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\nDate: Wed Apr 12 17:25:02 2023 +0000\n\n Merged PR 3207: Fix parallelization and enable file checker in tests\n\n Fix parallelization and enable file checker in tests\n\ncommit 7e206532932ff603decfd46656173702ebdceff5\nAuthor: Lisa Ong \nDate: Wed Apr 12 08:02:20 2023 +0000\n\n Merged PR 3195: [LLVM 15] progressive upgrade (24a37a396a9b), disable macos builds\n\n The first of a series of progressive upgrades from LLVM 14.0.6 to LLVM 15.0.7 (and possibly beyond).\n\n Current LLVM version:\n https://intelligentdevices.visualstudio.com/ELL/_git/accera.llvm?version=GBaccera/llvmorg-15-24a37a396a9b&_a=history\n\n This is llvmorg-15.0.0-init, fast forwarded to about 100 \"relevant\" MLIR commits (actual number of commits is higher).\n\n Performance on AVX2 is verified for Windows (no regressions).\n\n **Breaking Change: macOS builds**\n With this upgrade we are also retiring the macOS pipelines due to lack of build resources for LLVM macos/intel Conan packages. This only affects internal developer scenarios. Public developers continue to rely on vcpkg builds.\n\ncommit 2927234171f8e6c960f654909f8ec0a2c19e3c54\nAuthor: Kern Handa \nDate: Fri Apr 7 17:20:42 2023 +0000\n\n Merged PR 3172: Adds better support for compiling specifically for AVX2 targets\n\n * Plumb AVX2 flags to LLVM, with a block for macOS. We plan to remove official support for macOS/Intel starting from LLVM 15 due to limited build resources.\n * Initialize Target.HOST extensions using cpu_info\n * Added more AVX2 filecheck tests to catch LLVM lowering regressions before moving to LLVM 15 [MasonR]\n\n **Breaking Change**: Target.HOST no longer unconditionally enables the AVX2 extension if the underlying CPU does not support it, otherwise codegen may result in unsupported instructions.\n\n To compile for AVX2 if your host doesn't support AVX2, specify Target(\"\"). 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For example,\n\n ```\n %7 = \"accv.slice\"(%arg0, %6) {sliceDimensions = [0]} : (memref<1x30x256xui8>, index) -> memref<30x256xui8, affine_map<...>>\n ```\n\n would get lowered to:\n\n ```\n %4 = memref.subview %arg0[%3, 0, 0] [1, 30, 256] [1, 1, 1] : memref<1x30x256xui8> to memref<1x30x256xui8, affine_map<...>>\n %5 = memref.cast %4 : memref<1x30x256xui8, affine_map<...>> to memref>\n ```\n which does not drop the first dimension as expected. 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This test code path is only exercised when vulkan is installed.\n\n ```\n format = self.PACKAGE_FORMAT if \"VULKAN_SDK\" in os.environ else Package.Format.HAT_STATIC\n with verifiers.VerifyPackage(self, \"test_vulkan_gpu_matmul\", TEST_PACKAGE_DIR):\n package.build(\n name=\"test_vulkan_gpu_matmul\", format=format, mode=self.PACKAGE_MODE, output_dir=TEST_PACKAGE_DIR\n )\n ```","shortMessageHtmlLink":"Squashed commit of the following:"}},{"before":"dd4779b1aed31c15912650d816316ddbffa62564","after":"640b1532fbf269bf27475653701918d5c4a3b5ea","ref":"refs/heads/gh-pages","pushedAt":"2023-03-24T04:19:56.000Z","pushType":"force_push","commitsCount":0,"pusher":{"login":"github-actions[bot]","name":null,"path":"/apps/github-actions","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/15368?s=80&v=4"},"commit":{"message":"Deployed 1127a60 with MkDocs version: 1.4.2","shortMessageHtmlLink":"Deployed 1127a60 with MkDocs version: 1.4.2"}},{"before":"f55e4d8798e98c6bdfafe5e6970e7171ee908040","after":"1127a6040662ed4548aac4b479308a6e793cd071","ref":"refs/heads/main","pushedAt":"2023-03-24T04:19:23.