|
36 | 36 | }, |
37 | 37 | { |
38 | 38 | "cell_type": "code", |
39 | | - "execution_count": 19, |
| 39 | + "execution_count": 1, |
40 | 40 | "id": "efcd04b9", |
41 | 41 | "metadata": {}, |
42 | 42 | "outputs": [], |
|
55 | 55 | }, |
56 | 56 | { |
57 | 57 | "cell_type": "code", |
58 | | - "execution_count": 20, |
| 58 | + "execution_count": 2, |
59 | 59 | "id": "86ee1f12", |
60 | 60 | "metadata": {}, |
61 | | - "outputs": [], |
| 61 | + "outputs": [ |
| 62 | + { |
| 63 | + "name": "stderr", |
| 64 | + "output_type": "stream", |
| 65 | + "text": [ |
| 66 | + "IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n" |
| 67 | + ] |
| 68 | + }, |
| 69 | + { |
| 70 | + "name": "stdout", |
| 71 | + "output_type": "stream", |
| 72 | + "text": [ |
| 73 | + "MONAI version: 0+untagged.2891.gccd32ca\n", |
| 74 | + "Numpy version: 1.25.1\n", |
| 75 | + "Pytorch version: 2.0.1\n", |
| 76 | + "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n", |
| 77 | + "MONAI rev id: ccd32ca5e9e84562d2f388b45b6724b5c77c1f57\n", |
| 78 | + "MONAI __file__: /Users/<username>/Envs/monai/lib/python3.9/site-packages/monai/__init__.py\n", |
| 79 | + "\n", |
| 80 | + "Optional dependencies:\n", |
| 81 | + "Pytorch Ignite version: 0.4.11\n", |
| 82 | + "ITK version: 5.3.0\n", |
| 83 | + "Nibabel version: 5.1.0\n", |
| 84 | + "scikit-image version: 0.21.0\n", |
| 85 | + "scipy version: 1.11.1\n", |
| 86 | + "Pillow version: 10.0.0\n", |
| 87 | + "Tensorboard version: 2.13.0\n", |
| 88 | + "gdown version: 4.7.1\n", |
| 89 | + "TorchVision version: 0.15.2\n", |
| 90 | + "tqdm version: 4.65.0\n", |
| 91 | + "lmdb version: 1.4.1\n", |
| 92 | + "psutil version: 5.9.5\n", |
| 93 | + "pandas version: 2.0.3\n", |
| 94 | + "einops version: 0.6.1\n", |
| 95 | + "transformers version: 4.21.3\n", |
| 96 | + "mlflow version: 2.4.2\n", |
| 97 | + "pynrrd version: 1.0.0\n", |
| 98 | + "clearml version: 1.11.2rc0\n", |
| 99 | + "\n", |
| 100 | + "For details about installing the optional dependencies, please visit:\n", |
| 101 | + " https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n", |
| 102 | + "\n" |
| 103 | + ] |
| 104 | + } |
| 105 | + ], |
62 | 106 | "source": [ |
63 | 107 | "from monai.networks.nets import UNet\n", |
64 | 108 | "import monai\n", |
|
91 | 135 | }, |
92 | 136 | { |
93 | 137 | "cell_type": "code", |
94 | | - "execution_count": 21, |
| 138 | + "execution_count": 3, |
95 | 139 | "id": "fd05bcb4", |
96 | 140 | "metadata": {}, |
97 | 141 | "outputs": [ |
|
152 | 196 | ")" |
153 | 197 | ] |
154 | 198 | }, |
155 | | - "execution_count": 21, |
| 199 | + "execution_count": 3, |
156 | 200 | "metadata": {}, |
157 | 201 | "output_type": "execute_result" |
158 | 202 | } |
|
247 | 291 | }, |
248 | 292 | { |
249 | 293 | "cell_type": "code", |
250 | | - "execution_count": 22, |
| 294 | + "execution_count": 4, |
251 | 295 | "id": "37f7e0e6", |
252 | 296 | "metadata": {}, |
253 | 297 | "outputs": [], |
|
271 | 315 | }, |
272 | 316 | { |
273 | 317 | "cell_type": "code", |
274 | | - "execution_count": 23, |
| 318 | + "execution_count": 5, |
275 | 319 | "id": "0d5b0d70", |
276 | 320 | "metadata": {}, |
277 | 321 | "outputs": [ |
|
291 | 335 | }, |
292 | 336 | { |
293 | 337 | "cell_type": "code", |
294 | | - "execution_count": 24, |
| 338 | + "execution_count": 6, |
295 | 339 | "id": "3b1b4388", |
296 | 340 | "metadata": {}, |
297 | 341 | "outputs": [ |
|
329 | 373 | }, |
330 | 374 | { |
331 | 375 | "cell_type": "code", |
332 | | - "execution_count": 25, |
| 376 | + "execution_count": 7, |
333 | 377 | "id": "caece123", |
334 | 378 | "metadata": {}, |
335 | 379 | "outputs": [ |
|
348 | 392 | }, |
349 | 393 | { |
350 | 394 | "cell_type": "code", |
351 | | - "execution_count": 26, |
| 395 | + "execution_count": 8, |
