 |
-
]
|
| 1868 |
-
},
|
| 1869 |
-
"metadata": {},
|
| 1870 |
-
"output_type": "display_data"
|
| 1871 |
-
},
|
| 1872 |
-
{
|
| 1873 |
-
"name": "stdout",
|
| 1874 |
-
"output_type": "stream",
|
| 1875 |
-
"text": [
|
| 1876 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1877 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1878 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1879 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1880 |
-
"run_name = 0523-2003\n",
|
| 1881 |
-
"Launching training on one GPU.\n",
|
| 1882 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1883 |
-
"51200 images can be loaded\n",
|
| 1884 |
-
"field.shape = (64, 64, 514)\n",
|
| 1885 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1886 |
-
"loading 2560 images randomly\n",
|
| 1887 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1888 |
-
"params loaded: (2560, 2)\n"
|
| 1889 |
-
]
|
| 1890 |
-
},
|
| 1891 |
-
{
|
| 1892 |
-
"name": "stderr",
|
| 1893 |
-
"output_type": "stream",
|
| 1894 |
-
"text": [
|
| 1895 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 1896 |
-
]
|
| 1897 |
-
},
|
| 1898 |
-
{
|
| 1899 |
-
"name": "stdout",
|
| 1900 |
-
"output_type": "stream",
|
| 1901 |
-
"text": [
|
| 1902 |
-
"images rescaled to [-1.0, 1.1919512748718262]\n",
|
| 1903 |
-
"params rescaled to [0.0, 0.9996328043579714]\n"
|
| 1904 |
-
]
|
| 1905 |
-
},
|
| 1906 |
-
{
|
| 1907 |
-
"data": {
|
| 1908 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1909 |
-
"model_id": "0335a6afd3b34650b595864804a9dc0e",
|
| 1910 |
-
"version_major": 2,
|
| 1911 |
-
"version_minor": 0
|
| 1912 |
-
},
|
| 1913 |
-
"text/plain": [
|
| 1914 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1915 |
-
]
|
| 1916 |
-
},
|
| 1917 |
-
"metadata": {},
|
| 1918 |
-
"output_type": "display_data"
|
| 1919 |
-
},
|
| 1920 |
-
{
|
| 1921 |
-
"data": {
|
| 1922 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1923 |
-
"model_id": "3ebd48095dae4652b4f1193a0655651e",
|
| 1924 |
-
"version_major": 2,
|
| 1925 |
-
"version_minor": 0
|
| 1926 |
-
},
|
| 1927 |
-
"text/plain": [
|
| 1928 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1929 |
-
]
|
| 1930 |
-
},
|
| 1931 |
-
"metadata": {},
|
| 1932 |
-
"output_type": "display_data"
|
| 1933 |
-
},
|
| 1934 |
-
{
|
| 1935 |
-
"data": {
|
| 1936 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1937 |
-
"model_id": "7da841ef9b664e86abb2e4d5fe02880e",
|
| 1938 |
-
"version_major": 2,
|
| 1939 |
-
"version_minor": 0
|
| 1940 |
-
},
|
| 1941 |
-
"text/plain": [
|
| 1942 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1943 |
-
]
|
| 1944 |
-
},
|
| 1945 |
-
"metadata": {},
|
| 1946 |
-
"output_type": "display_data"
|
| 1947 |
-
},
|
| 1948 |
-
{
|
| 1949 |
-
"data": {
|
| 1950 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1951 |
-
"model_id": "947d1adcb7cd4d9198cf5c950761bd8b",
|
| 1952 |
-
"version_major": 2,
|
| 1953 |
-
"version_minor": 0
|
| 1954 |
-
},
|
| 1955 |
-
"text/plain": [
|
| 1956 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1957 |
-
]
|
| 1958 |
-
},
|
| 1959 |
-
"metadata": {},
|
| 1960 |
-
"output_type": "display_data"
|
| 1961 |
-
},
|
| 1962 |
-
{
|
| 1963 |
-
"data": {
|
| 1964 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 1965 |
-
"model_id": "59ab1c66259849e6a1bba861331ae67a",
|
| 1966 |
-
"version_major": 2,
|
| 1967 |
-
"version_minor": 0
|
| 1968 |
-
},
|
| 1969 |
-
"text/plain": [
|
| 1970 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 1971 |
-
]
|
| 1972 |
-
},
|
| 1973 |
-
"metadata": {},
|
| 1974 |
-
"output_type": "display_data"
|
| 1975 |
-
},
|
| 1976 |
-
{
|
| 1977 |
-
"name": "stdout",
|
| 1978 |
-
"output_type": "stream",
|
| 1979 |
-
"text": [
|
| 1980 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 1981 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 1982 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 1983 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 1984 |
-
"run_name = 0523-2017\n",
|
| 1985 |
-
"Launching training on one GPU.\n",
|
| 1986 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 1987 |
-
"51200 images can be loaded\n",
|
| 1988 |
-
"field.shape = (64, 64, 514)\n",
|
| 1989 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 1990 |
-
"loading 2560 images randomly\n",
|
| 1991 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 1992 |
-
"params loaded: (2560, 2)\n"
|
| 1993 |
-
]
|
| 1994 |
-
},
|
| 1995 |
-
{
|
| 1996 |
-
"name": "stderr",
|
| 1997 |
-
"output_type": "stream",
|
| 1998 |
-
"text": [
|
| 1999 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2000 |
-
]
|
| 2001 |
-
},
|
| 2002 |
-
{
|
| 2003 |
-
"name": "stdout",
|
| 2004 |
-
"output_type": "stream",
|
| 2005 |
-
"text": [
|
| 2006 |
-
"images rescaled to [-1.0, 1.1904358863830566]\n",
|
| 2007 |
-
"params rescaled to [0.0, 0.9999922179553216]\n"
|
| 2008 |
-
]
|
| 2009 |
-
},
|
| 2010 |
-
{
|
| 2011 |
-
"data": {
|
| 2012 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2013 |
-
"model_id": "604543a31a744b0fb4516ed40d387a7b",
|
| 2014 |
-
"version_major": 2,
|
| 2015 |
-
"version_minor": 0
|
| 2016 |
-
},
|
| 2017 |
-
"text/plain": [
|
| 2018 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2019 |
-
]
|
| 2020 |
-
},
|
| 2021 |
-
"metadata": {},
|
| 2022 |
-
"output_type": "display_data"
|
| 2023 |
-
},
|
| 2024 |
-
{
|
| 2025 |
-
"data": {
|
| 2026 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2027 |
-
"model_id": "8ebd6e15af2f44aaa4f30e7941c0839e",
|
| 2028 |
-
"version_major": 2,
|
| 2029 |
-
"version_minor": 0
|
| 2030 |
-
},
|
| 2031 |
-
"text/plain": [
|
| 2032 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2033 |
-
]
|
| 2034 |
-
},
|
| 2035 |
-
"metadata": {},
|
| 2036 |
-
"output_type": "display_data"
|
| 2037 |
-
},
|
| 2038 |
-
{
|
| 2039 |
-
"data": {
|
| 2040 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2041 |
-
"model_id": "449f408826574d899568929b1303359c",
|
| 2042 |
-
"version_major": 2,
|
| 2043 |
-
"version_minor": 0
|
| 2044 |
-
},
|
| 2045 |
-
"text/plain": [
|
| 2046 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2047 |
-
]
|
| 2048 |
-
},
|
| 2049 |
-
"metadata": {},
|
| 2050 |
-
"output_type": "display_data"
|
| 2051 |
-
},
|
| 2052 |
-
{
|
| 2053 |
-
"data": {
|
| 2054 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2055 |
-
"model_id": "de5d676eddd14766aeaca2b3e7dc3fcf",
|
| 2056 |
-
"version_major": 2,
|
| 2057 |
-
"version_minor": 0
|
| 2058 |
-
},
|
| 2059 |
-
"text/plain": [
|
| 2060 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2061 |
-
]
|
| 2062 |
-
},
|
| 2063 |
-
"metadata": {},
|
| 2064 |
-
"output_type": "display_data"
|
| 2065 |
-
},
|
| 2066 |
-
{
|
| 2067 |
-
"data": {
|
| 2068 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2069 |
-
"model_id": "4b15b89040124a7e928e88ae3dbf05d8",
|
| 2070 |
-
"version_major": 2,
|
| 2071 |
-
"version_minor": 0
|
| 2072 |
-
},
|
| 2073 |
-
"text/plain": [
|
| 2074 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2075 |
-
]
|
| 2076 |
-
},
|
| 2077 |
-
"metadata": {},
|
| 2078 |
-
