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@gyagp gyagp commented Sep 28, 2022

WebGPU Working Group recently found some problem with importExtenalTexture in spec, so we have to disable it temporarily.

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WebGPU Working Group recently found some problem with
importExtenalTexture in spec, so we have to disable it temporarily.
@gyagp gyagp requested review from qjia7 and xhcao September 28, 2022 08:02
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gyagp commented Sep 28, 2022

@shaoboyan PTAL

// browser impl
const importVideo =
env().getBool('WEBGPU_IMPORT_EXTERNAL_TEXTURE') && isVideo;
false && env().getBool('WEBGPU_IMPORT_EXTERNAL_TEXTURE') && isVideo;
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Why not directly assign WEBGPU_IMPORT_EXTERNAL_TEXTURE to false in flags_webgpu.ts?

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@shaoboyan shaoboyan Sep 28, 2022

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I understand this disables import path completely. But I vote for assign WEBGPU_IMPORT_EXTERNAL_TEXTURE to false in flags_webgpu.ts to avoid recompile when we want to try import again.

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LGTM after knowing the concerns about test cases.

@gyagp gyagp merged commit 6cb3a93 into tensorflow:master Sep 28, 2022
@gyagp gyagp deleted the iet branch September 28, 2022 09:54
dydavidkim added a commit to CodeSmithDSMLProjects/tfjs that referenced this pull request Sep 28, 2022
* Customize setTimeout (tensorflow#6694)

If the setTimeout nesting level is greater than 5 and timeout is less
than 4ms, timeout will be clamped to 4ms, which hurts the perf. A custom
setTimeout is provided to mitigate the perf impact.

BUG: tensorflow#6687
Co-authored-by: Na Li <[email protected]>

* Upgrade windows BrowserStack chrome to 104 (tensorflow#6866)

* webgpu: Disable importExternalTexture (tensorflow#6868)

WebGPU Working Group recently found some problem with
importExtenalTexture in spec, so we have to disable it temporarily.

Co-authored-by: Yang Gu <[email protected]>
Co-authored-by: Na Li <[email protected]>
Co-authored-by: Matthew Soulanille <[email protected]>
dydavidkim added a commit to CodeSmithDSMLProjects/tfjs that referenced this pull request Sep 28, 2022
* Customize setTimeout (tensorflow#6694)

If the setTimeout nesting level is greater than 5 and timeout is less
than 4ms, timeout will be clamped to 4ms, which hurts the perf. A custom
setTimeout is provided to mitigate the perf impact.

BUG: tensorflow#6687
Co-authored-by: Na Li <[email protected]>

* Upgrade windows BrowserStack chrome to 104 (tensorflow#6866)

* webgpu: Disable importExternalTexture (tensorflow#6868)

WebGPU Working Group recently found some problem with
importExtenalTexture in spec, so we have to disable it temporarily.

Co-authored-by: Yang Gu <[email protected]>
Co-authored-by: Na Li <[email protected]>
Co-authored-by: Matthew Soulanille <[email protected]>
dydavidkim added a commit to CodeSmithDSMLProjects/tfjs that referenced this pull request Sep 29, 2022
* Customize setTimeout (tensorflow#6694)

If the setTimeout nesting level is greater than 5 and timeout is less
than 4ms, timeout will be clamped to 4ms, which hurts the perf. A custom
setTimeout is provided to mitigate the perf impact.

BUG: tensorflow#6687
Co-authored-by: Na Li <[email protected]>

* Upgrade windows BrowserStack chrome to 104 (tensorflow#6866)

* webgpu: Disable importExternalTexture (tensorflow#6868)

WebGPU Working Group recently found some problem with
importExtenalTexture in spec, so we have to disable it temporarily.