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"lisaong","name":"Lisa Ong","path":"/lisaong","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/11318241?s=80&v=4"},"commit":{"message":"Squashed commit of the following:\n\ncommit 40dffe83929973c8e205c395be5db23c360c2397\nAuthor: Denny Sun \nDate: Thu Mar 23 05:06:51 2023 +0000\n\n Merged PR 3176: [Accera] split_dim op supports dynamic dims with static split size\n\n With this fix the following test case which has dynamic dims with static split size can succeed.\n\n ```\n M, MN = create_dimensions()\n N = 16\n\n Input = Array(role=Role.INPUT, element_type=ScalarType.float32, shape=(MN,))\n Output = Array(role=Role.INPUT_OUTPUT, element_type=ScalarType.float32, shape=(M, N))\n\n nest = Nest(shape=(M, N))\n i, j = nest.get_indices()\n\n @nest.iteration_logic\n def _():\n split_input = Input._split_dimension(0, cast(16, ScalarType.index))\n Output[i, j] = split_input[i, j]\n ```\n\ncommit 451b67405d77ebbe1cf0722f9c7aeb191c3b4beb\nAuthor: Mason Remy \nDate: Thu Mar 23 01:19:37 2023 +0000\n\n Merged PR 3174: Ensure any dynamic allocations are heap allocs that get dealloced\n\n Ensure any dynamic allocations are heap allocs\n\ncommit 602b068f19cdf1ff9111aacbeb5d704974521ebd\nAuthor: Kern Handa \nDate: Wed Mar 22 20:59:43 2023 +0000\n\n Merged PR 3171: [test] Add some tests for Dimensions\n\ncommit ccd1f5c39964fbe96815672f137b5185ee2e9885\nAuthor: Mason Remy \nDate: Wed Mar 22 19:41:02 2023 +0000\n\n Merged PR 3175: Support reinterpret cast of same bitwidth without changing layout\n\n Support reinterpret cast of same bitwidth without changing layout\n\ncommit 270a3c8a9c1e1c06b0da3c9d61fa2f04438e3076\nAuthor: Kern Handa \nDate: Fri Mar 17 22:16:08 2023 +0000\n\n Merged PR 3167: Remove hack to treat INPUT_OUTPUT Arrays with shape (1,) as Elements\n\n I don't have complete context on this, so this might break something. If it does, that should be fixed separately rather than keep this hack around, which breaks semantics in non-obvious ways.\n\ncommit efcff61727c64e7f0a37f4f92c701bc47ea1c470\nAuthor: Lisa Ong \nDate: Fri Mar 17 08:09:07 2023 +0000\n\n Merged PR 3165: [build] Fix clang 14 release build warnings treated as errors on macOS/Apple\n\n Errors are showing up on release builds:\n\n ```\n cmake .. -DCMAKE_BUILD_TYPE=Release -G Ninja\n cmake --build . --config Release\n ```\n\n Clang version:\n ```\n Apple clang version 14.0.0 (clang-1400.0.29.202)\n Target: arm64-apple-darwin22.3.0\n Thread model: posix\n ```\n\ncommit 43f311aa706214243ce8d7acca7d29993bb7003b\nAuthor: Lisa Ong \nDate: Fri Mar 17 07:02:09 2023 +0000\n\n Merged PR 3162: Bump vcpkg to latest release\n\n Last release was Sept 2022. Update to the latest tag (2023.02.24)\n\n Preparation for LLVM 15 upgrade\n\ncommit 07098f502596d997bbe241e95f1130c11e318220\nAuthor: Mason Remy \nDate: Thu Mar 16 23:27:04 2023 +0000\n\n Merged PR 3161: Fix cache reduce scale constant hoisting\n\n Fix cache reduce scale constant hoisting\n\ncommit 696ef0df5947067f94b64255e00b7fffc4c04f9d\nAuthor: Mason Remy \nDate: Thu Mar 16 20:54:22 2023 +0000\n\n Merged PR 3163: Extend vector masked loads/stores to handle arbitrary bin ops and constant operands\n\n Extend vector masked loads/stores to handle arbitrary bin ops and\n constant