"output_type": "display_data"
|
| 2079 |
-
},
|
| 2080 |
-
{
|
| 2081 |
-
"name": "stdout",
|
| 2082 |
-
"output_type": "stream",
|
| 2083 |
-
"text": [
|
| 2084 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2085 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2086 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2087 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2088 |
-
"run_name = 0523-2031\n",
|
| 2089 |
-
"Launching training on one GPU.\n",
|
| 2090 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2091 |
-
"51200 images can be loaded\n",
|
| 2092 |
-
"field.shape = (64, 64, 514)\n",
|
| 2093 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2094 |
-
"loading 2560 images randomly\n",
|
| 2095 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2096 |
-
"params loaded: (2560, 2)\n"
|
| 2097 |
-
]
|
| 2098 |
-
},
|
| 2099 |
-
{
|
| 2100 |
-
"name": "stderr",
|
| 2101 |
-
"output_type": "stream",
|
| 2102 |
-
"text": [
|
| 2103 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2104 |
-
]
|
| 2105 |
-
},
|
| 2106 |
-
{
|
| 2107 |
-
"name": "stdout",
|
| 2108 |
-
"output_type": "stream",
|
| 2109 |
-
"text": [
|
| 2110 |
-
"images rescaled to [-1.0, 1.2380504608154297]\n",
|
| 2111 |
-
"params rescaled to [0.0, 0.9999729145115386]\n"
|
| 2112 |
-
]
|
| 2113 |
-
},
|
| 2114 |
-
{
|
| 2115 |
-
"data": {
|
| 2116 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2117 |
-
"model_id": "dd556cfaf5b144b8ba1a6ae05951ef85",
|
| 2118 |
-
"version_major": 2,
|
| 2119 |
-
"version_minor": 0
|
| 2120 |
-
},
|
| 2121 |
-
"text/plain": [
|
| 2122 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2123 |
-
]
|
| 2124 |
-
},
|
| 2125 |
-
"metadata": {},
|
| 2126 |
-
"output_type": "display_data"
|
| 2127 |
-
},
|
| 2128 |
-
{
|
| 2129 |
-
"data": {
|
| 2130 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2131 |
-
"model_id": "7f79efc6908945faaa4583e5c6996389",
|
| 2132 |
-
"version_major": 2,
|
| 2133 |
-
"version_minor": 0
|
| 2134 |
-
},
|
| 2135 |
-
"text/plain": [
|
| 2136 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2137 |
-
]
|
| 2138 |
-
},
|
| 2139 |
-
"metadata": {},
|
| 2140 |
-
"output_type": "display_data"
|
| 2141 |
-
},
|
| 2142 |
-
{
|
| 2143 |
-
"data": {
|
| 2144 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2145 |
-
"model_id": "ee7e57d75e924f9999f88171d8cf691b",
|
| 2146 |
-
"version_major": 2,
|
| 2147 |
-
"version_minor": 0
|
| 2148 |
-
},
|
| 2149 |
-
"text/plain": [
|
| 2150 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2151 |
-
]
|
| 2152 |
-
},
|
| 2153 |
-
"metadata": {},
|
| 2154 |
-
"output_type": "display_data"
|
| 2155 |
-
},
|
| 2156 |
-
{
|
| 2157 |
-
"data": {
|
| 2158 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2159 |
-
"model_id": "5fe002cfc85d440ba58c25435e7f31c9",
|
| 2160 |
-
"version_major": 2,
|
| 2161 |
-
"version_minor": 0
|
| 2162 |
-
},
|
| 2163 |
-
"text/plain": [
|
| 2164 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2165 |
-
]
|
| 2166 |
-
},
|
| 2167 |
-
"metadata": {},
|
| 2168 |
-
"output_type": "display_data"
|
| 2169 |
-
},
|
| 2170 |
-
{
|
| 2171 |
-
"data": {
|
| 2172 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2173 |
-
"model_id": "e9e16e8718af4469908738a1343be4b7",
|
| 2174 |
-
"version_major": 2,
|
| 2175 |
-
"version_minor": 0
|
| 2176 |
-
},
|
| 2177 |
-
"text/plain": [
|
| 2178 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2179 |
-
]
|
| 2180 |
-
},
|
| 2181 |
-
"metadata": {},
|
| 2182 |
-
"output_type": "display_data"
|
| 2183 |
-
},
|
| 2184 |
-
{
|
| 2185 |
-
"name": "stdout",
|
| 2186 |
-
"output_type": "stream",
|
| 2187 |
-
"text": [
|
| 2188 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2189 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2190 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2191 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2192 |
-
"run_name = 0523-2045\n",
|
| 2193 |
-
"Launching training on one GPU.\n",
|
| 2194 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2195 |
-
"51200 images can be loaded\n",
|
| 2196 |
-
"field.shape = (64, 64, 514)\n",
|
| 2197 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2198 |
-
"loading 2560 images randomly\n",
|
| 2199 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2200 |
-
"params loaded: (2560, 2)\n"
|
| 2201 |
-
]
|
| 2202 |
-
},
|
| 2203 |
-
{
|
| 2204 |
-
"name": "stderr",
|
| 2205 |
-
"output_type": "stream",
|
| 2206 |
-
"text": [
|
| 2207 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2208 |
-
]
|
| 2209 |
-
},
|
| 2210 |
-
{
|
| 2211 |
-
"name": "stdout",
|
| 2212 |
-
"output_type": "stream",
|
| 2213 |
-
"text": [
|
| 2214 |
-
"images rescaled to [-1.0, 1.221698522567749]\n",
|
| 2215 |
-
"params rescaled to [0.0, 0.999417343394041]\n"
|
| 2216 |
-
]
|
| 2217 |
-
},
|
| 2218 |
-
{
|
| 2219 |
-
"data": {
|
| 2220 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2221 |
-
"model_id": "a022a57774a0454fba967b38d24104ec",
|
| 2222 |
-
"version_major": 2,
|
| 2223 |
-
"version_minor": 0
|
| 2224 |
-
},
|
| 2225 |
-
"text/plain": [
|
| 2226 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2227 |
-
]
|
| 2228 |
-
},
|
| 2229 |
-
"metadata": {},
|
| 2230 |
-
"output_type": "display_data"
|
| 2231 |
-
},
|
| 2232 |
-
{
|
| 2233 |
-
"data": {
|
| 2234 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2235 |
-
"model_id": "f4412e8787ca41cf9464d93d7564e51d",
|
| 2236 |
-
"version_major": 2,
|
| 2237 |
-
"version_minor": 0
|
| 2238 |
-
},
|
| 2239 |
-
"text/plain": [
|
| 2240 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2241 |
-
]
|
| 2242 |
-
},
|
| 2243 |
-
"metadata": {},
|
| 2244 |
-
"output_type": "display_data"
|
| 2245 |
-
},
|
| 2246 |
-
{
|
| 2247 |
-
"data": {
|
| 2248 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2249 |
-
"model_id": "3b722690423046a5a8814f3ea03f102b",
|
| 2250 |
-
"version_major": 2,
|
| 2251 |
-
"version_minor": 0
|
| 2252 |
-
},
|
| 2253 |
-
"text/plain": [
|
| 2254 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2255 |
-
]
|
| 2256 |
-
},
|
| 2257 |
-
"metadata": {},
|
| 2258 |
-
"output_type": "display_data"
|
| 2259 |
-
},
|
| 2260 |
-
{
|
| 2261 |
-
"data": {
|
| 2262 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2263 |
-
"model_id": "40185d05e00f49648d6433a98cd9d115",
|
| 2264 |
-
"version_major": 2,
|
| 2265 |
-
"version_minor": 0
|
| 2266 |
-
},
|
| 2267 |
-
"text/plain": [
|
| 2268 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2269 |
-
]
|
| 2270 |
-
},
|
| 2271 |
-
"metadata": {},
|
| 2272 |
-
"output_type": "display_data"
|
| 2273 |
-
},
|
| 2274 |
-
{
|
| 2275 |
-
"data": {
|
| 2276 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2277 |
-
"model_id": "49a5fc20ccc14e9fad0a4dbd7525137b",
|
| 2278 |
-
"version_major": 2,
|
| 2279 |
-
"version_minor": 0
|
| 2280 |
-
},
|
| 2281 |
-
"text/plain": [
|
| 2282 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2283 |
-
]
|
| 2284 |
-
},
|
| 2285 |
-
"metadata": {},
|
| 2286 |
-
"output_type": "display_data"
|
| 2287 |
-
},
|
| 2288 |
-
{
|
| 2289 |
-
