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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of v3
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Lines of Code : 20License : Non-SPDX (Apache License 2.0)
Copydef _convert_tensor_array_v3(pfor_input):
size = pfor_input.unstacked_input(0)
dtype = pfor_input.get_attr("dtype")
dynamic_size = pfor_input.get_attr("dynamic_size")
clear_after_read = pfor_input.get_attr("clear_after_read")
identical_elem def _QuantizeAndDequantizeV3Grad(_, grad):
# Only propagate the gradient for the unquantized input.
return [grad, None, None, None] Community Discussions
Trending Discussions on v3
QUESTION
ANSWER
Answered 2022-Apr-08 at 15:31Consider a typical use case of a std::any: You pass it around in your code, move it dozens of times, store it in a data structure and fetch it again later. In particular, you'll likely return it from functions a lot.
As it is now, the pointer to the single "do everything" function is stored right next to the data in the any. Given that it's a fairly small type (16 bytes on GCC x86-64), any fits into a pair of registers. Now, if you return an any from a function, the pointer to the "do everything" function of the any is already in a register or on the stack! You can just jump directly to it without having to fetch anything from memory. Most likely, you didn't even have to touch memory at all: You know what type is in the any at the point you construct it, so the function pointer value is just a constant that's loaded into the appropriate register. Later, you use the value of that register as your jump target. This means there's no chance for misprediction of the jump because there is nothing to predict, the value is right there for the CPU to consume.
In other words: The reason that you get the jump target for free with this implementation is that the CPU must have already touched the any in some way to obtain it in the first place, meaning that it already knows the jump target and can jump to it with no additional delay.
That means there really is no indirection to speak of with the current implementation if the any is already "hot", which it will be most of the time, especially if it's used as a return value.
On the other hand, if you use a table of function pointers somewhere in a read-only section (and let the any instance point to that instead), you'll have to go to memory (or cache) every single time you want to move or access it. The size of an any is still 16 bytes in this case but fetching values from memory is much, much slower than accessing a value in a register, especially if it's not in a cache. In a lot of cases, moving an any is as simple as copying its 16 bytes from one location to another, followed by zeroing out the original instance. This is pretty much free on any modern CPU. However, if you go the pointer table route, you'll have to fetch from memory every time, wait for the reads to complete, and then do the indirect call. Now consider that you'll often have to do a sequence of calls on the any (i.e. move, then destruct) and this will quickly add up. The problem is that you don't just get the address of the function you want to jump to for free every time you touch the any, the CPU has to fetch it explicitly. Indirect jumps to a value read from memory are quite expensive since the CPU can only retire the jump operation once the entire memory operation has finished. That doesn't just include fetching a value (which is potentially quite fast because of caches) but also address generation, store forwarding buffer lookup, TLB lookup, access validation, and potentially even page table walks. So even if the jump address is computed quickly, the jump won't retire for quite a long while. In general, "indirect-jump-to-address-from-memory" operations are among the worst things that can happen to a CPU's pipeline.
TL;DR: As it is now, returning an any doesn't stall the CPU's pipeline (the jump target is already available in a register so the jump can retire pretty much immediately). With a table-based solution, returning an any will stall the pipeline twice: Once to fetch the address of the move function, then another time to fetch the destructor. This delays retirement of the jump quite a bit since it'll have to wait not only for the memory value but also for the TLB and access permission checks.
Code memory accesses, on the other hand, aren't affected by this since the code is kept in microcode form anyway (in the µOp cache). Fetching and executing a few conditional branches in that switch statement is therefore quite fast (and even more so when the branch predictor gets things right, which it almost always does).
QUESTION
I used the database first approach. The model is right (or at least it looks like) But I always get this error. Please, I've already tried so many things.. The full code of my program (and even sql script by which I create my database) is here: https://github.com/AntonioParroni/test-task-for-backend-stack/blob/main/Server/Models/ApplicationContext.cs
Since I have a mac. I created my model with dotnet ef cli commands (dbcontext scaffold) I can use my context. But I can't touch any DbSet..
...ANSWER
Answered 2022-Mar-31 at 09:23You have net6.0 target framework which is still not released while you have installed EF6 which is a previous iteration Entity Framework (mainly used with legacy .NET Framework projects) and you also have EF Core (a modern iteration of it) but older version - 5.0 (which you are actually using for your context, see the using Microsoft.EntityFrameworkCore; statements there).
Try removing EntityFramework package and installing preview version of Microsoft.EntityFrameworkCore.SqlServer (possibly just updating to the latest 5 version also can help) and either removing completely or installing preview version of Microsoft.EntityFrameworkCore.Design. (Also I would recommend to update your SDK to rc and install rc versions of packages).
Or try removing the reference to EntityFramework (not Core one) and changing target framework to net5.0 (if you have it installed on your machine).
As for why do you see this exception - I would guess it is related to new methods added to Queryable in .NET 6 which made one of this checks to fail.
