Fuse | simple generic LRU memory/disk cache | Caching library
kandi X-RAY | Fuse Summary
kandi X-RAY | Fuse Summary
The simple generic LRU cache for Android, backed by both memory cache (LruCache) and disk-based cache (DiskLruCache) by Jake Wharton.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Fuse
Fuse Key Features
Fuse Examples and Code Snippets
def _FusedBatchNormGradGradV3(op, *grad):
grad_grad_y, grad_x, grad_scale, _, _ = _FusedBatchNormGradGrad(op, *grad)
return grad_grad_y, grad_x, grad_scale, None, None, None
Community Discussions
Trending Discussions on Fuse
QUESTION
C11 (and newer):
7.12.13 Floating multiply-add
IEEE 754-2008:
fused multiply add,
fusedMultiplyAdd
fused multiply-add
Why C11 (and newer) uses "floating multiply-add" instead of "fused multiply-add"?
Where this "floating" comes from?
...ANSWER
Answered 2022-Feb-02 at 22:48With some detective work we may dig down to the root source of C11's "Floating multiply-add" and identify a discrepancy that very much hints at this naming being just an oversight. WG14's N1154 (Extension for the programming language C to support decimal floating-point arithmetic) from 2006 idiomatically describe the operation as a fused multiply-add arithmetic operation:
9 Arithmetic Operations[...]
9.2 FunctionsThe decimal floating point operations square root, min, max, fused multiply-add and remainder, which are defined in IEEE 754R, are implemented as library functions.
Only to replace (arguably by mistake) fused by floating in the library synopsis for the associated function prototypes. An oversight arguably easily missed in review of the library synopsis as f
in the abbreviated fmad
names in the containing function prototypes could easily be misinterpreted as "floating" as opposed to its actual meaning "fused".
10 Library 10.1 Decimal mathematicsThe list of elementary functions specified in the mathematics library is extended to handle decimal floating-point types. These include functions specified in 7.12.4, 7.12.5, 7.12.6, 7.12.7, 7.12.8, 7.12.9, 7.12.10, 7.12.11, 7.12.12, and 7.12.13
[...]
Suggested changes to C99:
Add the following list of function prototypes to the synopsis of the respective subclauses:
[...]
7.12.13 Floating multiply-add
QUESTION
I have a number of operations I want to "fuse" together. Let's say there are 3 possible operations:
...ANSWER
Answered 2021-Nov-12 at 21:25Here's an alternative using chaining. This way, there's only function calls in your generated function calls, no iteration.
QUESTION
I have a simple structure like:
...ANSWER
Answered 2021-Dec-08 at 11:27For number 2 you can try to check out my pod_reflection library:
QUESTION
With the second generation runtime of Google Cloud Run, it's now possible to mount Google Storage Buckets using gcsfuse.
https://cloud.google.com/run/docs/tutorials/network-filesystems-fuse
The python3 example is working fine. Unfortunately, I keep getting this error with my Dockerfile:
...ANSWER
Answered 2021-Dec-23 at 13:39I solved it mounting GCS bucket in Cloud Run and read/write of object with the following changes:
- Dockerfile:
QUESTION
I am working on a project to fuse two DICOM Image by myself.
Image 1 (168x168) When the images of Image 2 (512x512) are combined, the two images do not match at all.
I don't think there's a problem with the merging script, but If you think the merging code is the problem, you can ask for it.
Image 2 (512x512)
Image 1 (168x168)
Upsizing is finished Image 1 (168x168) => Image 1 (512x512)Image
fusion result
The red part of the picture should match the gray part.
If you look closely at the picture, you can see that the scale is slightly small and does not exactly match up, down, left and right.
Problem (I guess)
When changing from 168 to 512, the decimal points are multiplied and the pixel values of small points are lost.
Since the 512x512 Image 1 is not fixed in the center, if I increase the scale and do not give a padding value, it will not fit.
it is resize code
...ANSWER
Answered 2021-Dec-20 at 07:24thankyou for nucleaR
i make
- The ImageOrientationPatient value is the XYZ value of the cropped position
- PixelSpacing This is the data value of this voxel. The actual size of one pixel can be calculated from this.
- Before resizing the image, since the PT coordinates are larger, the corresponding pixels must be cut from the pt coordinates. How to calculate cropping this pixel is important
- If you cut pixels, you have to cut 168 because it will be based on 512 pixels.
QUESTION
I am running up against the word fuse
in the Rust ecosystem:
slog::Fuse
to promote errors to panics.FutureExt::Fuse
"Fuse a future such that poll will never again be called once it has completed."