"name": "stdout",
|
| 2290 |
-
"output_type": "stream",
|
| 2291 |
-
"text": [
|
| 2292 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2293 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2294 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2295 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2296 |
-
"run_name = 0523-2059\n",
|
| 2297 |
-
"Launching training on one GPU.\n",
|
| 2298 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2299 |
-
"51200 images can be loaded\n",
|
| 2300 |
-
"field.shape = (64, 64, 514)\n",
|
| 2301 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2302 |
-
"loading 2560 images randomly\n",
|
| 2303 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2304 |
-
"params loaded: (2560, 2)\n"
|
| 2305 |
-
]
|
| 2306 |
-
},
|
| 2307 |
-
{
|
| 2308 |
-
"name": "stderr",
|
| 2309 |
-
"output_type": "stream",
|
| 2310 |
-
"text": [
|
| 2311 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2312 |
-
]
|
| 2313 |
-
},
|
| 2314 |
-
{
|
| 2315 |
-
"name": "stdout",
|
| 2316 |
-
"output_type": "stream",
|
| 2317 |
-
"text": [
|
| 2318 |
-
"images rescaled to [-1.0, 1.1660881042480469]\n",
|
| 2319 |
-
"params rescaled to [0.0, 0.9999527071628225]\n"
|
| 2320 |
-
]
|
| 2321 |
-
},
|
| 2322 |
-
{
|
| 2323 |
-
"data": {
|
| 2324 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2325 |
-
"model_id": "aff71fe26bf34db588ea601acd4cad52",
|
| 2326 |
-
"version_major": 2,
|
| 2327 |
-
"version_minor": 0
|
| 2328 |
-
},
|
| 2329 |
-
"text/plain": [
|
| 2330 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2331 |
-
]
|
| 2332 |
-
},
|
| 2333 |
-
"metadata": {},
|
| 2334 |
-
"output_type": "display_data"
|
| 2335 |
-
},
|
| 2336 |
-
{
|
| 2337 |
-
"data": {
|
| 2338 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2339 |
-
"model_id": "4293e38c6b3c498d80fc5e4551541dba",
|
| 2340 |
-
"version_major": 2,
|
| 2341 |
-
"version_minor": 0
|
| 2342 |
-
},
|
| 2343 |
-
"text/plain": [
|
| 2344 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2345 |
-
]
|
| 2346 |
-
},
|
| 2347 |
-
"metadata": {},
|
| 2348 |
-
"output_type": "display_data"
|
| 2349 |
-
},
|
| 2350 |
-
{
|
| 2351 |
-
"data": {
|
| 2352 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2353 |
-
"model_id": "7464481677004886907c6477f6d2814f",
|
| 2354 |
-
"version_major": 2,
|
| 2355 |
-
"version_minor": 0
|
| 2356 |
-
},
|
| 2357 |
-
"text/plain": [
|
| 2358 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2359 |
-
]
|
| 2360 |
-
},
|
| 2361 |
-
"metadata": {},
|
| 2362 |
-
"output_type": "display_data"
|
| 2363 |
-
},
|
| 2364 |
-
{
|
| 2365 |
-
"data": {
|
| 2366 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2367 |
-
"model_id": "aef892f9f9e74ecfb3827277588aba53",
|
| 2368 |
-
"version_major": 2,
|
| 2369 |
-
"version_minor": 0
|
| 2370 |
-
},
|
| 2371 |
-
"text/plain": [
|
| 2372 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2373 |
-
]
|
| 2374 |
-
},
|
| 2375 |
-
"metadata": {},
|
| 2376 |
-
"output_type": "display_data"
|
| 2377 |
-
},
|
| 2378 |
-
{
|
| 2379 |
-
"data": {
|
| 2380 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2381 |
-
"model_id": "636c8232725e41f287ea43aebe1d4323",
|
| 2382 |
-
"version_major": 2,
|
| 2383 |
-
"version_minor": 0
|
| 2384 |
-
},
|
| 2385 |
-
"text/plain": [
|
| 2386 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2387 |
-
]
|
| 2388 |
-
},
|
| 2389 |
-
"metadata": {},
|
| 2390 |
-
"output_type": "display_data"
|
| 2391 |
-
},
|
| 2392 |
-
{
|
| 2393 |
-
"name": "stdout",
|
| 2394 |
-
"output_type": "stream",
|
| 2395 |
-
"text": [
|
| 2396 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2397 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2398 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2399 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2400 |
-
"run_name = 0523-2112\n",
|
| 2401 |
-
"Launching training on one GPU.\n",
|
| 2402 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2403 |
-
"51200 images can be loaded\n",
|
| 2404 |
-
"field.shape = (64, 64, 514)\n",
|
| 2405 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2406 |
-
"loading 2560 images randomly\n",
|
| 2407 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2408 |
-
"params loaded: (2560, 2)\n"
|
| 2409 |
-
]
|
| 2410 |
-
},
|
| 2411 |
-
{
|
| 2412 |
-
"name": "stderr",
|
| 2413 |
-
"output_type": "stream",
|
| 2414 |
-
"text": [
|
| 2415 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2416 |
-
]
|
| 2417 |
-
},
|
| 2418 |
-
{
|
| 2419 |
-
"name": "stdout",
|
| 2420 |
-
"output_type": "stream",
|
| 2421 |
-
"text": [
|
| 2422 |
-
"images rescaled to [-1.0, 1.186443567276001]\n",
|
| 2423 |
-
"params rescaled to [0.0, 0.9999527071628225]\n"
|
| 2424 |
-
]
|
| 2425 |
-
},
|
| 2426 |
-
{
|
| 2427 |
-
"data": {
|
| 2428 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2429 |
-
"model_id": "dbff43f42dcc442ca9ef52934a9b42ec",
|
| 2430 |
-
"version_major": 2,
|
| 2431 |
-
"version_minor": 0
|
| 2432 |
-
},
|
| 2433 |
-
"text/plain": [
|
| 2434 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2435 |
-
]
|
| 2436 |
-
},
|
| 2437 |
-
"metadata": {},
|
| 2438 |
-
"output_type": "display_data"
|
| 2439 |
-
},
|
| 2440 |
-
{
|
| 2441 |
-
"data": {
|
| 2442 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2443 |
-
"model_id": "e589c79ec64a4e24b4eeb553438519b0",
|
| 2444 |
-
"version_major": 2,
|
| 2445 |
-
"version_minor": 0
|
| 2446 |
-
},
|
| 2447 |
-
"text/plain": [
|
| 2448 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2449 |
-
]
|
| 2450 |
-
},
|
| 2451 |
-
"metadata": {},
|
| 2452 |
-
"output_type": "display_data"
|
| 2453 |
-
},
|
| 2454 |
-
{
|
| 2455 |
-
"data": {
|
| 2456 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2457 |
-
"model_id": "8067bed5d5d14167ae63260cde1f4abf",
|
| 2458 |
-
"version_major": 2,
|
| 2459 |
-
"version_minor": 0
|
| 2460 |
-
},
|
| 2461 |
-
"text/plain": [
|
| 2462 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2463 |
-
]
|
| 2464 |
-
},
|
| 2465 |
-
"metadata": {},
|
| 2466 |
-
"output_type": "display_data"
|
| 2467 |
-
},
|
| 2468 |
-
{
|
| 2469 |
-
"data": {
|
| 2470 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2471 |
-
"model_id": "bb44a619cabd41b19c68c79ba0a2f311",
|
| 2472 |
-
"version_major": 2,
|
| 2473 |
-
"version_minor": 0
|
| 2474 |
-
},
|
| 2475 |
-
"text/plain": [
|
| 2476 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2477 |
-
]
|
| 2478 |
-
},
|
| 2479 |
-
"metadata": {},
|
| 2480 |
-
"output_type": "display_data"
|
| 2481 |
-
},
|
| 2482 |
-
{
|
| 2483 |
-
"data": {
|
| 2484 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2485 |
-
"model_id": "425106200c29494582d833bce230b5bd",
|
| 2486 |
-
"version_major": 2,
|
| 2487 |
-
"version_minor": 0
|
| 2488 |
-
},
|
| 2489 |
-
"text/plain": [
|
| 2490 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2491 |
-
]
|
| 2492 |
-
},
|
| 2493 |
-
"metadata": {},
|
| 2494 |
-
"output_type": "display_data"
|
| 2495 |
-
},
|
| 2496 |
-
{
|
| 2497 |
-
"name": "stdout",
|
| 2498 |
-
"output_type": "stream",
|
| 2499 |
-
"text": [
|