352 | 396 | "id": "f67804d2", |
353 | 397 | "metadata": {}, |
354 | 398 | "outputs": [ |
|
382 | 426 | }, |
383 | 427 | { |
384 | 428 | "cell_type": "code", |
385 | | - "execution_count": 27, |
| 429 | + "execution_count": 9, |
386 | 430 | "id": "dc4be9d5", |
387 | 431 | "metadata": {}, |
388 | 432 | "outputs": [ |
389 | 433 | { |
390 | | - "data": { |
391 | | - "text/plain": [ |
392 | | - "dict_keys(['INSTANCE', 'BATCH', 'GROUP', 'LAYER', 'LOCALRESPONSE', 'SYNCBATCH'])" |
393 | | - ] |
394 | | - }, |
395 | | - "execution_count": 27, |
396 | | - "metadata": {}, |
397 | | - "output_type": "execute_result" |
| 434 | + "name": "stdout", |
| 435 | + "output_type": "stream", |
| 436 | + "text": [ |
| 437 | + "('INSTANCE', 'BATCH', 'INSTANCE_NVFUSER', 'GROUP', 'LAYER', 'LOCALRESPONSE', 'SYNCBATCH')\n" |
| 438 | + ] |
398 | 439 | } |
399 | 440 | ], |
400 | 441 | "source": [ |
401 | | - "monai.networks.layers.factories.Norm.factories.keys()" |
| 442 | + "print(monai.networks.layers.factories.Norm.names)" |
402 | 443 | ] |
403 | 444 | }, |
404 | 445 | { |
|
428 | 469 | }, |
429 | 470 | { |
430 | 471 | "cell_type": "code", |
431 | | - "execution_count": 28, |
| 472 | + "execution_count": 10, |
432 | 473 | "id": "732f2769", |
433 | 474 | "metadata": {}, |
434 | 475 | "outputs": [], |
|
461 | 502 | }, |
462 | 503 | { |
463 | 504 | "cell_type": "code", |
464 | | - "execution_count": 29, |
| 505 | + "execution_count": 11, |
465 | 506 | "id": "0a33cc15", |
466 | 507 | "metadata": {}, |
467 | 508 | "outputs": [], |
|
486 | 527 | }, |
487 | 528 | { |
488 | 529 | "cell_type": "code", |
489 | | - "execution_count": 30, |
| 530 | + "execution_count": 12, |
490 | 531 | "id": "23d75904", |
491 | 532 | "metadata": {}, |
492 | 533 | "outputs": [ |
493 | 534 | { |
494 | 535 | "data": { |
495 | 536 | "text/plain": [ |
496 | | - "tensor([[[[[-0.7587]]]]])" |
| 537 | + "tensor([[[[[-0.6150]]]]])" |
497 | 538 | ] |
498 | 539 | }, |
499 | | - "execution_count": 30, |
| 540 | + "execution_count": 12, |
500 | 541 | "metadata": {}, |
501 | 542 | "output_type": "execute_result" |
502 | 543 | } |
|
636 | 677 | }, |
637 | 678 | { |
638 | 679 | "cell_type": "code", |
639 | | - "execution_count": 31, |
| 680 | + "execution_count": 13, |
640 | 681 | "id": "1bdc5c8e", |
641 | 682 | "metadata": {}, |
642 | 683 | "outputs": [ |
|
671 | 712 | }, |
672 | 713 | { |
673 | 714 | "cell_type": "code", |
674 | | - "execution_count": 32, |
| 715 | + "execution_count": 14, |
675 | 716 | "id": "7485a83a", |
676 | 717 | "metadata": {}, |
677 | 718 | "outputs": [ |
|
702 | 743 | }, |
703 | 744 | { |
704 | 745 | "cell_type": "code", |
705 | | - "execution_count": 33, |
| 746 | + "execution_count": 15, |
706 | 747 | "id": "6a31861f", |
707 | 748 | "metadata": {}, |
708 | 749 | "outputs": [ |
|
770 | 811 | }, |
771 | 812 | { |
772 | 813 | "cell_type": "code", |
773 | | - "execution_count": 34, |
| 814 | + "execution_count": 16, |
774 | 815 | "id": "d234f140", |
775 | 816 | "metadata": {}, |
776 | 817 | "outputs": [ |
|
806 | 847 | }, |
807 | 848 | { |
808 | 849 | "cell_type": "code", |
809 | | - "execution_count": 35, |
| 850 | + "execution_count": 17, |
810 | 851 | "id": "ccf53aa1", |
811 | 852 | "metadata": {}, |
812 | 853 | "outputs": [ |
|
842 | 883 | }, |
843 | 884 | { |
844 | 885 | "cell_type": "code", |
845 | | - "execution_count": 36, |
| 886 | + "execution_count": 18, |
846 | 887 | "id": "da6e9277", |
847 | 888 | "metadata": {}, |
848 | 889 | "outputs": [ |
|
894 | 935 | "name": "python", |
895 | 936 | "nbconvert_exporter": "python", |
896 | 937 | "pygments_lexer": "ipython3", |
897 | | - "version": "3.8.10" |
| 938 | + "version": "3.9.16" |
898 | 939 | } |
899 | 940 | }, |
900 | 941 | "nbformat": 4, |
|
0 commit comments