operands","shortMessageHtmlLink":"Squashed commit of the following:"}},{"before":"67990295587e01f590a8db5764b79da3f7465b94","after":"dd4779b1aed31c15912650d816316ddbffa62564","ref":"refs/heads/gh-pages","pushedAt":"2023-03-16T06:49:14.828Z","pushType":"force_push","commitsCount":0,"pusher":{"login":"github-actions[bot]","name":null,"path":"/apps/github-actions","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/15368?s=80&v=4"},"commit":{"message":"Deployed f55e4d8 with MkDocs version: 1.4.2","shortMessageHtmlLink":"Deployed f55e4d8 with MkDocs version: 1.4.2"}},{"before":"7ac5fe4d5ec6ba6ead43d8a0098f9d91e343c289","after":"f55e4d8798e98c6bdfafe5e6970e7171ee908040","ref":"refs/heads/main","pushedAt":"2023-03-16T06:48:43.811Z","pushType":"push","commitsCount":1,"pusher":{"login":"lisaong","name":"Lisa Ong","path":"/lisaong","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/11318241?s=80&v=4"},"commit":{"message":"Squashed commit of the following:\n\ncommit 18db5586d1a45f65fd98ea1a21d5fb87db5d2dbf\nAuthor: Lisa Ong \nDate: Thu Mar 16 03:46:54 2023 +0000\n\n Merged PR 3160: [security] bump onnx to 1.13.0\n\n This resolves a high severity dependabot alert\n\ncommit 07d16bf787bffa3be93dd7902a402e7e5e660596\nAuthor: Mason Remy \nDate: Thu Mar 16 02:17:51 2023 +0000\n\n Merged PR 3157: Dynamic split dim tests\n\n Dynamic split dim tests\n\ncommit 7c5b9a18adbba2ec10461118fb061365e34f5ed0\nAuthor: Denny Sun \nDate: Wed Mar 15 01:47:45 2023 +0000\n\n Merged PR 3158: Do not unroll the profiling ops when vectorization enabled\n\n when vectorization is enabled, the ops in kernel get unrolled, for example, without this fix the timer added to inner kernel will have 8 copies, which is definitely wrong.\n\ncommit df217f2e731c2609674da57662eaf1ed6b4a40b0\nAuthor: Denny Sun \nDate: Mon Mar 13 06:18:41 2023 +0000\n\n Merged PR 3153: Fix the lowering issue of the profiling ops\n\n With this fix the kernel level profiling support can work end to end. Here is some example about how to use it:\n\n ```\n @tile_nest.iteration_logic\n def _tile_logic():\n EnterProfileRegion(\"pack_b_fn_outer\")\n pack_b_fn(B, B_temp, j, k)\n ExitProfileRegion(\"pack_b_fn_outer\")\n\n EnterProfileRegion(\"matmul_fn_outer\")\n matmul_fn(A, B, C, B_temp, i, j, k)\n ExitProfileRegion(\"matmul_fn_outer\")\n\n PrintProfileResults()\n ```\n\n The timings printed out look like:\n\n ```\n matmul_fn_outer 1 0.000100 ms\n pack_b_fn_outer 1 0.000400 ms\n matmul_fn_outer 2 0.000400 ms\n pack_b_fn_outer 2 0.001200 ms\n matmul_fn_outer 3 0.000600 ms\n pack_b_fn_outer 3 0.001700 ms\n matmul_fn_outer 4 0.000800 ms\n pack_b_fn_outer 4 0.002300 ms\n matmul_fn_outer 5 0.000900 ms\n pack_b_fn_outer 5 0.002700 ms\n matmul_fn_outer 6 0.001200 ms\n pack_b_fn_outer 6 0.003200 ms\n matmul_fn_outer 7 0.001500 ms\n pack_b_fn_outer 7 0.003700 ms\n matmul_fn_outer 8 0.001700 ms\n pack_b_fn_outer 8 0.004000 ms\n matmul_fn_outer 9 0.002000 ms\n pack_b_fn_outer 9 0.004500 ms\n matmul_fn_outer 10 0.002200 ms\n pack_b_fn_outer 10 0.004800 ms\n matmul_fn_outer 11 0.002400 ms\n pack_b_fn_outer 11 0.005300 ms\n matmul_fn_outer 12 0.002700 ms\n pack_b_fn_outer 12 0.006500 ms\n matmul_fn_outer 13 0.003100 ms\n pack_b_fn_outer 13 0.007400 ms\n matmul_fn_outer 14 0.003400 ms\n pack_b_fn_outer 14 0.007800 ms\n matmul_fn_outer 15 0.003700 ms\n pack_b_fn_outer 15 0.008300 ms\n matmul_fn_outer 16 0.004000 ms\n pack_b_fn_outer 16 0.008800 ms\n