| 2500 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2501 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2502 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2503 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2504 |
-
"run_name = 0523-2125\n",
|
| 2505 |
-
"Launching training on one GPU.\n",
|
| 2506 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2507 |
-
"51200 images can be loaded\n",
|
| 2508 |
-
"field.shape = (64, 64, 514)\n",
|
| 2509 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2510 |
-
"loading 2560 images randomly\n",
|
| 2511 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2512 |
-
"params loaded: (2560, 2)\n"
|
| 2513 |
-
]
|
| 2514 |
-
},
|
| 2515 |
-
{
|
| 2516 |
-
"name": "stderr",
|
| 2517 |
-
"output_type": "stream",
|
| 2518 |
-
"text": [
|
| 2519 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2520 |
-
]
|
| 2521 |
-
},
|
| 2522 |
-
{
|
| 2523 |
-
"name": "stdout",
|
| 2524 |
-
"output_type": "stream",
|
| 2525 |
-
"text": [
|
| 2526 |
-
"images rescaled to [-1.0, 1.1556508541107178]\n",
|
| 2527 |
-
"params rescaled to [0.0, 0.99988945406874]\n"
|
| 2528 |
-
]
|
| 2529 |
-
},
|
| 2530 |
-
{
|
| 2531 |
-
"data": {
|
| 2532 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2533 |
-
"model_id": "d676b3d582934bd7bec5554211041af2",
|
| 2534 |
-
"version_major": 2,
|
| 2535 |
-
"version_minor": 0
|
| 2536 |
-
},
|
| 2537 |
-
"text/plain": [
|
| 2538 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2539 |
-
]
|
| 2540 |
-
},
|
| 2541 |
-
"metadata": {},
|
| 2542 |
-
"output_type": "display_data"
|
| 2543 |
-
},
|
| 2544 |
-
{
|
| 2545 |
-
"data": {
|
| 2546 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2547 |
-
"model_id": "e05f8648fd3642d19974f0d4abff8ac3",
|
| 2548 |
-
"version_major": 2,
|
| 2549 |
-
"version_minor": 0
|
| 2550 |
-
},
|
| 2551 |
-
"text/plain": [
|
| 2552 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2553 |
-
]
|
| 2554 |
-
},
|
| 2555 |
-
"metadata": {},
|
| 2556 |
-
"output_type": "display_data"
|
| 2557 |
-
},
|
| 2558 |
-
{
|
| 2559 |
-
"data": {
|
| 2560 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2561 |
-
"model_id": "e4994130112b400c98173e6fe3d5daf3",
|
| 2562 |
-
"version_major": 2,
|
| 2563 |
-
"version_minor": 0
|
| 2564 |
-
},
|
| 2565 |
-
"text/plain": [
|
| 2566 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2567 |
-
]
|
| 2568 |
-
},
|
| 2569 |
-
"metadata": {},
|
| 2570 |
-
"output_type": "display_data"
|
| 2571 |
-
},
|
| 2572 |
-
{
|
| 2573 |
-
"data": {
|
| 2574 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2575 |
-
"model_id": "a89cf66c33be4b7fbecb8f31a8c3a1ed",
|
| 2576 |
-
"version_major": 2,
|
| 2577 |
-
"version_minor": 0
|
| 2578 |
-
},
|
| 2579 |
-
"text/plain": [
|
| 2580 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2581 |
-
]
|
| 2582 |
-
},
|
| 2583 |
-
"metadata": {},
|
| 2584 |
-
"output_type": "display_data"
|
| 2585 |
-
},
|
| 2586 |
-
{
|
| 2587 |
-
"data": {
|
| 2588 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2589 |
-
"model_id": "85c3f4936b4e4c25a0ae8f64ff75fcd2",
|
| 2590 |
-
"version_major": 2,
|
| 2591 |
-
"version_minor": 0
|
| 2592 |
-
},
|
| 2593 |
-
"text/plain": [
|
| 2594 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2595 |
-
]
|
| 2596 |
-
},
|
| 2597 |
-
"metadata": {},
|
| 2598 |
-
"output_type": "display_data"
|
| 2599 |
-
},
|
| 2600 |
-
{
|
| 2601 |
-
"name": "stdout",
|
| 2602 |
-
"output_type": "stream",
|
| 2603 |
-
"text": [
|
| 2604 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2605 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2606 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2607 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2608 |
-
"run_name = 0523-2139\n",
|
| 2609 |
-
"Launching training on one GPU.\n",
|
| 2610 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2611 |
-
"51200 images can be loaded\n",
|
| 2612 |
-
"field.shape = (64, 64, 514)\n",
|
| 2613 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2614 |
-
"loading 2560 images randomly\n",
|
| 2615 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2616 |
-
"params loaded: (2560, 2)\n"
|
| 2617 |
-
]
|
| 2618 |
-
},
|
| 2619 |
-
{
|
| 2620 |
-
"name": "stderr",
|
| 2621 |
-
"output_type": "stream",
|
| 2622 |
-
"text": [
|
| 2623 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2624 |
-
]
|
| 2625 |
-
},
|
| 2626 |
-
{
|
| 2627 |
-
"name": "stdout",
|
| 2628 |
-
"output_type": "stream",
|
| 2629 |
-
"text": [
|
| 2630 |
-
"images rescaled to [-1.0, 1.1390433311462402]\n",
|
| 2631 |
-
"params rescaled to [0.0, 0.9998792950082773]\n"
|
| 2632 |
-
]
|
| 2633 |
-
},
|
| 2634 |
-
{
|
| 2635 |
-
"data": {
|
| 2636 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2637 |
-
"model_id": "5d1d0f12b66b44a98d93df6f167eb798",
|
| 2638 |
-
"version_major": 2,
|
| 2639 |
-
"version_minor": 0
|
| 2640 |
-
},
|
| 2641 |
-
"text/plain": [
|
| 2642 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2643 |
-
]
|
| 2644 |
-
},
|
| 2645 |
-
"metadata": {},
|
| 2646 |
-
"output_type": "display_data"
|
| 2647 |
-
},
|
| 2648 |
-
{
|
| 2649 |
-
"data": {
|
| 2650 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2651 |
-
"model_id": "e448d1627f59445b9e1ca975f696f325",
|
| 2652 |
-
"version_major": 2,
|
| 2653 |
-
"version_minor": 0
|
| 2654 |
-
},
|
| 2655 |
-
"text/plain": [
|
| 2656 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2657 |
-
]
|
| 2658 |
-
},
|
| 2659 |
-
"metadata": {},
|
| 2660 |
-
"output_type": "display_data"
|
| 2661 |
-
},
|
| 2662 |
-
{
|
| 2663 |
-
"data": {
|
| 2664 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2665 |
-
"model_id": "3b49e399aaff441b800140ff01ab5dbf",
|
| 2666 |
-
"version_major": 2,
|
| 2667 |
-
"version_minor": 0
|
| 2668 |
-
},
|
| 2669 |
-
"text/plain": [
|
| 2670 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2671 |
-
]
|
| 2672 |
-
},
|
| 2673 |
-
"metadata": {},
|
| 2674 |
-
"output_type": "display_data"
|
| 2675 |
-
},
|
| 2676 |
-
{
|
| 2677 |
-
"data": {
|
| 2678 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2679 |
-
"model_id": "94e9bf8810f3489a8602f1f0e66ebe81",
|
| 2680 |
-
"version_major": 2,
|
| 2681 |
-
"version_minor": 0
|
| 2682 |
-
},
|
| 2683 |
-
"text/plain": [
|
| 2684 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2685 |
-
]
|
| 2686 |
-
},
|
| 2687 |
-
"metadata": {},
|
| 2688 |
-
"output_type": "display_data"
|
| 2689 |
-
},
|
| 2690 |
-
{
|
| 2691 |
-
"data": {
|
| 2692 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2693 |
-
"model_id": "99b8d2db692d4da5a59e53d86784f80f",
|
| 2694 |
-
"version_major": 2,
|
| 2695 |
-
"version_minor": 0
|
| 2696 |
-
},
|
| 2697 |
-
"text/plain": [
|
| 2698 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2699 |
-
]
|
| 2700 |
-
},
|
| 2701 |
-
"metadata": {},
|
| 2702 |
-
"output_type": "display_data"
|
| 2703 |
-
},
|
| 2704 |
-
{
|
| 2705 |
-
"name": "stdout",
|
| 2706 |
-
"output_type": "stream",
|
| 2707 |
-
"text": [
|