I'm aware of Linux's FUSE, a userspace filesystem. A fuse is also an electrical component that goes into open circuit state when too much current goes through the fuse. In hardware "fusing" describes baking configuration into the silicon by (historically) blowing circuits in the silicon through over-current in specific wires of the silicon.
What does "fuse" generally mean in Rust and what is its etymology?
...ANSWER
Answered 2021-Dec-15 at 19:39The earliest use I could find of "fuse" in the Rust ecosystem is Iterator::fuse
, which was added to the standard library during the pre-1.0 days. The initial documentation for Iterator::fuse
said:
QUESTION
I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:
...ANSWER
Answered 2021-Dec-12 at 16:12Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda
gcc
as described in the documentation instead of the system gcc
.
QUESTION
In my Minecraft Forge mod for 1.7.10. I am aware that this version is arguably old news, but it is my favorite version and all of my modding experience is with this version.
I am creating a custom TNT block. The issue is the primed version is not rendering. When ignited, the TNT disappears, and then shortly later there is an explosion. If the TNT was placed in the air, the explosion is below like it should be due to the primed TNT falling. The issue is that it is not rendering. When I use fn+f3+b to show hitboxes, no hitbox is shown.
The issue is the entity being spawned on the server does not replicate to the client. I know this because:
Switching out the entity renderer with the default
RenderTNTPrimed
still fails to render at all instead of rendering the default TNT hence my custom renderer class cannot be the issue.Switching out my custom entity class with the copy paste vanilla
EntityTNTPrimed
code also does not solve the problem. If the problem was with my custom entity class then using bona fide vanilla code would fix the problem but it doesnt.The entity and its renderer are being registered using
RenderingRegistry.registerEntityRenderingHandler()
from the client proxy andEntityRegistry.registerGlobalEntityID()
thenEntityRegistry.registerModEntity()
ininit()
(I had tested the client proxy withSystem.out.println()
and the client proxy works).Though the largest evidence of the problem being the TNT spawing on the server but not the client is the fact that removing
if(world.isRemote) return;
from the handlers in myBlockTNT
class causes the TNT to render. However I am not supposed to handle igniting the TNT on the client so I am not supposed to have to removeif(world.isRemote) return;
. Besides doing this is a pseudo fix, because the entity is still invisible when/summon
ed.The constructor for
TNTPrimedCharged
is only being called from the server, andonUpdate()
forTNTPrimed
and thusTNTPrimedCharged
is also only being called by the server, as demostrated by adding print statements and the logs only show them printed from the SERVER thread.
The BlockTNT
class (much of this is derived from vanilla code, but has been designed to take the corresponding custom primed TNT entity class while instantiating, the problem is not here because instantiating a default EntityTNTPrimed
instead of the provided primed
class does render correctly, but I have included this because this code helped demonstrate the origin of the problem):
ANSWER
Answered 2021-Dec-02 at 22:58It turns out the problem was actually not the entity not spawning on the client. The issue was that the fuse
property was being set to 0 on the client even though it is set to 80 on the server. And thus the client side TNT is instantly setDead()
ing itself. Implementing cpw.mods.fml.common.registry.IEntityAdditionalSpawnData
and then setting the fuse property to the correct value in readSpawnData
seems to have solved the problem.
QUESTION
I am stuck on tracing a PyTorch model on this specific module with an error:
...ANSWER
Answered 2021-Nov-30 at 09:48The problem is that you try to fill in a bool Tensor which is apparently not yet supported in jit (or a bug)
Replacing this:
QUESTION
Django version is 3.2.9.
Python version is 3.10.0.
And typing_extensions 3.10.0.2
I'm new to coding, python, etc., and can't figure out what is the problem. Following django tutorial I created an app and ran the server successfully, but a day later, when I tried to do that again I faced this problem:
...ANSWER
Answered 2021-Nov-24 at 20:37Support for Required
and NotRequired
have been added to typing_extensions
version 4.0.0 as experimental features.
Everything should work for now like it's stated in PEP 655.
Old AnswerIt seems like Required
and NotRequired
aren't implemented yet in typing_extensions
.
PEP 655 states:
The goal is to be able to make the following statement:
The mypy type checker supports Required and NotRequired. A reference implementation of the runtime component is provided in the typing_extensions module.
It's just the goal — it isn't the current state. It is neither listed in typing_extensions
' README nor does it appear in the source code.
I think it is really confusing that vscode's pylance/pyright can resolve typing_extensions.Required
and typing_extensions.NotRequired
, even though it isn't implemented in the module.
As a workaround you could try to replace from typing_extensions import Required
with
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