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| // -----// IR Dump After LLVMCPUSelectLoweringStrategyPass (iree-llvmcpu-select-lowering-strategy) //----- // | |
| #config = #iree_codegen.lowering_config<tile_sizes = [[1, 1, 0, 0], [1, 1, 0, 2], [0, 0, 0, 0], [0, 0, 1, 0]]> | |
| #config1 = #iree_codegen.lowering_config<tile_sizes = [[1, 1, 0, 0, 0, 0], [1, 1, 0, 2, 16, 0], [0, 0, 1, 0, 0, 1]]> | |
| #executable_target_embedded_elf_x86_64 = #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", {cpu = "generic", cpu_features = "", data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128", iree.encoding.resolver = #iree_cpu.cpu_encoding_layout<>, max_stack_allocation_size = 32768 : i64, native_vector_size = 16 : i64, target_triple = "x86_64-unknown-unknown-eabi-elf", ukernels = "none"}> | |
| #map = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)> | |
| #map1 = affine_map<(d0, d1, d2, d3) -> (d0, d2)> | |
| #pipeline_layout = #hal.pipeline.layout<constants = 10, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.bindi |
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| // -----// IR Dump After LLVMCPUSelectLoweringStrategyPass (iree-llvmcpu-select-lowering-strategy) //----- // | |
| #config = #iree_codegen.lowering_config<tile_sizes = [[1, 1, 0, 0], [1, 1, 0, 2], [0, 0, 0, 0], [0, 0, 1, 0]]> | |
| #config1 = #iree_codegen.lowering_config<tile_sizes = [[1, 1, 0, 0, 0, 0], [1, 1, 0, 2, 16, 0], [0, 0, 1, 0, 0, 1]]> | |
| #executable_target_embedded_elf_x86_64 = #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", {cpu = "generic", cpu_features = "", data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128", iree.encoding.resolver = #iree_cpu.cpu_encoding_layout<>, max_stack_allocation_size = 32768 : i64, native_vector_size = 16 : i64, target_triple = "x86_64-unknown-unknown-eabi-elf", ukernels = "none"}> | |
| #map = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)> | |
| #map1 = affine_map<(d0, d1, d2, d3) -> (d0, d2)> | |
| #pipeline_layout = #hal.pipeline.layout<constants = 10, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.bindi |
pashu123
/ test_forall.mlir
Created
May 22, 2025 20:42
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| #executable_target_embedded_elf_x86_64 = #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", {cpu = "generic", cpu_features = "", data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128", iree.encoding.resolver = #iree_cpu.cpu_encoding_layout<>, max_stack_allocation_size = 32768 : i64, native_vector_size = 16 : i64, target_triple = "x86_64-unknown-unknown-eabi-elf", ukernels = "none"}> | |
| #map = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)> | |
| #map1 = affine_map<(d0, d1, d2, d3) -> (d0, d2)> | |
| #pipeline_layout = #hal.pipeline.layout<constants = 10, bindings = [#hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, "ReadOnly|Indirect">, #hal.pipeline.binding<storage_buffer, Indirect>], flags = Indirect> | |
| module { | |
| func.func @mmt4d_bias_relu_dispatch_0_mmt4d_DxDxDx16x16x1_f32() attributes {hal.executable.target = #executable_target_embedded_elf_x86_64} { | |
| %c0 = arith. |
pashu123
/ repro_logs.txt
Created
May 21, 2025 23:11
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| // -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
| #map = affine_map<(d0, d1) -> (d0, d1)> | |
| module { | |
| func.func @foo(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> { | |
| %c0 = arith.constant 0 : index | |
| %c1 = arith.constant 1 : index | |
| %dim = tensor.dim %arg0, %c0 : tensor<?x?xf32> | |
| %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32> | |
| %cst = arith.constant 0.000000e+00 : f32 | |
| %0 = tensor.empty(%dim, %dim_0) : tensor<?x?xf32> |
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| #map = affine_map<(d0, d1) -> (d0, d1)> | |
| module { | |
| func.func @foo(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> { | |
| %c0 = arith.constant 0 : index | |
| %c1 = arith.constant 1 : index | |
| %dim = tensor.dim %arg0, %c0 : tensor<?x?xf32> | |
| %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32> | |
| %cst = arith.constant 0.000000e+00 : f32 | |
| %0 = tensor.empty(%dim, %dim_0) : tensor<?x?xf32> | |