| 2708 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2709 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2710 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2711 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2712 |
-
"run_name = 0523-2152\n",
|
| 2713 |
-
"Launching training on one GPU.\n",
|
| 2714 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2715 |
-
"51200 images can be loaded\n",
|
| 2716 |
-
"field.shape = (64, 64, 514)\n",
|
| 2717 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2718 |
-
"loading 2560 images randomly\n",
|
| 2719 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2720 |
-
"params loaded: (2560, 2)\n"
|
| 2721 |
-
]
|
| 2722 |
-
},
|
| 2723 |
-
{
|
| 2724 |
-
"name": "stderr",
|
| 2725 |
-
"output_type": "stream",
|
| 2726 |
-
"text": [
|
| 2727 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2728 |
-
]
|
| 2729 |
-
},
|
| 2730 |
-
{
|
| 2731 |
-
"name": "stdout",
|
| 2732 |
-
"output_type": "stream",
|
| 2733 |
-
"text": [
|
| 2734 |
-
"images rescaled to [-1.0, 1.1287531852722168]\n",
|
| 2735 |
-
"params rescaled to [0.0, 0.9998308420008604]\n"
|
| 2736 |
-
]
|
| 2737 |
-
},
|
| 2738 |
-
{
|
| 2739 |
-
"data": {
|
| 2740 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2741 |
-
"model_id": "c89db69e70004f96b0c3fd0dbfecc982",
|
| 2742 |
-
"version_major": 2,
|
| 2743 |
-
"version_minor": 0
|
| 2744 |
-
},
|
| 2745 |
-
"text/plain": [
|
| 2746 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2747 |
-
]
|
| 2748 |
-
},
|
| 2749 |
-
"metadata": {},
|
| 2750 |
-
"output_type": "display_data"
|
| 2751 |
-
},
|
| 2752 |
-
{
|
| 2753 |
-
"data": {
|
| 2754 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2755 |
-
"model_id": "7a6b928f39754b54814ba2d2e64dae0d",
|
| 2756 |
-
"version_major": 2,
|
| 2757 |
-
"version_minor": 0
|
| 2758 |
-
},
|
| 2759 |
-
"text/plain": [
|
| 2760 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2761 |
-
]
|
| 2762 |
-
},
|
| 2763 |
-
"metadata": {},
|
| 2764 |
-
"output_type": "display_data"
|
| 2765 |
-
},
|
| 2766 |
-
{
|
| 2767 |
-
"data": {
|
| 2768 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2769 |
-
"model_id": "3a7438ed1f5046eba8ef434da4fb06c8",
|
| 2770 |
-
"version_major": 2,
|
| 2771 |
-
"version_minor": 0
|
| 2772 |
-
},
|
| 2773 |
-
"text/plain": [
|
| 2774 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2775 |
-
]
|
| 2776 |
-
},
|
| 2777 |
-
"metadata": {},
|
| 2778 |
-
"output_type": "display_data"
|
| 2779 |
-
},
|
| 2780 |
-
{
|
| 2781 |
-
"data": {
|
| 2782 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2783 |
-
"model_id": "24e120b38258458387bc6ed83b936ccc",
|
| 2784 |
-
"version_major": 2,
|
| 2785 |
-
"version_minor": 0
|
| 2786 |
-
},
|
| 2787 |
-
"text/plain": [
|
| 2788 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2789 |
-
]
|
| 2790 |
-
},
|
| 2791 |
-
"metadata": {},
|
| 2792 |
-
"output_type": "display_data"
|
| 2793 |
-
},
|
| 2794 |
-
{
|
| 2795 |
-
"data": {
|
| 2796 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2797 |
-
"model_id": "f836598581a64f659885431f41f831fa",
|
| 2798 |
-
"version_major": 2,
|
| 2799 |
-
"version_minor": 0
|
| 2800 |
-
},
|
| 2801 |
-
"text/plain": [
|
| 2802 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2803 |
-
]
|
| 2804 |
-
},
|
| 2805 |
-
"metadata": {},
|
| 2806 |
-
"output_type": "display_data"
|
| 2807 |
-
},
|
| 2808 |
-
{
|
| 2809 |
-
"name": "stdout",
|
| 2810 |
-
"output_type": "stream",
|
| 2811 |
-
"text": [
|
| 2812 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2813 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2814 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2815 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2816 |
-
"run_name = 0523-2206\n",
|
| 2817 |
-
"Launching training on one GPU.\n",
|
| 2818 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2819 |
-
"51200 images can be loaded\n",
|
| 2820 |
-
"field.shape = (64, 64, 514)\n",
|
| 2821 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2822 |
-
"loading 2560 images randomly\n",
|
| 2823 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2824 |
-
"params loaded: (2560, 2)\n"
|
| 2825 |
-
]
|
| 2826 |
-
},
|
| 2827 |
-
{
|
| 2828 |
-
"name": "stderr",
|
| 2829 |
-
"output_type": "stream",
|
| 2830 |
-
"text": [
|
| 2831 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2832 |
-
]
|
| 2833 |
-
},
|
| 2834 |
-
{
|
| 2835 |
-
"name": "stdout",
|
| 2836 |
-
"output_type": "stream",
|
| 2837 |
-
"text": [
|
| 2838 |
-
"images rescaled to [-1.0, 1.1427810192108154]\n",
|
| 2839 |
-
"params rescaled to [0.0, 0.9998776959999316]\n"
|
| 2840 |
-
]
|
| 2841 |
-
},
|
| 2842 |
-
{
|
| 2843 |
-
"data": {
|
| 2844 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2845 |
-
"model_id": "8b674229c8c947429b8df535de3190cb",
|
| 2846 |
-
"version_major": 2,
|
| 2847 |
-
"version_minor": 0
|
| 2848 |
-
},
|
| 2849 |
-
"text/plain": [
|
| 2850 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2851 |
-
]
|
| 2852 |
-
},
|
| 2853 |
-
"metadata": {},
|
| 2854 |
-
"output_type": "display_data"
|
| 2855 |
-
},
|
| 2856 |
-
{
|
| 2857 |
-
"data": {
|
| 2858 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2859 |
-
"model_id": "53992ce9d55541b18c5ae71903f592aa",
|
| 2860 |
-
"version_major": 2,
|
| 2861 |
-
"version_minor": 0
|
| 2862 |
-
},
|
| 2863 |
-
"text/plain": [
|
| 2864 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2865 |
-
]
|
| 2866 |
-
},
|
| 2867 |
-
"metadata": {},
|
| 2868 |
-
"output_type": "display_data"
|
| 2869 |
-
},
|
| 2870 |
-
{
|
| 2871 |
-
"data": {
|
| 2872 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2873 |
-
"model_id": "e50b3163a0d44abbbc6156a157f9b4f5",
|
| 2874 |
-
"version_major": 2,
|
| 2875 |
-
"version_minor": 0
|
| 2876 |
-
},
|
| 2877 |
-
"text/plain": [
|
| 2878 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2879 |
-
]
|
| 2880 |
-
},
|
| 2881 |
-
"metadata": {},
|
| 2882 |
-
"output_type": "display_data"
|
| 2883 |
-
},
|
| 2884 |
-
{
|
| 2885 |
-
"data": {
|
| 2886 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2887 |
-
"model_id": "dd6c0f93b72d4a06a5b8bfc639cab941",
|
| 2888 |
-
"version_major": 2,
|
| 2889 |
-
"version_minor": 0
|
| 2890 |
-
},
|
| 2891 |
-
"text/plain": [
|
| 2892 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2893 |
-
]
|
| 2894 |
-
},
|
| 2895 |
-
"metadata": {},
|
| 2896 |
-
"output_type": "display_data"
|
| 2897 |
-
},
|
| 2898 |
-
{
|
| 2899 |
-
"data": {
|
| 2900 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2901 |
-
"model_id": "a2997d2f381a475bb3be935bda0affaf",
|
| 2902 |
-
"version_major": 2,
|
| 2903 |
-
"version_minor": 0
|
| 2904 |
-
},
|
| 2905 |
-
"text/plain": [
|
| 2906 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2907 |
-
]
|
| 2908 |
-
},
|
| 2909 |
-
"metadata": {},
|
| 2910 |
-
"output_type": "display_data"
|
| 2911 |
-
},
|
| 2912 |
-
{
|
| 2913 |
-
"name": "stdout",
|
| 2914 |
-
"output_type": "stream",
|
| 2915 |
-
"text": [
|
| 2916 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 2917 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 2918 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 2919 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 2920 |
