pashu123
/ decomposed_kernel.mlir
Created
January 20, 2025 18:36
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3) -> ()> | |
| #map1 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d4, d3)> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2, d4)> | |
| #map5 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2)> | |
| #map6 = affine_map<(d0, d1, d2) -> (d0, d1, d2)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x32x128x512xf32>, %arg1: tensor<1x32x128x512xf32>, %arg2: tensor<1x32x128x512xf32>) -> tensor<1x32x128x512xf32> { | |
| %cst = arith.constant 1.250000e-01 : f32 |
pashu123
/ attn_kernel.mlir
Created
January 20, 2025 18:35
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d4)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d4)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4, d5) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x32x128x512xf32>, %arg1: tensor<1x32x128x512xf32>, %arg2: tensor<1x32x128x512xf32>) -> tensor<1x32x128x512xf32> { | |
| %cst = arith.constant 1.250000e-01 : f32 | |
| %0 = tensor.empty() : tensor<1x32x128x512xf32> | |
| %1 = iree_linalg_ext.attention {indexing_maps = [#map, #map1, #map2, #map3, #map4]} ins(%arg0, %arg1, %arg2, %cst : tensor<1x32x128x512xf32>, tensor<1x32x128x512xf32>, tensor<1x32x128x512xf32>, f32) outs(%0 : tensor<1x32x128x512xf32>) { |
pashu123
/ module_prefill_bs1$async_dispatch_39.mlir
Created
January 17, 2025 15:21
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| hal.executable public @prefill_bs1$async_dispatch_39 { | |
| hal.executable.variant public @embedded_elf_x86_64 target(<"llvm-cpu", "embedded-elf-x86_64", {cpu = "znver4", cpu_features = "+prfchw,-cldemote,+avx,+aes,+sahf,+pclmul,-xop,+crc32,-amx-fp8,+xsaves,-avx512fp16,-usermsr,-sm4,-egpr,+sse4.1,+avx512ifma,+xsave,+sse4.2,-tsxldtrk,-sm3,-ptwrite,-widekl,-movrs,+invpcid,+64bit,+xsavec,-avx10.1-512,+avx512vpopcntdq,+cmov,-avx512vp2intersect,+avx512cd,+movbe,-avxvnniint8,-ccmp,-amx-int8,-kl,-avx10.1-256,+evex512,-avxvnni,-rtm,+adx,+avx2,-hreset,-movdiri,-serialize,-sha512,+vpclmulqdq,+avx512vl,-uintr,-cf,+clflushopt,-raoint,-cmpccxadd,+bmi,-amx-tile,+sse,-avx10.2-256,+gfni,-avxvnniint16,-amx-fp16,-zu,-ndd,+xsaveopt,+rdrnd,+avx512f,-amx-bf16,+avx512bf16,+avx512vnni,-push2pop2,+cx8,+avx512bw,+sse3,+pku,-nf,-amx-tf32,-amx-avx512,+fsgsbase,+clzero,+mwaitx,-lwp,+lzcnt,+sha,-movdir64b,-ppx,+wbnoinvd,-enqcmd,-amx-transpose,-avx10.2-512,-avxneconvert,-tbm,-pconfig,-amx-complex,+ssse3,+cx16,+bmi2,+fma,+popcnt,-avxifma,+f16 |
pashu123
/ decomposedbf16.mlir
Created
January 16, 2025 15:05
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3) -> ()> | |
| #map1 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d4, d3)> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2, d4)> | |
| #map5 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2)> | |
| #map6 = affine_map<(d0, d1, d2) -> (d0, d1, d2)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x128x32x64xbf16>, %arg1: tensor<1x128x32x64xbf16>, %arg2: tensor<1x128x32x64xbf16>) -> tensor<1x128x32x64xbf16> { | |
| %cst = arith.constant 1.250000e-01 : bf16 |
pashu123
/ attnbf16.mlir
Created
January 16, 2025 15:05
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d4)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d4)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4, d5) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x128x32x64xbf16>, %arg1: tensor<1x128x32x64xbf16>, %arg2: tensor<1x128x32x64xbf16>) -> tensor<1x128x32x64xbf16> { | |
