update docs

Summary: Pull Request resolved: fairinternal/detectron2#321 Differential Revision: D18371157 Pulled By: ppwwyyxx fbshipit-source-id: 8b1c29717a23a051d272aac6271030f14a4bd344
conansherry · Nov 7, 2019 · b98cd55 · b98cd55
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diff --git a/.github/ISSUE_TEMPLATE/unexpected-problems-bugs.md b/.github/ISSUE_TEMPLATE/unexpected-problems-bugs.md
@@ -7,21 +7,23 @@ about: Report unexpected problems or bugs in detectron2
 If you do not know the root cause of the problem / bug, and wish someone to help you, please
 include:
 
-<!-- A clear and concise description of what the bug is. -->
+## How To Reproduce the Issue
 
-## To Reproduce
-
-1. what changes you made / what code you wrote
-2. what command you run
-3. what you observed (full logs are preferred)
+1. what changes you made (`git diff`) or what code you wrote
+2. what exact command you run
+3. what you observed (including the full logs):
+```
+<put logs in a formatted block>
+```
 
 ## Expected behavior
 
 If there are no obvious error in "what you observed" provided above,
 please tell us the expected behavior.
 
-If you expect the model to work better, only in one of the two conditions we will help with it:
-(1) You're unable to reproduce the results documented in detectron2 model zoo.
+If you expect the model to work better, note that we do not help you train your model.
+Only in one of the two conditions we will help with it:
+(1) You're unable to reproduce the results in detectron2 model zoo.
 (2) It indicates a detectron2 bug.
 
 ## Environment

diff --git a/Dockerfile b/Dockerfile
@@ -23,7 +23,7 @@ RUN pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=Pyt
 # install detectron2
 RUN git clone https://github.com/facebookresearch/detectron2 /detectron2_repo
 ENV FORCE_CUDA="1"
-ENV TORCH_CUDA_ARCH_LIST="Maxwell;Maxwell+Tegra;Pascal;Volta;Turing"
+ENV TORCH_CUDA_ARCH_LIST="Kepler;Kepler+Tesla;Maxwell;Maxwell+Tegra;Pascal;Volta;Turing"
 RUN pip install -e /detectron2_repo
 
 WORKDIR /detectron2_repo

diff --git a/docs/tutorials/models.md b/docs/tutorials/models.md
@@ -26,7 +26,7 @@ The dict may contain the following keys:
 * "image": `Tensor` in (C, H, W) format.
 * "instances": an `Instances` object, with the following fields:
 	+ "gt_boxes": `Boxes` object storing N boxes, one for each instance.
-	+ "gt_classes": `Tensor`, a vector of N labels, in range [0, num_categories).
+	+ "gt_classes": `Tensor` of long type, a vector of N labels, in range [0, num_categories).
 	+ "gt_masks": a `PolygonMasks` object storing N masks, one for each instance.
 	+ "gt_keypoints": a `Keypoints` object storing N keypoint sets, one for each instance.
 * "proposals": an `Instances` object used in Fast R-CNN style models, with the following fields:

diff --git a/docs/tutorials/write-models.md b/docs/tutorials/write-models.md
@@ -32,3 +32,5 @@ See [densepose in detectron2](https://github.com/facebookresearch/detectron2/tre
 for an example that implements new ROIHeads.
 
 Other registries can be found in [API documentation](../modules/modeling.html#model-registries).
+You can register components in these registries to customize different parts of a model, or the
+entire model.