-
"run_name = 0523-2220\n",
|
| 2921 |
-
"Launching training on one GPU.\n",
|
| 2922 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 2923 |
-
"51200 images can be loaded\n",
|
| 2924 |
-
"field.shape = (64, 64, 514)\n",
|
| 2925 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 2926 |
-
"loading 2560 images randomly\n",
|
| 2927 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 2928 |
-
"params loaded: (2560, 2)\n"
|
| 2929 |
-
]
|
| 2930 |
-
},
|
| 2931 |
-
{
|
| 2932 |
-
"name": "stderr",
|
| 2933 |
-
"output_type": "stream",
|
| 2934 |
-
"text": [
|
| 2935 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 2936 |
-
]
|
| 2937 |
-
},
|
| 2938 |
-
{
|
| 2939 |
-
"name": "stdout",
|
| 2940 |
-
"output_type": "stream",
|
| 2941 |
-
"text": [
|
| 2942 |
-
"images rescaled to [-1.0, 1.1919512748718262]\n",
|
| 2943 |
-
"params rescaled to [0.0, 0.9998792950082773]\n"
|
| 2944 |
-
]
|
| 2945 |
-
},
|
| 2946 |
-
{
|
| 2947 |
-
"data": {
|
| 2948 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2949 |
-
"model_id": "e36124f768654eb7b513027824704aa5",
|
| 2950 |
-
"version_major": 2,
|
| 2951 |
-
"version_minor": 0
|
| 2952 |
-
},
|
| 2953 |
-
"text/plain": [
|
| 2954 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2955 |
-
]
|
| 2956 |
-
},
|
| 2957 |
-
"metadata": {},
|
| 2958 |
-
"output_type": "display_data"
|
| 2959 |
-
},
|
| 2960 |
-
{
|
| 2961 |
-
"data": {
|
| 2962 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2963 |
-
"model_id": "d966288d32f1453c84a5f3aa522b8cc2",
|
| 2964 |
-
"version_major": 2,
|
| 2965 |
-
"version_minor": 0
|
| 2966 |
-
},
|
| 2967 |
-
"text/plain": [
|
| 2968 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2969 |
-
]
|
| 2970 |
-
},
|
| 2971 |
-
"metadata": {},
|
| 2972 |
-
"output_type": "display_data"
|
| 2973 |
-
},
|
| 2974 |
-
{
|
| 2975 |
-
"data": {
|
| 2976 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2977 |
-
"model_id": "18a335f3063e409e9478cd9b515d4ea3",
|
| 2978 |
-
"version_major": 2,
|
| 2979 |
-
"version_minor": 0
|
| 2980 |
-
},
|
| 2981 |
-
"text/plain": [
|
| 2982 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2983 |
-
]
|
| 2984 |
-
},
|
| 2985 |
-
"metadata": {},
|
| 2986 |
-
"output_type": "display_data"
|
| 2987 |
-
},
|
| 2988 |
-
{
|
| 2989 |
-
"data": {
|
| 2990 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 2991 |
-
"model_id": "d55d47f541994944b84fee1e1212dca4",
|
| 2992 |
-
"version_major": 2,
|
| 2993 |
-
"version_minor": 0
|
| 2994 |
-
},
|
| 2995 |
-
"text/plain": [
|
| 2996 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 2997 |
-
]
|
| 2998 |
-
},
|
| 2999 |
-
"metadata": {},
|
| 3000 |
-
"output_type": "display_data"
|
| 3001 |
-
},
|
| 3002 |
-
{
|
| 3003 |
-
"data": {
|
| 3004 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3005 |
-
"model_id": "a23b7fba56124a4f8fdd357ad344e68c",
|
| 3006 |
-
"version_major": 2,
|
| 3007 |
-
"version_minor": 0
|
| 3008 |
-
},
|
| 3009 |
-
"text/plain": [
|
| 3010 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3011 |
-
]
|
| 3012 |
-
},
|
| 3013 |
-
"metadata": {},
|
| 3014 |
-
"output_type": "display_data"
|
| 3015 |
-
},
|
| 3016 |
-
{
|
| 3017 |
-
"name": "stdout",
|
| 3018 |
-
"output_type": "stream",
|
| 3019 |
-
"text": [
|
| 3020 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 3021 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 3022 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 3023 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 3024 |
-
"run_name = 0523-2233\n",
|
| 3025 |
-
"Launching training on one GPU.\n",
|
| 3026 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 3027 |
-
"51200 images can be loaded\n",
|
| 3028 |
-
"field.shape = (64, 64, 514)\n",
|
| 3029 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 3030 |
-
"loading 2560 images randomly\n",
|
| 3031 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 3032 |
-
"params loaded: (2560, 2)\n"
|
| 3033 |
-
]
|
| 3034 |
-
},
|
| 3035 |
-
{
|
| 3036 |
-
"name": "stderr",
|
| 3037 |
-
"output_type": "stream",
|
| 3038 |
-
"text": [
|
| 3039 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 3040 |
-
]
|
| 3041 |
-
},
|
| 3042 |
-
{
|
| 3043 |
-
"name": "stdout",
|
| 3044 |
-
"output_type": "stream",
|
| 3045 |
-
"text": [
|
| 3046 |
-
"images rescaled to [-1.0, 1.213691234588623]\n",
|
| 3047 |
-
"params rescaled to [0.0, 0.9999290410760016]\n"
|
| 3048 |
-
]
|
| 3049 |
-
},
|
| 3050 |
-
{
|
| 3051 |
-
"data": {
|
| 3052 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3053 |
-
"model_id": "4c2ca74b0ce2473b81c0153184216b38",
|
| 3054 |
-
"version_major": 2,
|
| 3055 |
-
"version_minor": 0
|
| 3056 |
-
},
|
| 3057 |
-
"text/plain": [
|
| 3058 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3059 |
-
]
|
| 3060 |
-
},
|
| 3061 |
-
"metadata": {},
|
| 3062 |
-
"output_type": "display_data"
|
| 3063 |
-
},
|
| 3064 |
-
{
|
| 3065 |
-
"data": {
|
| 3066 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3067 |
-
"model_id": "bc1199c1d06b45e58264ad46db2bbb6a",
|
| 3068 |
-
"version_major": 2,
|
| 3069 |
-
"version_minor": 0
|
| 3070 |
-
},
|
| 3071 |
-
"text/plain": [
|
| 3072 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3073 |
-
]
|
| 3074 |
-
},
|
| 3075 |
-
"metadata": {},
|
| 3076 |
-
"output_type": "display_data"
|
| 3077 |
-
},
|
| 3078 |
-
{
|
| 3079 |
-
"data": {
|
| 3080 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3081 |
-
"model_id": "32b7fd927bfe413abf11343decf13b12",
|
| 3082 |
-
"version_major": 2,
|
| 3083 |
-
"version_minor": 0
|
| 3084 |
-
},
|
| 3085 |
-
"text/plain": [
|
| 3086 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3087 |
-
]
|
| 3088 |
-
},
|
| 3089 |
-
"metadata": {},
|
| 3090 |
-
"output_type": "display_data"
|
| 3091 |
-
},
|
| 3092 |
-
{
|
| 3093 |
-
"data": {
|
| 3094 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3095 |
-
"model_id": "5f8ceda69bbe45a8be3718d768077cdf",
|
| 3096 |
-
"version_major": 2,
|
| 3097 |
-
"version_minor": 0
|
| 3098 |
-
},
|
| 3099 |
-
"text/plain": [
|
| 3100 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3101 |
-
]
|
| 3102 |
-
},
|
| 3103 |
-
"metadata": {},
|
| 3104 |
-
"output_type": "display_data"
|
| 3105 |
-
},
|
| 3106 |
-
{
|
| 3107 |
-
"data": {
|
| 3108 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3109 |
-
"model_id": "5ad2c00fc9ac465192f45208badd00f8",
|
| 3110 |
-
"version_major": 2,
|
| 3111 |
-
"version_minor": 0
|
| 3112 |
-
},
|
| 3113 |
-
"text/plain": [
|
| 3114 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3115 |
-
]
|
| 3116 |
-
},
|
| 3117 |
-
"metadata": {},
|
| 3118 |
-
"output_type": "display_data"
|
| 3119 |
-
},
|
| 3120 |
-
{
|
| 3121 |
-
"name": "stdout",
|
| 3122 |
-
"output_type": "stream",
|
| 3123 |
-
"text": [
|
| 3124 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 3125 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 3126 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 3127 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 3128 |