| %cst = arith.constant 1.250000e-01 : bf16 | |
| %0 = tensor.empty() : tensor<1x128x32x64xbf16> | |
| %1 = iree_linalg_ext.attention {indexing_maps = [#map, #map1, #map2, #map3, #map4]} ins(%arg0, %arg1, %arg2, %cst : tensor<1x128x32x64xbf16>, tensor<1x128x32x64xbf16>, tensor<1x128x32x64xbf16>, bf16) outs(%0 : tensor<1x128x32x64xbf16>) { |
pashu123
/ attnbf16.mlir
Created
January 16, 2025 15:01
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d4)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d4)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4, d5) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x128x32x64xbf16>, %arg1: tensor<1x128x32x64xbf16>, %arg2: tensor<1x128x32x64xbf16>, %arg3: tensor<1x128x32x64xbf16>) -> tensor<1x128x32x64xbf16> { | |
| %cst = arith.constant 1.250000e-01 : bf16 | |
| %0 = tensor.empty() : tensor<1x128x32x64xbf16> | |
| %1 = iree_linalg_ext.attention {indexing_maps = [#map, #map1, #map2, #map3, #map4]} ins(%arg0, %arg1, %arg2, %cst : tensor<1x128x32x64xbf16>, tensor<1x128x32x64xbf16>, tensor<1x128x32x64xbf16>, bf16) outs(%0 : tensor<1x128x32x64xbf16>) { |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| processor : 0 | |
| vendor_id : AuthenticAMD | |
| cpu family : 25 | |
| model : 116 | |
| model name : AMD Ryzen 9 7940HS w/ Radeon 780M Graphics | |
| stepping : 1 | |
| microcode : 0xa704104 | |
| cpu MHz : 400.000 | |
| cache size : 1024 KB | |
| physical id : 0 |
pashu123
/ decomposed_kernel.mlir
Created
January 16, 2025 14:49
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3) -> ()> | |
| #map1 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d4, d3)> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2, d4)> | |
| #map5 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2)> | |
| #map6 = affine_map<(d0, d1, d2) -> (d0, d1, d2)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x128x32x64xf32>, %arg1: tensor<1x128x32x64xf32>, %arg2: tensor<1x128x32x64xf32>) -> tensor<1x128x32x64xf32> { | |
| %cst = arith.constant 1.250000e-01 : f32 |
pashu123
/ attn_kernel.mlir
Created
January 16, 2025 14:44
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d4)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d4)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4, d5) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x128x32x64xf32>, %arg1: tensor<1x128x32x64xf32>, %arg2: tensor<1x128x32x64xf32>) -> tensor<1x128x32x64xf32> { | |
| %cst = arith.constant 1.250000e-01 : f32 | |
| %0 = tensor.empty() : tensor<1x128x32x64xf32> | |
| %1 = iree_linalg_ext.attention {indexing_maps = [#map, #map1, #map2, #map3, #map4]} ins(%arg0, %arg1, %arg2, %cst : tensor<1x128x32x64xf32>, tensor<1x128x32x64xf32>, tensor<1x128x32x64xf32>, f32) outs(%0 : tensor<1x128x32x64xf32>) { |
This file has been truncated, but you can view the full file.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| // -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
| #map = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d3, d2)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d3, d4)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d4)> | |
| module { | |
| func.func @attention(%arg0: tensor<20x4096x64xf16>, %arg1: tensor<20x4096x64xf16>, %arg2: tensor<20x4096x64xf16>) -> tensor<20x4096x64xf16> { | |
| %c0 = arith.constant 0 : index | |
| %cst = arith.constant 1.250000e-01 : f16 |