infer | Small crate to infer file
kandi X-RAY | infer Summary
kandi X-RAY | infer Summary
Small crate to infer file and MIME type by checking the magic number signature. Adaptation of filetype Go package ported to Rust. Does not require magic file database (i.e. /etc/magic).
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of infer
infer Key Features
infer Examples and Code Snippets
def infer_steps_for_dataset(model,
dataset,
steps,
epochs=1,
steps_name='steps'):
"""Infers steps_per_epoch needed to loop through a dat
def _infer_hints_allowing_override(op1, op2, hints):
"""Infer hints from op1 and op2. hints argument is an override.
Args:
op1: LinearOperator
op2: LinearOperator
hints: _Hints object holding "is_X" boolean hints to use for retur
def _infer_num_gpus_per_worker(devices):
"""Infers the number of GPUs on each worker.
Currently to make multi-worker cross device ops work, we need all workers to
have the same number of GPUs.
Args:
devices: a list of device strings, ca
Community Discussions
Trending Discussions on infer
QUESTION
I wanted to create a list of non-alphabetic characters from a string so i wrote:
...ANSWER
Answered 2022-Mar-28 at 10:04Java will either autobox/autounbox or perform a safe primitive-to-primitive cast.
This
QUESTION
I have updated my project to Xcode 13 and iOS 15. Now the app is crashing with an error related to autoresizing masks in UITableViewCells. I have tried to change UITableViewCells Layer property in the inspector to Inferred and followed this post, but none of them are working.
Have you encountered this problem. How it could be fixed?
Here is some information about the error:
...ANSWER
Answered 2021-Oct-04 at 16:26I have faced up with same problem. Try following: Open *.xib of your UITableViewCell as source code (Context menu / "Open As" / "Source Code"). Locate "tableViewCell" and "tableViewCellContentView" tags, delete its "translatesAutoresizingMaskIntoConstraints" attributes (with values), delete its subtags "autoresizingMask" if present.
QUESTION
// from a library
type T = null | "auto" | "text0" | "text1" | "text2" | "text3" | "text4";
//in my code
type N = Extract extends `text${infer R}` ? R : never
...ANSWER
Answered 2022-Feb-01 at 15:51UPDATE
QUESTION
I've converted a Keras model for use with OpenVino. The original Keras model used sigmoid to return scores ranging from 0 to 1 for binary classification. After converting the model for use with OpenVino, the scores are all near 0.99 for both classes but seem slightly lower for one of the classes.
For example, test1.jpg and test2.jpg (from opposite classes) yield scores of 0.00320357 and 0.9999, respectively.
With OpenVino, the same images yield scores of 0.9998982 and 0.9962392, respectively.
Edit* One suspicion is that the input array is still accepted by the OpenVino model but is somehow changed in shape or "scrambled" and therefore is never a match for class one? In other words, if you fed it random noise, the score would also always be 0.9999. Maybe I'd have to somehow get the OpenVino model to accept the original shape (1,180,180,3) instead of (1,3,180,180) so I don't have to force the input into a different shape than the one the original model accepted? That's weird though because I specified the shape when making the xml and bin for openvino:
...ANSWER
Answered 2022-Jan-05 at 06:06Generally, Tensorflow is the only network with the shape NHWC while most others use NCHW. Thus, the OpenVINO Inference Engine satisfies the majority of networks and uses the NCHW layout. Model must be converted to NCHW layout in order to work with Inference Engine.
The conversion of the native model format into IR involves the process where the Model Optimizer performs the necessary transformation to convert the shape to the layout required by the Inference Engine (N,C,H,W). Using the --input_shape parameter with the correct input shape of the model should suffice.
Besides, most TensorFlow models are trained with images in RGB order. In this case, inference results using the Inference Engine samples may be incorrect. By default, Inference Engine samples and demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the sample or demo application or reconvert your model using the Model Optimizer tool with --reverse_input_channels argument.
