๐
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Args: iree-opt --pass-pipeline=builtin.module(func.func(iree-codegen-tile-and-distribute-to-workgroups-using-forall-op, cse)) --mlir-print-local-scope --split-input-file before_scf.mlir --debug | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::chlo::ChloDialect) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::stablehlo::StablehloDialect) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::vhlo::VhloDialect) | |
Load new dialect in Context builtin | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::ShapedType) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::MemRefLayoutAttrInterface) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::TypedAttr) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::ElementsAttr) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::DistinctAttr) |
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Args: iree-opt --pass-pipeline=builtin.module(func.func(iree-codegen-tile-and-distribute-to-workgroups-using-forall-op, cse)) --mlir-print-local-scope --split-input-file before_scf.mlir --debug | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::chlo::ChloDialect) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::stablehlo::StablehloDialect) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::vhlo::VhloDialect) | |
Load new dialect in Context builtin | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::ShapedType) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::MemRefLayoutAttrInterface) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::TypedAttr) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::ElementsAttr) | |
ImplicitTypeIDRegistry::lookupOrInsert(mlir::DistinctAttr) |
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func.func @time_out(%arg0: tensor<1x1x288x8x4xf32>, %arg1: tensor<1152xf32>) -> tensor<1x1x1152xf32> { | |
%c0 = arith.constant 0 : index | |
%5 = tensor.empty() : tensor<1x1x1152xf32> | |
%unpack = tensor.unpack %arg0 outer_dims_perm = [0, 1, 2] inner_dims_pos = [1, 2] inner_tiles = [8, 4] into %5 : tensor<1x1x288x8x4xf32> -> tensor<1x1x1152xf32> | |
%6 = linalg.generic {indexing_maps = [affine_map<(d0, d1, d2) -> (d2)>, affine_map<(d0, d1, d2) -> (d0, d1, d2)>, affine_map<(d0, d1, d2) -> (d0, d1, d2)>], iterator_types = ["parallel", "parallel", "parallel"]} ins(%arg1, %unpack : tensor<1152xf32>, tensor<1x1x1152xf32>) outs(%5 : tensor<1x1x1152xf32>) { | |
^bb0(%in: f32, %in_0: f32, %out: f32): | |
%7 = arith.addf %in, %in_0 : f32 | |
linalg.yield %7 : f32 | |
} -> tensor<1x1x1152xf32> | |
return %6: tensor<1x1x1152xf32> |
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// -----// 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, d1, d2, d3, d4)> | |
module { | |
func.func @test_dispatch(%arg0: tensor<1x2x128xf32>, %arg1: tensor<1x2x48x30x30xf32>, %arg2: tensor<2x128x48x5x5xf32>) -> (tensor<1x2x128x26x26xf32>, tensor<1x2x128x26x26xf32>) { | |
%cst = arith.constant 0.000000e+00 : f32 | |
%c40896 = arith.constant 40896 : index | |
%c3720640 = arith.constant 3720640 : index | |
%c259584 = arith.constant 259584 : index | |
%c605184 = arith.constant 605184 : index |
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func.func @scatter_dispatch_0_scatter_2x2xi32_dispatch_tensor_store() attributes {translation_info = #iree_codegen.translation_info<CPUDefault>} { | |
%c0 = arith.constant 0 : index | |
%0:3 = util.assume.int | |
%c0<umin = 0, umax = 0>, | |
%c0<umin = 0, umax = 0>, | |
%c0<umin = 0, umax = 0> | |
: index, index, index | |
%1 = hal.interface.binding.subspan layout(<bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, Indirect>], flags = Indirect>) binding(0) alignment(64) offset(%0#0) flags("ReadOnly|Indirect") : !flow.dispatch.tensor<readonly:tensor<2xi32>> | |
%2 = hal.interface.binding.subspan layout(<bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, Indirect>], flags = Indirect>) binding(1) alignment(64) offset(%0#1) flags("ReadOnly|Indirect") : !flow.dispatch.tensor<read |
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// -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
module { | |
func.func @scatter() -> tensor<2x2xi32> { | |
%0 = util.unfoldable_constant dense<0> : tensor<2x2xi32> | |
%1 = util.unfoldable_constant dense<1> : tensor<2xi32> | |
%2 = util.unfoldable_constant dense<[[0, 0], [1, 1]]> : tensor<2x2xi32> | |
%3 = iree_linalg_ext.scatter dimension_map = [0, 1] unique_indices(true) ins(%1, %2 : tensor<2xi32>, tensor<2x2xi32>) outs(%0 : tensor<2x2xi32>) { | |
^bb0(%arg0: i32, %arg1: i32): | |
iree_linalg_ext.yield %arg0 : i32 | |
} -> tensor<2x2xi32> |
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-----BEGIN PGP PUBLIC KEY BLOCK----- | |
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// -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) ('builtin.module' operation) //----- // | |
#map = affine_map<(d0) -> (d0)> | |
module { | |
func.func @philox_i32_dispatch_0_elementwise_broadcast_2_i32(%arg0: tensor<4xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) { | |
%c0 = arith.constant 0 : index | |
%c3 = arith.constant 3 : index | |
%c2 = arith.constant 2 : index | |
%c3528531795_i64 = arith.constant 3528531795 : i64 | |
%c3449720151_i64 = arith.constant 3449720151 : i64 | |
%c-1640531527_i32 = arith.constant -1640531527 : i32 |
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// -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) ('builtin.module' operation) //----- // | |
#map = affine_map<(d0) -> (d0)> | |
module { | |
func.func @philox_i32_dispatch_0_elementwise_broadcast_2_i32(%arg0: tensor<4xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) { | |
%c0 = arith.constant 0 : index | |
%c3 = arith.constant 3 : index | |
%c2 = arith.constant 2 : index | |
%c3528531795_i64 = arith.constant 3528531795 : i64 | |
%c3449720151_i64 = arith.constant 3449720151 : i64 | |
%c-1640531527_i32 = arith.constant -1640531527 : i32 |
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// -----// IR Dump After LLVMCPUSelectLoweringStrategyPass (iree-llvmcpu-select-lowering-strategy) //----- // | |
#config = #iree_codegen.lowering_config<tile_sizes = [[16, 64], [8, 32], [0, 0], [0, 0]]> | |
#config1 = #iree_codegen.lowering_config<tile_sizes = [[16, 64, 0], [16, 64, 0], [0, 0, 0], [8, 32, 0], [0, 0, 16], [0, 0, 0]]> | |
#executable_target_embedded_elf_x86_64_ = #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", {cpu = "generic", cpu_features = "+avx512f", data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128", native_vector_size = 64 : index, target_triple = "x86_64-none-elf"}> | |
#map = affine_map<(d0, d1) -> (d0, d1)> | |
#map1 = affine_map<(d0, d1) -> (d1)> | |
#pipeline_layout = #hal.pipeline.layout<bindings = [#hal.pipeline.binding<storage_buffer>, #hal.pipeline.binding<storage_buffer>, #hal.pipeline.binding<storage_buffer>, #hal.pipeline.binding<storage_buffer>, #hal.pipeline.binding<storage_buffer>, #hal.pipeline.binding<storage_buffer>]> | |
#translation = #iree_codegen.t |