* Refactored Resizing Layer Unit Tests (#38)

* Rescaling Preprocessing Layer
Co-authored-by:
David Kim (@koyykdy) <[email protected]>
Brian Zheng (@Brianzheng123) <[email protected]>

* PR issues resolved

* linting and PR issues resolved
Co-authored-by: Adam Lang (@AdamLang96) <[email protected]>
Co-authored-by: (@Brianzheng123) <[email protected]>

* initial implementation of image preprocessing: resizing layer, and associated unit tests. Comments and refactoring for image scaling layer

* refactoring in computeOutputShape for image resizing layer

* Unit tests for image resizing preprocessing layer expanded and refactored

* refactored unit tests for resizing layer

* Preprocessing-Resizing layer unit test expansion and refactoring.
Co-authored-by: Adam Lang <@AdamLang96> ([email protected])

* cleaning up commit diffs

* cleaning up commit diffs

* PR commit suggestions accepted - code refactored to reflect changes

* resizing layer unit test refactoring

Co-authored-by: AdamLang96 <[email protected]>

* Linting issue resolved: unused import statement culled (#39)

* Rescaling Preprocessing Layer
Co-authored-by:
David Kim (@koyykdy) <[email protected]>
Brian Zheng (@Brianzheng123) <[email protected]>

* PR issues resolved

* linting and PR issues resolved
Co-authored-by: Adam Lang (@AdamLang96) <[email protected]>
Co-authored-by: (@Brianzheng123) <[email protected]>

* initial implementation of image preprocessing: resizing layer, and associated unit tests. Comments and refactoring for image scaling layer

* refactoring in computeOutputShape for image resizing layer

* Unit tests for image resizing preprocessing layer expanded and refactored

* refactored unit tests for resizing layer

* Preprocessing-Resizing layer unit test expansion and refactoring.
Co-authored-by: Adam Lang <@AdamLang96> ([email protected])

* cleaning up commit diffs

* cleaning up commit diffs

* PR commit suggestions accepted - code refactored to reflect changes

* resizing layer unit test refactoring

* linting issues resolved: unusued import statement culled

Co-authored-by: AdamLang96 <[email protected]>

* Update jasmine_util.ts (tensorflow#6872)

FIX

* webgl: Fix NaN issue (tensorflow#6828)

Fix tensorflow#6822

Problem
1: On some GPUs, even if a and b are both non-NaN, the value of isNaN in vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0)); are still larger than 0., which misleads all values become NAN.
2: After resolving NAN issue, the result is still incorrect. It seems that the isnan_custom is not well supported on the problem GPU. After switching back to builtin isnan, everything works well.

Solution:
Use the bool type bvec4 instead of float type vec4 to calculate isNaN to avoid the the float precision issue when comparing with zero.
Meanwhile, add an env flag WEBGL2_ISNAN_CUSTOM to allow user to specify which isnan to use.

* Upgrade nodejs to 18.7.0 (tensorflow#6863)

* Upgrade nodejs to 18.7.0

* Fix hash table test string not passed as base64

* fixed prelu fusing code that pre-maturely neg the const on multiply (tensorflow#6876)

Co-authored-by: RajeshT <[email protected]>

* Update tfjs-layers/src/layers/preprocessing/image_resizing.ts

Co-authored-by: Matthew Soulanille <[email protected]>

Co-authored-by: Yang Gu <[email protected]>
Co-authored-by: Na Li <[email protected]>
Co-authored-by: Matthew Soulanille <[email protected]>
Co-authored-by: AdamLang96 <[email protected]>
Co-authored-by: Linchenn <[email protected]>
Co-authored-by: Jiajia Qin <[email protected]>
Co-authored-by: Ping Yu <[email protected]>
Co-authored-by: RajeshT <[email protected]>
Co-authored-by: Matthew Soulanille <[email protected]>

Co-authored-by: Yang Gu <[email protected]>
Co-authored-by: Na Li <[email protected]>
Co-authored-by: Matthew Soulanille <[email protected]>
Co-authored-by: AdamLang96 <[email protected]>
Co-authored-by: Linchenn <[email protected]>
Co-authored-by: Jiajia Qin <[email protected]>
Co-authored-by: Ping Yu <[email protected]>
Co-authored-by: RajeshT <[email protected]>
Co-authored-by: Matthew Soulanille <[email protected]>
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4 participants