I suggest you validate this by inferring your model with the Hello Classification Python Sample instead since this is one of the official samples provided to test the model's functionality.
You may refer to this "Intel Math Kernel Library for Deep Neural Network" for deeper explanation regarding the input shape.
QUESTION
I wrote a function to iterate over neighbors of cells in a 2d grid:
...ANSWER
Answered 2021-Dec-22 at 19:37If I understand correctly, returning an
impl
would result in slower code, calling function pointers instead of compiling things down to simple loops. Right?
Nope. Returning impl Iterator
is exactly the same, codegen-wise, as returning Map<...>>>
.¹ The difference is twofold:
- Changing the return type of
neighbours
does not require changing its signature, soimpl Iterator
is forward-compatible with changes to its return type. impl Iterator
won't unify with other opaqueimpl Iterator
types, even if they happen to have the same underlying type. (In simple terms: the compiler won't allow you to make aVec
ofimpl Iterator
s from different sources, even if all those opaque types are the same concrete type.)
Neither of these differences has any influence on code generation or the compiler's ability to inline anything, so go ahead and use impl Iterator
.
There is one case where you must still use indirect dispatch (dyn Iterator
): when the function neighbours
is itself part of a trait, the impl Trait
syntax is not yet available (as of 1.59). The best way to solve this at the moment is to return Box
. (Note, however, that doesn't mean every call will be dynamically dispatched; the call to .next()
will be, but everything "inside" that still uses easily-optimized static dispatch.)
- What is the correct way to return an Iterator (or any other trait)?
- How do I return an instance of a trait from a method?
- https://stackoverflow.com/a/39490692/3650362 (when the method is part of a trait)
¹ Note that in order to actually return Map<...>>>
, you would still have to use impl Trait
to represent the closures, since they have anonymous types.
QUESTION
Why am I getting different type inference here for the array ?
...ANSWER
Answered 2021-Dec-21 at 14:51The "correct" thing to do would be to infer never[]
for the empty array literal []
, because the type of an array literal is the join of the types of its elements, and never
is the join of an empty set.
However, since inferring never[]
is usually not what the user intends when writing const a = []
, this particular case received a very special treatment in the compiler, and now it starts by implicitly inferring any[]
, and then refining the type based on the subsequent control flow.
There does not seem to be any deeper meaning behind it: it's just what turns out to be the most useful in most cases.
QUESTION
I want to make a type KeyOfType
for keys that be set specific type value.
ANSWER
Answered 2021-Dec-17 at 05:39I would use key remapping here, since remapping a key to never
will remove it from the resulting type:
QUESTION
When using typeof
to narrow the union type, it surprises me that on the premise that under the if
condition we get the particular type of field value
but cannot infer the type of field target
correctly. Why cannot infer that the type of target is HTMLInputElement when know the value is a string?
ANSWER
Answered 2021-Dec-14 at 11:10You could somewhat rehydrate the original types with a type predicate:
QUESTION
I have two broadly related questions.
I want to make a function that forwards the arguments to fmt::format
(and later to std::format
, when the support increases). Something like this:
ANSWER
Answered 2021-Aug-06 at 03:03You can use std::vformat
/ fmt::vformat
instead.
QUESTION
I was figuring out how to do floor/ceiling operations without the math
module. I solved this by using floor division //
, and found out that the negative "gives the ceiling". So this works:
ANSWER
Answered 2021-Oct-17 at 09:07Python uses the symbol -
as both a unary (-x
) and a binary (x-y
) operator. These have different operator precedence.
In specific, the ordering wrt //
is:
- unary
-
- binary
//
- binary
-
By introducing a 0
as 0--3//2
, the first -
is a binary -
and is applied last. Without a leading 0
as --3//2
, both -
are unary and applied together.
The corresponding evaluation/syntax tree is roughly like this, evaluating nodes at the bottom first to use them in the parent node:
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