-
"run_name = 0523-2247\n",
|
| 3129 |
-
"Launching training on one GPU.\n",
|
| 3130 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 3131 |
-
"51200 images can be loaded\n",
|
| 3132 |
-
"field.shape = (64, 64, 514)\n",
|
| 3133 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 3134 |
-
"loading 2560 images randomly\n",
|
| 3135 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 3136 |
-
"params loaded: (2560, 2)\n"
|
| 3137 |
-
]
|
| 3138 |
-
},
|
| 3139 |
-
{
|
| 3140 |
-
"name": "stderr",
|
| 3141 |
-
"output_type": "stream",
|
| 3142 |
-
"text": [
|
| 3143 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 3144 |
-
]
|
| 3145 |
-
},
|
| 3146 |
-
{
|
| 3147 |
-
"name": "stdout",
|
| 3148 |
-
"output_type": "stream",
|
| 3149 |
-
"text": [
|
| 3150 |
-
"images rescaled to [-1.0, 1.1904358863830566]\n",
|
| 3151 |
-
"params rescaled to [0.0, 0.9998314990826471]\n"
|
| 3152 |
-
]
|
| 3153 |
-
},
|
| 3154 |
-
{
|
| 3155 |
-
"data": {
|
| 3156 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3157 |
-
"model_id": "6d9f638bf4334cceaa3974dcd6603e9d",
|
| 3158 |
-
"version_major": 2,
|
| 3159 |
-
"version_minor": 0
|
| 3160 |
-
},
|
| 3161 |
-
"text/plain": [
|
| 3162 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3163 |
-
]
|
| 3164 |
-
},
|
| 3165 |
-
"metadata": {},
|
| 3166 |
-
"output_type": "display_data"
|
| 3167 |
-
},
|
| 3168 |
-
{
|
| 3169 |
-
"data": {
|
| 3170 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3171 |
-
"model_id": "685214e49f1d4d0caef7780278f52f42",
|
| 3172 |
-
"version_major": 2,
|
| 3173 |
-
"version_minor": 0
|
| 3174 |
-
},
|
| 3175 |
-
"text/plain": [
|
| 3176 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3177 |
-
]
|
| 3178 |
-
},
|
| 3179 |
-
"metadata": {},
|
| 3180 |
-
"output_type": "display_data"
|
| 3181 |
-
},
|
| 3182 |
-
{
|
| 3183 |
-
"data": {
|
| 3184 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3185 |
-
"model_id": "a3d56cd885c643b094c67ee090db4a56",
|
| 3186 |
-
"version_major": 2,
|
| 3187 |
-
"version_minor": 0
|
| 3188 |
-
},
|
| 3189 |
-
"text/plain": [
|
| 3190 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3191 |
-
]
|
| 3192 |
-
},
|
| 3193 |
-
"metadata": {},
|
| 3194 |
-
"output_type": "display_data"
|
| 3195 |
-
},
|
| 3196 |
-
{
|
| 3197 |
-
"data": {
|
| 3198 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3199 |
-
"model_id": "b2424352418a4efc9ae02eefa8ffe233",
|
| 3200 |
-
"version_major": 2,
|
| 3201 |
-
"version_minor": 0
|
| 3202 |
-
},
|
| 3203 |
-
"text/plain": [
|
| 3204 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3205 |
-
]
|
| 3206 |
-
},
|
| 3207 |
-
"metadata": {},
|
| 3208 |
-
"output_type": "display_data"
|
| 3209 |
-
},
|
| 3210 |
-
{
|
| 3211 |
-
"data": {
|
| 3212 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 3213 |
-
"model_id": "52566845ab1f42ca927d4c24cf2a3863",
|
| 3214 |
-
"version_major": 2,
|
| 3215 |
-
"version_minor": 0
|
| 3216 |
-
},
|
| 3217 |
-
"text/plain": [
|
| 3218 |
-
" 0%| | 0/256 [00:00<?, ?it/s]"
|
| 3219 |
-
]
|
| 3220 |
-
},
|
| 3221 |
-
"metadata": {},
|
| 3222 |
-
"output_type": "display_data"
|
| 3223 |
-
},
|
| 3224 |
-
{
|
| 3225 |
-
"name": "stdout",
|
| 3226 |
-
"output_type": "stream",
|
| 3227 |
-
"text": [
|
| 3228 |
-
"saved model at ./outputs/model_state.pth\n",
|
| 3229 |
-
"resumed nn_model from ./outputs/model_state.pth\n",
|
| 3230 |
-
"Number of parameters for nn_model: 111048705\n",
|
| 3231 |
-
"resumed ema_model from ./outputs/model_state.pth\n",
|
| 3232 |
-
"run_name = 0523-2301\n",
|
| 3233 |
-
"Launching training on one GPU.\n",
|
| 3234 |
-
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 3235 |
-
"51200 images can be loaded\n",
|
| 3236 |
-
"field.shape = (64, 64, 514)\n",
|
| 3237 |
-
"params keys = [b'ION_Tvir_MIN', b'HII_EFF_FACTOR']\n",
|
| 3238 |
-
"loading 2560 images randomly\n",
|
| 3239 |
-
"images loaded: (2560, 1, 64, 512)\n",
|
| 3240 |
-
"params loaded: (2560, 2)\n"
|
| 3241 |
-
]
|
| 3242 |
-
},
|
| 3243 |
-
{
|
| 3244 |
-
"name": "stderr",
|
| 3245 |
-
"output_type": "stream",
|
| 3246 |
-
"text": [
|
| 3247 |
-
"Detected kernel version 3.10.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
|
| 3248 |
-
]
|
| 3249 |
-
},
|
| 3250 |
-
{
|
| 3251 |
-
"name": "stdout",
|
| 3252 |
-
"output_type": "stream",
|
| 3253 |
-
"text": [
|
| 3254 |
-
"images rescaled to [-1.0, 1.213691234588623]\n",
|
| 3255 |
-
"params rescaled to [0.0, 0.9998792950082773]\n"
|
| 3256 |
-
]
|
| 3257 |
-
},
|
| 3258 |
{
|
| 3259 |
"data": {
|
| 3260 |
"application/vnd.jupyter.widget-view+json": {
|
| 3261 |
-
"model_id": "
|
| 3262 |
"version_major": 2,
|
| 3263 |
"version_minor": 0
|
| 3264 |
},
|
|
@@ -3272,7 +710,7 @@
|
|
| 3272 |
{
|
| 3273 |
"data": {
|
| 3274 |
"application/vnd.jupyter.widget-view+json": {
|
| 3275 |
-
"model_id": "
|
| 3276 |
"version_major": 2,
|
| 3277 |
"version_minor": 0
|
| 3278 |
},
|
|
@@ -3286,7 +724,7 @@
|
|
| 3286 |
{
|
| 3287 |
"data": {
|
| 3288 |
"application/vnd.jupyter.widget-view+json": {
|
| 3289 |
-
"model_id": "
|
| 3290 |
"version_major": 2,
|
| 3291 |
"version_minor": 0
|
| 3292 |
},
|
|
@@ -3300,7 +738,7 @@
|
|
| 3300 |
{
|
| 3301 |
"data": {
|
| 3302 |
"application/vnd.jupyter.widget-view+json": {
|
| 3303 |
-
"model_id": "
|
| 3304 |
"version_major": 2,
|
| 3305 |
"version_minor": 0
|
| 3306 |
},
|
|
@@ -3314,7 +752,7 @@
|
|
| 3314 |
{
|
| 3315 |
"data": {
|
| 3316 |
"application/vnd.jupyter.widget-view+json": {
|
| 3317 |
-
"model_id": "
|
| 3318 |
"version_major": 2,
|
| 3319 |
"version_minor": 0
|
| 3320 |
},
|
|
@@ -3329,8 +767,8 @@
|
|
| 3329 |
"source": [
|
| 3330 |
"if __name__ == \"__main__\":\n",
|
| 3331 |
" # args = (config, nn_model, ddpm, optimizer, dataloader, lr_scheduler)\n",
|
| 3332 |
-
"
|
| 3333 |
-
" for i in range(
|
| 3334 |
" print(f\" round {i} \".center(50, '-'))\n",
|
| 3335 |
" ddpm21cm = DDPM21CM()\n",
|
| 3336 |
" print(f\"run_name = {ddpm21cm.config.run_name}\")\n",
|
|
|
|
| 23 |
"- 生成的21cm圖像該暗的地方不夠暗，似乎換成MNIST的數字圖像就沒問題\n",
|
| 24 |
"- 我用diffusion模型生成MNIST的數字時發現，儘管生成的數據的範圍也存在負數數值，如-0.1,但畫出來的圖像卻是理想的黑色。數據的分佈與21cm的結果的分佈沒多大差別，我現在打算把代碼退回到21cm的情形\n",
|
| 25 |
"- 我統一了ddpm21cm這個module，能統一實現訓練和生成樣本，但目前有個bug， sample時總是會cuda out of memory，然而單獨resume model並sample就不會。\n",
|
| 26 |
+
"- 解決了，問題出在我忘了寫with torch.no_grad():\n",
|
| 27 |
+
"- 接下來就是生成800個lightcones，與此同時研究如何計算global signal以及power spectrum"
|
| 28 |
]
|
| 29 |
},
|
| 30 |
{
|
|
|
|
| 246 |
" dim = 2\n",
|
| 247 |
" stride = (2,2) if dim == 2 else (2,2,4)\n",
|
| 248 |
" num_image = 2560\n",
|
| 249 |
+
" batch_size = 10#20#2#100 # 10\n",
|
| 250 |
+
" n_epoch = 15#2#5#25 # 120\n",
|
| 251 |
" HII_DIM = 64\n",
|
| 252 |
" num_redshift = 512#256#256#64#512#128\n",
|
| 253 |
" channel = 1\n",
|
| 254 |
" img_shape = (channel, HII_DIM, num_redshift) if dim == 2 else (channel, HII_DIM, HII_DIM, num_redshift)\n",
|
| 255 |
"\n",
|
|
|
|
| 256 |
" num_timesteps = 1000#1000 # 1000, 500; DDPM time steps\n",
|
|
|
|
| 257 |
" # n_sample = 24 # 64, the number of samples in sampling process\n",
|