matmul_fn_outer 17 0.004400 ms\n pack_b_fn_outer 17 0.009199 ms\n matmul_fn_outer 18 0.004800 ms\n pack_b_fn_outer 18 0.009599 ms\n matmul_fn_outer 19 0.005100 ms\n pack_b_fn_outer 19 0.010099 ms\n matmul_fn_outer 20 0.005400 ms\n pack_b_fn_outer 20 0.010599 ms\n matmul_fn_outer 21 0.006000 ms\n pack_b_fn_outer 21 0.011299 ms\n matmul_fn_outer 22 0.006300 ms\n pack_b_fn_outer 22 0.011899 ms\n matmul_fn_outer 23 0.006500 ms\n pack_b_fn_outer 23 0.012299 ms\n matmul_fn_outer 24 0.006701 ms\n pack_b_fn_outer 24 0.012699 ms\n matmul_fn_outer 25 0.006901 ms\n pack_b_fn_outer 25 0.013099 ms\n matmul_fn_outer 26 0.007101 ms\n pack_b_fn_outer 26 0.013399 ms\n matmul_fn_outer 27 0.007300 ms\n pack_b_fn_outer 27 0.013799 ms\n matmul_fn_outer 28 0.007401 ms\n pack_b_fn_outer 28 0.014100 ms\n matmul_fn_outer 29 0.007601 ms\n pack_b_fn_outer 29 0.014600 ms\n matmul_fn_outer 30 0.007801 ms\n pack_b_fn_outer 30 0.015000 ms\n matmul_fn_outer 31 0.007901 ms\n pack_b_fn_outer 31 0.015399 ms\n matmul_fn_outer 32 0.008101 ms\n pack_b_fn_outer 32 0.015699 ms\n matmul_fn_outer 33 0.008301 ms\n pack_b_fn_outer 33 0.015999 ms\n matmul_fn_outer 34 0.008601 ms\n pack_b_fn_outer 34 0.016...\n\ncommit 3572c2b081198e1631f2df208c07490c6d4b4bf5\nAuthor: Lisa Ong \nDate: Fri Mar 10 10:57:39 2023 +0000\n\n Merged PR 3152: [nfc] [test] Skip fast_exp mlas tests on unsupported Aarch64\n\n These tests generate `llvm.x86.avx.max.ps.256` which is not supported on non-intel processors like Apple M1\n\n ```\n %28 = load <8 x float>, <8 x float>* %27, align 4, !dbg !19\n %29 = call <8 x float> @llvm.x86.avx.max.ps.256(<8 x float> %28, <8 x float> ), !dbg !20\n %30 = call <8 x float> @llvm.fmuladd.v8f32(<8 x float> %29, <8 x float> , <8 x float> ), !dbg !21\n %31 = fsub <8 x float> %30, , !dbg !22\n\n ```","shortMessageHtmlLink":"Squashed commit of the following:"}},{"before":"9bf9f276881749a39c932252591845c5fa053edf","after":"03d6403522b48503e413afd8961ffa26fbb2c7a1","ref":"refs/heads/demos","pushedAt":"2023-03-10T08:48:27.076Z","pushType":"push","commitsCount":1,"pusher":{"login":"lisaong","name":"Lisa Ong","path":"/lisaong","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/11318241?s=80&v=4"},"commit":{"message":"Update for breaking change in fusion indices ordering","shortMessageHtmlLink":"Update for breaking change in fusion indices ordering"}},{"before":"6f5bf08836282971f423a83170e9f9c3ad03480d","after":"67990295587e01f590a8db5764b79da3f7465b94","ref":"refs/heads/gh-pages","pushedAt":"2023-03-10T07:48:16.766Z","pushType":"force_push","commitsCount":0,"pusher":{"login":"github-actions[bot]","name":null,"path":"/apps/github-actions","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/15368?s=80&v=4"},"commit":{"message":"Deployed 7ac5fe4 with MkDocs version: 1.4.2","shortMessageHtmlLink":"Deployed 7ac5fe4 with MkDocs version: 1.4.2"}},{"before":"05f8c0d1d64c4eecdc02d4731b6deb45cd58b4cc","after":"7ac5fe4d5ec6ba6ead43d8a0098f9d91e343c289","ref":"refs/heads/main","pushedAt":"2023-03-10T07:47:43.402Z","pushType":"push","commitsCount":2,"pusher":{"login":"lisaong","name":"Lisa Ong","path":"/lisaong","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/11318241?s=80&v=4"},"commit":{"message":"[doc] fixup version","shortMessageHtmlLink":"[doc] fixup version"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAADk_ou9gA","startCursor":null,"endCursor":null}},"title":"Activity ยท microsoft/Accera"}