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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93

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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
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Bumps onnx from 1.8.0 to 1.13.0.

Release notes

Sourced from onnx's releases.

v1.13.0

ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

New operators

Operator extensions

Function updates

Reference Python runtime

Reference Python runtime dependent on only Python and numpy has been added. #4483

Python 3.11 support

ONNX 1.13.0 supports Python 3.11. #4490

Apple Silicon support

Support for M1/M2 ARM processors has been added. #4642

More

ONNX 1.13.0 also comes with numerous:

  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates

For full details see Logistics for ONNX Release 1.13.0.

Deprecation notice

  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431

Installation

You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.

Contributors

Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC

... (truncated)

Changelog

Sourced from onnx's changelog.

Operator Changelog

This file is automatically generated from the def files via this script. Do not modify directly and instead edit operator definitions.

For an operator input/output's differentiability, it can be differentiable, non-differentiable, or undefined. If a variable's differentiability is not specified, that variable has undefined differentiability.

ai.onnx (default)

Version 1 of the default ONNX operator set

Abs-1

Absolute takes one input data (Tensor) and produces one output data (Tensor) where the absolute is, y = abs(x), is applied to the tensor elementwise.

Version

This version of the operator has been available since version 1 of the default ONNX operator set.

Attributes

Inputs

Outputs

Type Constraints

... (truncated)

Commits

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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
Commits

Dependabot compatibility score
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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
Commits

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
dependabot[bot] wants to merge 1 commit into
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
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return changed ? u.toString() : url;
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function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
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});
observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
Commits

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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
Commits

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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dependabot[bot] wants to merge 1 commit into
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
dependabot[bot] wants to merge 1 commit into
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
Commits

Dependabot compatibility score
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
  • @dependabot rebase will rebase this PR
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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation by dependabot[bot] · Pull Request #93 · ARM-software/mango · GitHub
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation - #93
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Bump onnx from 1.8.0 to 1.13.0 in /examples/THIN-Bayes/Neural Inertial Navigation#93
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Bumps onnx from 1.8.0 to 1.13.0.
Release notes
Sourced from onnx's releases.
v1.13.0
ONNX v1.13.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.
New operators
Operator extensions
Function updates
Reference Python runtime
Reference Python runtime dependent on only Python and numpy has been added. #4483
Python 3.11 support
ONNX 1.13.0 supports Python 3.11. #4490
Apple Silicon support
Support for M1/M2 ARM processors has been added. #4642
More
ONNX 1.13.0 also comes with numerous:
  • bugfixes
  • infrastructure improvements
  • CI improvements
  • documentation updates
  • security updates
For full details see Logistics for ONNX Release 1.13.0.
Deprecation notice
  • TENSOR_TYPE_TO_STORAGE_TENSOR_TYPE has been deprecated #4270
  • ONNXIFI: ONNX Interface for Framework Integration has been deprecated #4431
Installation
You can upgrade to the latest release using pip install onnx --upgrade or build from source following the README instructions.
Contributors
Thanks to these individuals for their contributions in this release since last 1.12.0 release: @​AnandKri, @​cbourjau, @​jcwchen, @​gramalingam, @​garymm, @​GaetanLepage, @​ilya-lavrenov, @​jnovikov, @​JackBoosY, @​jbachurski, @​tjich, @​jantonguirao, @​justinchuby, @​natke, @​philass, @​prasanthpul, @​p-wysocki, @​SpaceIm, @​stephenneuendorffer,@​take-cheeze, @​sechkova, @​thiagocrepaldi, @​xadupre, @​mszhanyi, @​yuanyao-nv, @​andife, @​daquexian, @​kylesayrs, @​liqunfu, @​longlee0622, @​HSQ79815, @​williamberman, @​YanBC
... (truncated)
Changelog
Sourced from onnx's changelog.
Operator Changelog
This file is automatically generated from the
def files via this script.
Do not modify directly and instead edit operator definitions.
For an operator input/output's differentiability, it can be differentiable,
non-differentiable, or undefined. If a variable's differentiability
is not specified, that variable has undefined differentiability.
ai.onnx (default)
Version 1 of the default ONNX operator set
Abs-1
Absolute takes one input data (Tensor) and produces one output data
(Tensor) where the absolute is, y = abs(x), is applied to
the tensor elementwise.
Version
This version of the operator has been available since version 1 of the default ONNX operator set.
Attributes
Inputs
Outputs
Type Constraints
... (truncated)
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Bump onnx in /examples/THIN-Bayes/Neural Inertial Navigation
34285e8
Bumps [onnx](https://github.com/onnx/onnx) from 1.8.0 to 1.13.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog.md)
- [Commits](onnx/onnx@v1.8.0...v1.13.0)
---
updated-dependencies:
- dependency-name: onnx
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
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