TL;DR
As mentioned in the comments - update EF Core to the corresponding latest version (worked for 5.0 and 3.1) or update to .NET 6.0 and EF Core 6.
QUESTION
I have been using github actions for quite sometime but today my deployments started failing. Below is the error from github action logs
...ANSWER
Answered 2022-Mar-16 at 07:01First, this error message is indeed expected on Jan. 11th, 2022.
See "Improving Git protocol security on GitHub".
January 11, 2022 Final brownout.
This is the full brownout period where we’ll temporarily stop accepting the deprecated key and signature types, ciphers, and MACs, and the unencrypted Git protocol.
This will help clients discover any lingering use of older keys or old URLs.
Second, check your package.json dependencies for any git:// URL, as in this example, fixed in this PR.
As noted by Jörg W Mittag:
For GitHub Actions:There was a 4-month warning.
The entire Internet has been moving away from unauthenticated, unencrypted protocols for a decade, it's not like this is a huge surprise.Personally, I consider it less an "issue" and more "detecting unmaintained dependencies".
Plus, this is still only the brownout period, so the protocol will only be disabled for a short period of time, allowing developers to discover the problem.
The permanent shutdown is not until March 15th.
As in actions/checkout issue 14, you can add as a first step:
QUESTION
I'm attempting to create an apollo client plugin for a Nuxt 3 application. It's currently throwing an error regarding a package called ts-invariant:
ANSWER
Answered 2022-Jan-07 at 01:52Solved by including @apollo/client and ts-invariant/process into the nuxt build transpile like so:
QUESTION
Github Actions were working in my repository till yesterday. I didnt make any changes in .github/workflows/dev.yml file or in DockerFile.
But, suddenly in recent pushes, my Github Actions fail with the error
Setup, Build, Publish, and Deploy
...
ANSWER
Answered 2021-Jul-27 at 13:24I fixed it by changing uses value to
uses: google-github-actions/setup-gcloud@master
QUESTION
When passing a numpy.ndarray of uint8 to numpy.logical_and, it runs significantly faster if I apply numpy.view(bool) to its inputs.
ANSWER
Answered 2022-Feb-22 at 20:23This is a performance issue of the current Numpy implementation. I can also reproduce this problem on Windows (using an Intel Skylake Xeon processor with Numpy 1.20.3). np.logical_and(a, b) executes a very-inefficient scalar assembly code based on slow conditional jumps while np.logical_and(a.view(bool), b.view(bool)) executes relatively-fast SIMD instructions.
Currently, Numpy uses a specific implementation for bool-types. Regarding the compiler used, the general-purpose implementation can be significantly slower if the compiler used to build Numpy failed to automatically vectorize the code which is apparently the case on Windows (and explain why this is not the case on other platforms since the compiler is likely not exactly the same). The Numpy code can be improved for non-bool types. Note that the vectorization of Numpy is an ongoing work and we plan optimize this soon.
Here is the assembly code executed by np.logical_and(a, b):
QUESTION
Just today, whenever I run terraform apply, I see an error something like this: Can't configure a value for "lifecycle_rule": its value will be decided automatically based on the result of applying this configuration.
It was working yesterday.
Following is the command I run: terraform init && terraform apply
Following is the list of initialized provider plugins:
...ANSWER
Answered 2022-Feb-15 at 13:49Terraform AWS Provider is upgraded to version 4.0.0 which is published on 10 February 2022.
Major changes in the release include:
- Version 4.0.0 of the AWS Provider introduces significant changes to the aws_s3_bucket resource.
- Version 4.0.0 of the AWS Provider will be the last major version to support EC2-Classic resources as AWS plans to fully retire EC2-Classic Networking. See the AWS News Blog for additional details.
- Version 4.0.0 and 4.x.x versions of the AWS Provider will be the last versions compatible with Terraform 0.12-0.15.
The reason for this change by Terraform is as follows: To help distribute the management of S3 bucket settings via independent resources, various arguments and attributes in the aws_s3_bucket resource have become read-only. Configurations dependent on these arguments should be updated to use the corresponding aws_s3_bucket_* resource. Once updated, new aws_s3_bucket_* resources should be imported into Terraform state.
So, I updated my code accordingly by following the guide here: Terraform AWS Provider Version 4 Upgrade Guide | S3 Bucket Refactor
The new working code looks like this:
QUESTION
Discussion about this was started under this answer for quite simple question.
ProblemThis simple code has unexpected overload resolution of constructor for std::basic_string:
ANSWER
Answered 2022-Jan-05 at 12:05Maybe I'm wrong, but it seems that last part:
QUESTION
Please help me.
Error -
i18next::pluralResolver: Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling
Code -
...ANSWER
Answered 2021-Dec-29 at 17:31Look like an issue on android.
QUESTION
Consider the following dataset:
...ANSWER
Answered 2022-Jan-21 at 20:14A tidyverse option would be rowwise with extraction using cur_data()
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