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[Relay][Op] Trilu operator implementation - #12124

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jwfromm:trilu_op
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[Relay][Op] Trilu operator implementation#12124
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jwfromm:trilu_op

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

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jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

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@mbrookhart I think this is ready to merge.

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mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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[Relay][Op] Trilu operator implementation by jwfromm · Pull Request #12124 · apache/tvm · GitHub
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[Relay][Op] Trilu operator implementation - #12124

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mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op
Aug 2, 2022
Merged

[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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@jwfromm

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

@jwfromm

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

@jwfromm
jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

@jwfromm

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@mbrookhart I think this is ready to merge.

@mbrookhart
mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' [Relay][Op] Trilu operator implementation by jwfromm · Pull Request #12124 · apache/tvm · GitHub
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[Relay][Op] Trilu operator implementation - #12124

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mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op
Aug 2, 2022
Merged

[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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@jwfromm

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

@jwfromm

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

@jwfromm
jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

@jwfromm

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@mbrookhart I think this is ready to merge.

@mbrookhart
mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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[Relay][Op] Trilu operator implementation - #12124

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mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op
Aug 2, 2022
Merged

[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

@jwfromm

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

@jwfromm
jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

@jwfromm

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@mbrookhart I think this is ready to merge.

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mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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[Relay][Op] Trilu operator implementation - #12124

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mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op
Aug 2, 2022
Merged

[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

@jwfromm

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

@jwfromm
jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

@jwfromm

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@mbrookhart I think this is ready to merge.

@mbrookhart
mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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[Relay][Op] Trilu operator implementation - #12124

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Aug 2, 2022
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[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

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jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

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@mbrookhart I think this is ready to merge.

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mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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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('^' + ".*" + ' [Relay][Op] Trilu operator implementation by jwfromm · Pull Request #12124 · apache/tvm · GitHub
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[Relay][Op] Trilu operator implementation - #12124

Merged
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op
Aug 2, 2022
Merged

[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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@jwfromm

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

@jwfromm

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

@jwfromm
jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

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@mbrookhart I think this is ready to merge.

@mbrookhart
mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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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 *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); [Relay][Op] Trilu operator implementation by jwfromm · Pull Request #12124 · apache/tvm · GitHub
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[Relay][Op] Trilu operator implementation - #12124

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mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op
Aug 2, 2022
Merged

[Relay][Op] Trilu operator implementation#12124
mbrookhart merged 7 commits into
apache:mainfrom
jwfromm:trilu_op

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@jwfromm

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This PR adds a new operator that supports triangular masking similar to that in np.triu and np.tril. The addition of relay.trilu conveniently lets us pass many of the remaining onnx tests.

@jwfromm

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@sfvaroglu Can you take a look at this PR?

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LGTM! Thanks for doing this @jwfromm! cc @mikepapadim

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thanks @jwfromm, if this one is merged then we should close following as depreceated #11761#10873 and #9329

@jwfromm
jwfrommforce-pushed the trilu_op branch 2 times, most recently from 221026d to cc2864eCompareJuly 25, 2022 16:24
"test_tril_one_row_neg",
"test_tril_out_neg",
"test_tril_out_pos",
"test_tril_zero",

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I haven't looked at this op at all. How tricky would it be to support the zero case? Otherwise LGTM.

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It actually works on llvm and cuda. I was testing on my macbook and it seems like the metal backend in general doesnt support empty tensors. I think for CI we could add these cases.

@jwfrommjwfrommJul 26, 2022

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Seems like it also doesnt work with nvptx for the same issue with empty tensors. I'll add them here and see how it does in CI.

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Overall LGTM. Thanks for sending this in! Our pytorch frontend could use this new Trilu op as well. Just one nit.

Comment threadpython/tvm/relay/op/transform.py
@jwfromm

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I added pytorch testing and integration. Thanks for the recommendation @shingjan.

@jwfromm

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Unfortunately the empty tensor tests still fail on CI GPUs. I'm not sure why, it doesnt seem like its directly related to this PR so I'm going to reenable skips for those tests.

@jwfromm

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@mbrookhart I think this is ready to merge.

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mbrookhart merged commit b8893b5 into apache:mainAug 2, 2022
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Thanks @jwfromm@sfvaroglu@mikepapadim@shingjan

xinetzone pushed a commit to daobook/tvm that referenced this pull request Nov 25, 2022
* Added topi trilu implementation
* Implemented and tested full Trilu op.
* Fix test type.
* Add tril zero tests.
* Add pytorch trilu integration.
* Clean up torch integration.
* Readded skip for zero tests.
@jwfromm
jwfromm deleted the trilu_op branch April 12, 2023 15:57
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5 participants

@jwfromm@sfvaroglu@mikepapadim@mbrookhart@shingjan