Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
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Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

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parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

@Jerry-Ge

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

Suggested change
parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

@tatwaichong

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

Suggested change
parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

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parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

@Jerry-Ge

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
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Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

Suggested change
parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

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6 participants

@tatwaichong@Jerry-Ge@digantdesai@facebook-github-bot@cccclai@robell
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
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Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

Suggested change
parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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tatwaichong:tosa_conv2d

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This change add quantized int8 support and some test cases.

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@Jerry-Ge

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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

Suggested change
parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
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6 participants

@tatwaichong@Jerry-Ge@digantdesai@facebook-github-bot@cccclai@robell
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Add initial lowering of aten.convolution to tosa.conv2d support - #615

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Add initial lowering of aten.convolution to tosa.conv2d support#615
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This change add quantized int8 support and some test cases.

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@facebook-github-botfacebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Oct 4, 2023
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Thanks Tatwai for the patch. One question, does the DepthwiseConv2d also work? I didn't see the test cases where the group number is greater 1. The DepthwiseConv2d is heavily used in MobileNetV2.

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@digantdesai@cccclai Please also help review this patch. tks!

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@Jerry-Ge DepthwiseConv2d support will be in another patch.

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Thanks for the pr. Just comment some nits. Let's iterate on it

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadexamples/arm/arm_tosa_e2e.py Outdated

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Thanks for the diff. At a high level it looks good. Let's try to address some comments Chen and I left here.

Comment threadexamples/arm/arm_tosa_e2e.py
Comment threadbackends/arm/test/test_models.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py Outdated
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Add non-bias conv support by creating zero tensor.

Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
Comment threadbackends/arm/arm_backend.py Outdated
Comment threadbackends/arm/arm_backend.py
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Looks good, let's fix the class counter, and a couple of other nit comments.

Comment threadbackends/arm/arm_backend.py Outdated

assert isinstance(p_data, torch.Tensor), "Expect Attr to be tensor"
weight_values = p_data.detach().numpy()
parameter_values = p_data.detach().numpy()

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nit

Suggested change
parameter_values=p_data.detach().numpy()
buffer_values=p_data.detach().numpy()

Comment threadbackends/arm/test/test_models.py

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LGTM thanks @tatwaichong !

https://github.com/pytorch/executorch/pull/615/files#r1349274983 - can we resolve this before merging?

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Hi, I responded at the conversation above directly to see if I catch your suggestion.

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@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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Remove simple_depthwise_conv2d and block_bottleneck_residual from BI-profile unittest list as the quantized depthwise convolution hasn't been supported yet. This removal need the fix from /pull/659, thus copy the needed fix code to this PR for passing the unitest.

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@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@digantdesai merged this pull request in 51d6afa.

@tatwaichong
tatwaichong deleted the tosa_conv2d branch October 9, 2023 07:17
@robellrobell added the partner: arm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Arm label Jul 4, 2024
Gasoonjia pushed a commit that referenced this pull request Jul 30, 2024
Picked f0f4db8 and it seems to mitigate the crashes that manifested as follows:
```
0 0x104ac3648 __assert_rtn + 72
1 0x1049ebc5c ld::Fixup::applyFixup(ld::Atom const*, ld::LayoutLinkedImage const&, unsigned char*) const + 8268
2 0x104a7e7d8 ___ZN2ld16LayoutExecutable27writeContentWithoutLinkEditENSt3__14spanIhLm18446744073709551615EEEy_block_invoke + 332
3 0x19af0a428 _dispatch_client_callout2 + 20
4 0x19af1e850 _dispatch_apply_invoke3 + 336
5 0x19af0a3e8 _dispatch_client_callout + 20
6 0x19af0bc68 _dispatch_once_callout + 32
7 0x19af1eeec _dispatch_apply_invoke_and_wait + 372
8 0x19af1de9c _dispatch_apply_with_attr_f + 1212
9 0x19af1e08c dispatch_apply + 96
10 0x104a7e9e4 void mapReduce<ld::Atom const*, mach_o::Error>(std::__1::span<ld::Atom const*, 18446744073709551615ul>, unsigned long, void (unsigned long, mach_o::Error&, std::__1::span<ld::Atom const*, 18446744073709551615ul>) block_pointer, void (std::__1::span<mach_o::Error, 18446744073709551615ul>) block_pointer) + 336
11 0x104a7e594 ld::LayoutExecutable::writeContentWithoutLinkEdit(std::__1::span<unsigned char, 18446744073709551615ul>, unsigned long long) + 1180
12 0x104a84020 ld::LayoutExecutable::writeToFile(char const*) + 15248
13 0x104a362e8 main + 9424
ld: Assertion failed: (extras.otherInstrOffset != 0 && "Kind::arm64_adrp_ldr missing extra info"), function applyFixup, file Fixup.cpp, line 793.
clang: error: linker command failed with exit code 1 (use -v to see invocation)
```
TODOS:
- [ ] Bisect this to a specific change
- [ ] Check if moving to newer Xcode will work
- [ ] Write a workflow that auto-updates PT + ET pins
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

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6 participants

@tatwaichong@Jerry-Ge@digantdesai@facebook-github-bot@cccclai@robell