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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 |
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func.func @prefill_bs4$async_dispatch_20_pack_f16() attributes {translation_info = #iree_codegen.translation_info<CPUDataTiling>} { | |
%c32_i64 = arith.constant 32 : i64 | |
%cst = arith.constant 0.000000e+00 : f16 | |
%0 = hal.interface.constant.load layout(<constants = 8, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, Indirect>], flags = Indirect>) ordinal(0) : i32 | |
%1 = hal.interface.constant.load layout(<constants = 8, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, Indirect>], flags = Indirect>) ordinal(1) : i32 | |
%2 = hal.interface.constant.load layout(<constants = 8, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, Indirect>], flags = Indirect>) ordinal(2) : i32 | |
%3 = hal.interface.constant.load layout(<constants = 8, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buff |
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// -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) ('builtin.module' operation) //----- // | |
module { | |
util.func public @matmul(%arg0: tensor<64x64xf32>, %arg1: tensor<64x64xf32>) -> tensor<64x64xf32> { | |
%cst = arith.constant 0.000000e+00 : f32 | |
%0 = tensor.empty() : tensor<64x64xf32> | |
%1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<64x64xf32>) -> tensor<64x64xf32> | |
%2 = linalg.matmul ins(%arg0, %arg1 : tensor<64x64xf32>, tensor<64x64xf32>) outs(%1 : tensor<64x64xf32>) -> tensor<64x64xf32> | |
util.return %2 : tensor<64x64xf32> | |
} | |
} |
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// -----// IR Dump After CheckVHLOStableHloMixUsage (iree-check-vhlostablehlo-mix-usage) ('builtin.module' operation) //----- // | |
module { | |
func.func @compare_i64() { | |
%0 = util.unfoldable_constant dense<1> : tensor<i64> | |
%1 = util.unfoldable_constant dense<5> : tensor<i64> | |
%2 = stablehlo.compare EQ, %0, %1 : (tensor<i64>, tensor<i64>) -> tensor<i1> | |
%3 = util.unfoldable_constant dense<0> : tensor<i8> | |
%4 = util.unfoldable_constant dense<1> : tensor<i8> | |
%5 = stablehlo.select %2, %4, %3 : tensor<i1>, tensor<i8> | |
check.expect_eq_const(%5, dense<0> : tensor<i8>) : tensor<i8> |
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// -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
module { | |
util.func public @matmul(%arg0: tensor<64x64xf32>, %arg1: tensor<64x64xf32>) -> tensor<64x64xf32> { | |
%cst = arith.constant 0.000000e+00 : f32 | |
%0 = tensor.empty() : tensor<64x64xf32> | |
%1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<64x64xf32>) -> tensor<64x64xf32> | |
%2 = linalg.matmul ins(%arg0, %arg1 : tensor<64x64xf32>, tensor<64x64xf32>) outs(%1 : tensor<64x64xf32>) -> tensor<64x64xf32> | |
util.return %2 : tensor<64x64xf32> | |
} | |
} |
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// -----// IR Dump After CheckVHLOStableHloMixUsage (iree-check-vhlostablehlo-mix-usage) //----- // | |
module { | |
func.func @compare_i64() { | |
%0 = util.unfoldable_constant dense<1> : tensor<i64> | |
%1 = util.unfoldable_constant dense<5> : tensor<i64> | |
%2 = stablehlo.compare EQ, %0, %1 : (tensor<i64>, tensor<i64>) -> tensor<i1> | |
%3 = util.unfoldable_constant dense<0> : tensor<i8> | |
%4 = util.unfoldable_constant dense<1> : tensor<i8> | |
%5 = stablehlo.select %2, %4, %3 : tensor<i1>, tensor<i8> | |
check.expect_eq_const(%5, dense<0> : tensor<i8>) : tensor<i8> |
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concat.mlir:0:0: error: failed to legalize operation 'util.initializer' that was explicitly marked illegal | |
concat.mlir:0:0: note: see current operation: | |
"util.initializer"() <{function_type = () -> ()}> ({ | |
%0 = "arith.constant"() <{value = 1 : i8}> : () -> i8 | |
%1 = "arith.constant"() <{value = 0 : i8}> : () -> i8 | |
%2 = "arith.constant"() <{value = 8 : index}> : () -> index | |
%3 = "arith.constant"() <{value = 1 : i32}> : () -> i32 | |
%4 = "arith.constant"() <{value = -1 : i64}> : () -> i64 | |
%5 = "util.null"() : () -> !hal.executable | |
%6 = "arith.constant"() <{value = 14 : i32}> : () -> i32 |
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// -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
#executable_target_embedded_elf_arm_64_ = #hal.executable.target<"llvm-cpu", "embedded-elf-arm_64", {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 = 16 : index, target_triple = "aarch64-none-elf"}> | |
#executable_target_embedded_elf_x86_64_ = #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", {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 = 32 : index, target_triple = "x86_64-none-elf"}> | |
#map = affine_map<()[s0] -> (s0 ceildiv 64)> | |
#map1 = affine_map<()[s0] -> (s0 * 64)> | |
#device_target_local = #hal.device.target<"local", [#executable_target_embedded_elf_arm_64_, #executable_target_embedded_elf_x86_64_]> : !hal.device | |
module @example attributes {hal.device.targets = [#device_target_local]} { | |
stream.executable private @executable attributes {hal.executable.objects = #hal.executable.objects< |
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module { | |
func.func @simple_test_with_cfg(%arg0: i8) -> tensor<2x4xf32> { | |
%0 = flow.dispatch.region -> (tensor<2x4xf32>) { | |
%c0_i8 = arith.constant 0 : i8 | |
%1 = arith.cmpi eq, %arg0, %c0_i8 : i8 | |
cf.cond_br %1, ^bb1, ^bb2 | |
^bb1: // pred: ^bb0 | |
%2 = tensor.empty() : tensor<2x4xf32> | |
flow.return %2 : tensor<2x4xf32> | |
^bb2: // pred: ^bb0 |
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latest.mlir:3:10: error: 'func.func' op unhandled function with multiple blocks | |
%0 = flow.dispatch.region -> (tensor<2x4xf32>) { | |
^ | |
latest.mlir:2:3: note: called from | |
func.func @simple_test_with_cfg(%arg0: i8) -> tensor<2x4xf32> { | |
^ | |
latest.mlir:3:10: note: see current operation: | |
"func.func"() <{function_type = () -> (), sym_name = "simple_test_with_cfg_dispatch_0"}> ({ | |
%0 = "arith.constant"() <{value = 0 : index}> : () -> index | |
%1 = "arith.constant"() <{value = 0 : i8}> : () -> i8 |