| %1 = linalg.fill ins(%cst : f32) outs(%0 : tensor<?x?xf32>) -> tensor<?x?xf32> |
pashu123
/ repro_logs.txt
Created
May 21, 2025 21:22
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| // -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
| #map = affine_map<(d0, d1) -> (d0, d1)> | |
| module { | |
| func.func @foo(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> { | |
| %c0 = arith.constant 0 : index | |
| %c1 = arith.constant 1 : index | |
| %dim = tensor.dim %arg0, %c0 : tensor<?x?xf32> | |
| %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32> | |
| %cst = arith.constant 0.000000e+00 : f32 | |
| %0 = tensor.empty(%dim, %dim_0) : tensor<?x?xf32> |
pashu123
/ repro_logs.txt
Created
May 21, 2025 21:03
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| // -----// IR Dump After AutoInputConversionPipelinePass (iree-auto-input-conversion) //----- // | |
| #map = affine_map<(d0, d1) -> (d0, d1)> | |
| module { | |
| func.func @foo(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> { | |
| %c0 = arith.constant 0 : index | |
| %c1 = arith.constant 1 : index | |
| %dim = tensor.dim %arg0, %c0 : tensor<?x?xf32> | |
| %dim_0 = tensor.dim %arg1, %c1 : tensor<?x?xf32> | |
| %cst = arith.constant 0.000000e+00 : f32 | |
| %0 = tensor.empty(%dim, %dim_0) : tensor<?x?xf32> |
pashu123
/ 8b_fp8.mlir
Created
May 14, 2025 22:58
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| #map = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d3)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d4, d3)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d4, d2)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4) -> (d1, d4)> | |
| #map5 = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2)> | |
| module @module { | |
| util.global private @__auto.token_embd.weight = #stream.parameter.named<"model"::"token_embd.weight"> : tensor<128256x4096xbf16> | |
| util.global private @__auto.blk.0.attn_norm.weight = #stream.parameter.named<"model"::"blk.0.attn_norm.weight"> : tensor<4096xbf16> | |
| util.global private @"__auto.blk.0.attn_q.q_input:rscale" = #stream.parameter.named<"model"::"blk.0.attn_q.q_input:rscale"> : tensor<f32> |
pashu123
/ module_decode_bs4$async_dispatch_28.mlir
Created
May 14, 2025 22:05
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| hal.executable public @decode_bs4$async_dispatch_28 { | |
| hal.executable.variant public @rocm_hsaco_fb target(<"rocm", "rocm-hsaco-fb", {abi = "hip", iree.gpu.target = #iree_gpu.target<arch = "gfx942", features = "", wgp = <compute = fp64|fp32|fp16|int64|int32|int16|int8, storage = b64|b32|b16|b8, subgroup = shuffle|arithmetic, dot = dp4xi8toi32, mma = [<MFMA_F32_16x16x16_BF16>, <MFMA_F32_32x32x8_BF16>, <MFMA_F32_16x16x32_F8E5M2FNUZ>, <MFMA_F32_16x16x32_F8E5M2FNUZ_F8E4M3FNUZ>, <MFMA_F32_16x16x32_F8E4M3FNUZ>, <MFMA_F32_16x16x32_F8E4M3FNUZ_F8E5M2FNUZ>, <MFMA_F32_32x32x16_F8E5M2FNUZ>, <MFMA_F32_32x32x16_F8E5M2FNUZ_F8E4M3FNUZ>, <MFMA_F32_32x32x16_F8E4M3FNUZ>, <MFMA_F32_32x32x16_F8E4M3FNUZ_F8E5M2FNUZ>, <MFMA_I32_16x16x32_I8>, <MFMA_I32_32x32x16_I8>, <MFMA_F64_16x16x4_F64>, <MFMA_F32_16x16x4_F32>, <MFMA_F32_16x16x16_F16>, <MFMA_F32_32x32x8_F16>], subgroup_size_choices = [64], max_workgroup_sizes = [1024, 1024, 1024], max_thread_count_per_workgroup = 1024, max_workgroup_memory_bytes = 65536, max_workgroup_counts = |
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| func.func @prefill_bs4$async_dispatch_20_elementwise_4xDx4096_bf16xf32xf32xf32xf32xf8E4M3FNUZ() attributes {translation_info = #iree_codegen.translation_info<pipeline = LLVMGPUVectorDistribute workgroup_size = [1024, 1, 1] subgroup_size = 64, {gpu_pipeline_options = #iree_gpu.pipeline_options<prefetch_shared_memory = false, no_reduce_shared_memory_bank_conflicts = false, use_igemm_convolution = false>}>} { | |
| %c32 = arith.constant 32 : index | |
| %c67108864 = arith.constant 67108864 : index | |
| %c32_i64 = arith.constant 32 : i64 | |
| %c2_i64 = arith.constant 2 : i64 | |
| %cst = arith.constant 0.000000e+00 : f32 | |
| %cst_0 = arith.constant 4.096000e+03 : f32 | |
| %cst_1 = arith.constant 9.99999974E-6 : f32 | |
| %cst_2 = arith.constant -2.400000e+02 : f32 | |
| %cst_3 = arith.constant 2.400000e+02 : f32 |
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