| 258 |
" n_param = 2\n",
|
| 259 |
" guide_w = 0#-1#0#-1#0.1#[0,0.1] #[0,0.5,2] strength of generative guidance\n",
|
|
|
|
| 500 |
{
|
| 501 |
"data": {
|
| 502 |
"application/vnd.jupyter.widget-view+json": {
|
| 503 |
+
"model_id": "1b047db9da3f478c89bbe1d9498fda48",
|
| 504 |
"version_major": 2,
|
| 505 |
"version_minor": 0
|
| 506 |
},
|
|
|
|
| 525 |
"name": "stdout",
|
| 526 |
"output_type": "stream",
|
| 527 |
"text": [
|
| 528 |
+
"-------------------- round 0 ---------------------\n",
|
| 529 |
"Number of parameters for nn_model: 111048705\n",
|
| 530 |
+
"run_name = 0524-1428\n",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 531 |
"Launching training on one GPU.\n",
|
| 532 |
"dataset content: <KeysViewHDF5 ['brightness_temp', 'density', 'kwargs', 'params', 'redshifts_distances', 'seeds', 'xH_box']>\n",
|
| 533 |
"51200 images can be loaded\n",
|
|
|
|
| 549 |
"name": "stdout",
|
| 550 |
"output_type": "stream",
|
| 551 |
"text": [
|
| 552 |
+
"images rescaled to [-1.0, 1.1512236595153809]\n",
|
| 553 |
+
"params rescaled to [0.0, 0.9998792950082773]\n"
|
| 554 |
]
|
| 555 |
},
|
| 556 |
{
|
| 557 |
"data": {
|
| 558 |
"application/vnd.jupyter.widget-view+json": {
|
| 559 |
+
"model_id": "a5df243192c54bd1bb5ba196baa351f3",
|
| 560 |
"version_major": 2,
|
| 561 |
"version_minor": 0
|
| 562 |
},
|
|
|
|
| 570 |
{
|
| 571 |
"data": {
|
| 572 |
"application/vnd.jupyter.widget-view+json": {
|
| 573 |
+
"model_id": "559ce20a8b144bcfbf5c020c67e3401e",
|
| 574 |
"version_major": 2,
|
| 575 |
"version_minor": 0
|
| 576 |
},
|
|
|
|
| 584 |
{
|
| 585 |
"data": {
|
| 586 |
"application/vnd.jupyter.widget-view+json": {
|
| 587 |
+
"model_id": "c7d7b40b62fc4fbda05fc94a9a4ccc89",
|
| 588 |
"version_major": 2,
|
| 589 |
"version_minor": 0
|
| 590 |
},
|
|
|
|
| 598 |
{
|
| 599 |
"data": {
|
| 600 |
"application/vnd.jupyter.widget-view+json": {
|
| 601 |
+
"model_id": "320a56dcad2942e3a731a8dfdb025023",
|
| 602 |
"version_major": 2,
|
| 603 |
"version_minor": 0
|
| 604 |
},
|
|
|
|
| 612 |
{
|
| 613 |
"data": {
|
| 614 |
"application/vnd.jupyter.widget-view+json": {
|
| 615 |
+
"model_id": "0903f2c1240746a88dedc3ecafd208d8",
|
| 616 |
"version_major": 2,
|
| 617 |
"version_minor": 0
|
| 618 |
},
|
|
|
|
| 623 |
"metadata": {},
|
| 624 |
"output_type": "display_data"
|
| 625 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 626 |
{
|
| 627 |
"data": {
|
| 628 |
"application/vnd.jupyter.widget-view+json": {
|
| 629 |
+
"model_id": "efeac000ea604f8c83e156588ec210ff",
|
| 630 |
"version_major": 2,
|
| 631 |
"version_minor": 0
|
| 632 |
},
|
|
|
|
| 640 |
{
|
| 641 |
"data": {
|
| 642 |
"application/vnd.jupyter.widget-view+json": {
|
| 643 |
+
"model_id": "9db9e0504ca34c0baf38c6c43415c5f1",
|
| 644 |
"version_major": 2,
|
| 645 |
"version_minor": 0
|
| 646 |
},
|
|
|
|
| 654 |
{
|
| 655 |
"data": {
|
| 656 |
"application/vnd.jupyter.widget-view+json": {
|
| 657 |
+
"model_id": "48704a76b51c40339710c48c14c72099",
|
| 658 |
"version_major": 2,
|
| 659 |
"version_minor": 0
|
| 660 |
},
|
|
|
|
| 668 |
{
|
| 669 |
"data": {
|
| 670 |
"application/vnd.jupyter.widget-view+json": {
|
| 671 |
+
"model_id": "346a27338dc7469590b317c8c34971cc",
|
| 672 |
"version_major": 2,
|
| 673 |
"version_minor": 0
|
| 674 |
},
|
|
|
|
| 682 |
{
|
| 683 |
"data": {
|
| 684 |
"application/vnd.jupyter.widget-view+json": {
|
| 685 |
+
"model_id": "8f57a973568f4be7995e8f63a7dab56f",
|
| 686 |
"version_major": 2,
|
| 687 |
"version_minor": 0
|
| 688 |
},
|
|
|
|
| 693 |
"metadata": {},
|
| 694 |
"output_type": "display_data"
|
| 695 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 696 |
{
|
| 697 |
"data": {
|
| 698 |
"application/vnd.jupyter.widget-view+json": {
|
| 699 |
+
"model_id": "701bfc1b8b5c4123bf0357c0061ec20f",
|
| 700 |
"version_major": 2,
|
| 701 |
"version_minor": 0
|
| 702 |
},
|
|
|
|
| 710 |
{
|
| 711 |
"data": {
|
| 712 |
"application/vnd.jupyter.widget-view+json": {
|
| 713 |
+
"model_id": "352e6ba0e42f4e52b12996ae25f5733a",
|
| 714 |
"version_major": 2,
|
| 715 |
"version_minor": 0
|
| 716 |
},
|
|
|
|
| 724 |
{
|
| 725 |
"data": {
|
| 726 |
"application/vnd.jupyter.widget-view+json": {
|
| 727 |
+
"model_id": "2c522e4048e44a989d4320a2fec5aa07",
|
| 728 |
"version_major": 2,
|
| 729 |
"version_minor": 0
|
| 730 |
},
|
|
|
|
| 738 |
{
|
| 739 |
"data": {
|
| 740 |
"application/vnd.jupyter.widget-view+json": {
|
| 741 |
+
"model_id": "a78ce720b67f49b59be00bc3d04c28d1",
|
| 742 |
"version_major": 2,
|
| 743 |
"version_minor": 0
|
| 744 |
},
|
|
|
|
| 752 |
{
|
| 753 |
"data": {
|
| 754 |
"application/vnd.jupyter.widget-view+json": {
|
| 755 |
+
"model_id": "811be410babb47e5a09cc33e80b4756c",
|
| 756 |
"version_major": 2,
|
| 757 |
"version_minor": 0
|
| 758 |
},
|
|
|
|
| 767 |
"source": [
|
| 768 |
"if __name__ == \"__main__\":\n",
|
| 769 |
" # args = (config, nn_model, ddpm, optimizer, dataloader, lr_scheduler)\n",
|
| 770 |
+
" num_round = 10\n",
|
| 771 |
+
" for i in range(num_round):\n",
|
| 772 |
" print(f\" round {i} \".center(50, '-'))\n",
|
| 773 |
" ddpm21cm = DDPM21CM()\n",
|
| 774 |
" print(f\"run_name = {ddpm21cm.config.run_name}\")\n",
|
load_h5.py
CHANGED
|
@@ -104,14 +104,17 @@ class Dataset4h5(Dataset):
|
|
| 104 |
return img
|
| 105 |
|
| 106 |
def rescale(self, value, to: list):
|
| 107 |
-
# print(np.ndim(value))
|
|
|
|
| 108 |
if np.ndim(value)==2:
|
| 109 |
# print(f"rescale params of shape {value.shape}")
|
| 110 |
ranges = \
|
| 111 |
{
|
| 112 |
0: [4, 6], # ION_Tvir_MIN
|
| 113 |
1: [10, 250], # HII_EFF_FACTOR
|
|
|
|
| 114 |
}
|
|
|
|
| 115 |
# elif np.ndim(value)==5:
|
| 116 |
else:
|
| 117 |
# value = np.array(value)
|
|
@@ -123,7 +126,7 @@ class Dataset4h5(Dataset):
|
|
| 123 |
# print(f"value.min = {value.min()}, value.max = {value.max()}")
|
| 124 |
for i in range(np.shape(value)[1]):
|
| 125 |
value[:,i] = (value[:,i] - ranges[i][0]) / (ranges[i][1]-ranges[i][0])
|
| 126 |
-
|
| 127 |
value = value * (to[1]-to[0]) + to[0]
|
| 128 |
return value
|
| 129 |
|
|
|
|
| 104 |
return img
|
| 105 |
|
| 106 |
def rescale(self, value, to: list):
|
| 107 |
+
# print("value.ndim =", np.ndim(value))
|
| 108 |
+
# print('value.shape =', value.shape)
|
| 109 |
if np.ndim(value)==2:
|
| 110 |
# print(f"rescale params of shape {value.shape}")
|
| 111 |
ranges = \
|
| 112 |
{
|
| 113 |
0: [4, 6], # ION_Tvir_MIN
|
| 114 |
1: [10, 250], # HII_EFF_FACTOR
|
| 115 |
+
# 1: [np.log10(10), np.log10(250)], # HII_EFF_FACTOR
|
| 116 |
}
|
| 117 |
+
# value[:,1] = np.log10(value[:,1])
|
| 118 |
# elif np.ndim(value)==5:
|
| 119 |
else:
|
| 120 |
# value = np.array(value)
|
|
|
|
| 126 |
# print(f"value.min = {value.min()}, value.max = {value.max()}")
|
| 127 |
for i in range(np.shape(value)[1]):
|
| 128 |
value[:,i] = (value[:,i] - ranges[i][0]) / (ranges[i][1]-ranges[i][0])
|
| 129 |
+
# print(f"i = {i}, value.min = {value[:,i].min()}, value.max = {value[:,i].max()}")
|
| 130 |
value = value * (to[1]-to[0]) + to[0]
|
| 131 |
return value
|
| 132 |
|
quantify_results.ipynb
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|