derek.holloway
7502bf64a4
CodeQL / Analyze (actions) (push) Canceled after 0s
CodeQL / Analyze (python) (push) Canceled after 0s
pre-commit / pre-commit (push) Canceled after 0s
Multi-Arch CI / setup (push) Canceled after 0s
Publish build_manylinux_x86_64 images / publish_build_manylinux_x86_64 (push) Canceled after 0s
Setup (Multi-Arch) / setup (push) Canceled after 0s
Multi-Arch CI / Linux::${{ fromJSON(needs.setup.outputs.linux_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubi10 image / publish_no_rocm_image_ubi10 (push) Canceled after 0s
Multi-Arch CI / Windows::${{ fromJSON(needs.setup.outputs.windows_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Multi-Arch CI / Manifest Diff (push) Canceled after 0s
TheRock Manifest Diff Report / Generate Manifest Diff Report (push) Canceled after 0s
Multi-Arch CI / CI Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_ocl_rt images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_rocgdb images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Unit Tests / Unit Tests :: ubuntu-24.04 (push) Canceled after 0s
Unit Tests / Unit Tests :: windows-2022 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_media (push) Canceled after 0s
Unit Tests / Unit Tests Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_openmpi (push) Canceled after 0s
145 lines
8.0 KiB
MLIR
145 lines
8.0 KiB
MLIR
// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification | FileCheck %s
|
|
|
|
//
|
|
// A SDDMM implementation with "spy" function and
|
|
// in-place update of the sampling sparse matrix.
|
|
//
|
|
|
|
#SM = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }>
|
|
|
|
#trait_sampled_dense_dense = {
|
|
indexing_maps = [
|
|
affine_map<(i,j,k) -> (i,k)>, // A
|
|
affine_map<(i,j,k) -> (k,j)>, // B
|
|
affine_map<(i,j,k) -> (i,j)> // S
|
|
],
|
|
iterator_types = ["parallel", "parallel", "reduction"],
|
|
doc = "S(i,j) += spy[S(i,j)] x SUM_k A(i,k) B(k,j)"
|
|
}
|
|
|
|
// CHECK-LABEL: func.func @sparse_sampled_dd(
|
|
// CHECK-SAME: %[[VAL_0:.*0]]: tensor<8x8xf64>,
|
|
// CHECK-SAME: %[[VAL_1:.*1]]: tensor<8x8xf64>,
|
|
// CHECK-SAME: %[[VAL_2:.*2]]: tensor<8x8xf64, #sparse{{[0-9]*}}>) -> tensor<8x8xf64, #sparse{{[0-9]*}}> {
|
|
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 8 : index
|
|
// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 0 : index
|
|
// CHECK-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
|
|
// CHECK-DAG: %[[VAL_6:.*]] = bufferization.to_buffer %[[VAL_0]] : tensor<8x8xf64> to memref<8x8xf64>
|
|
// CHECK-DAG: %[[VAL_7:.*]] = bufferization.to_buffer %[[VAL_1]] : tensor<8x8xf64> to memref<8x8xf64>
|
|
// CHECK-DAG: %[[VAL_8:.*]] = sparse_tensor.positions %[[VAL_2]] {level = 1 : index} : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xindex>
|
|
// CHECK-DAG: %[[VAL_9:.*]] = sparse_tensor.coordinates %[[VAL_2]] {level = 1 : index} : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xindex>
|
|
// CHECK-DAG: %[[VAL_10:.*]] = sparse_tensor.values %[[VAL_2]] : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xf64>
|
|
// CHECK: scf.for %[[VAL_11:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
|
|
// CHECK: scf.for %[[VAL_12:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
|
|
// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_11]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_14:.*]] = arith.addi %[[VAL_11]], %[[VAL_5]] : index
|
|
// CHECK: %[[VAL_15:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_14]]] : memref<?xindex>
|
|
// CHECK: scf.for %[[VAL_16:.*]] = %[[VAL_13]] to %[[VAL_15]] step %[[VAL_5]] {
|
|
// CHECK: %[[VAL_17:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_16]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_18:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_16]]] : memref<?xf64>
|
|
// CHECK: %[[VAL_19:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_11]], %[[VAL_12]]] : memref<8x8xf64>
|
|
// CHECK: %[[VAL_20:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_12]], %[[VAL_17]]] : memref<8x8xf64>
|
|
// CHECK: %[[VAL_21:.*]] = arith.mulf %[[VAL_19]], %[[VAL_20]] : f64
|
|
// CHECK: %[[VAL_22:.*]] = arith.addf %[[VAL_18]], %[[VAL_21]] : f64
|
|
// CHECK: memref.store %[[VAL_22]], %[[VAL_10]]{{\[}}%[[VAL_16]]] : memref<?xf64>
|
|
// CHECK: } {"Emitted from" = "linalg.generic"}
|
|
// CHECK: } {"Emitted from" = "linalg.generic"}
|
|
// CHECK: } {"Emitted from" = "linalg.generic"}
|
|
// CHECK: %[[VAL_23:.*]] = sparse_tensor.load %[[VAL_2]] : tensor<8x8xf64, #sparse{{[0-9]*}}>
|
|
// CHECK: return %[[VAL_23]] : tensor<8x8xf64, #sparse{{[0-9]*}}>
|
|
// CHECK: }
|
|
func.func @sparse_sampled_dd(%argA: tensor<8x8xf64>,
|
|
%argB: tensor<8x8xf64>,
|
|
%argS: tensor<8x8xf64, #SM>) -> tensor<8x8xf64, #SM> {
|
|
%f0 = arith.constant 0.0 : f64
|
|
%result = linalg.generic #trait_sampled_dense_dense
|
|
ins(%argA, %argB: tensor<8x8xf64>, tensor<8x8xf64>) outs(%argS: tensor<8x8xf64, #SM>) {
|
|
^bb(%a: f64, %b: f64, %s: f64):
|
|
%u = sparse_tensor.unary %s : f64 to f64
|
|
present={
|
|
^bb0(%p: f64):
|
|
%mul = arith.mulf %a, %b : f64
|
|
sparse_tensor.yield %mul : f64
|
|
}
|
|
absent={}
|
|
%r = sparse_tensor.reduce %s, %u, %f0 : f64 {
|
|
^bb0(%p: f64, %q: f64):
|
|
%add = arith.addf %p, %q : f64
|
|
sparse_tensor.yield %add : f64
|
|
}
|
|
linalg.yield %r : f64
|
|
} -> tensor<8x8xf64, #SM>
|
|
return %result : tensor<8x8xf64, #SM>
|
|
}
|
|
|
|
//
|
|
// Variant where the present block directly captures the sparse input (%s).
|
|
// This previously crashed with an assertion failure in relinkBranch.
|
|
//
|
|
|
|
#trait_sddmm_scaled = {
|
|
indexing_maps = [
|
|
affine_map<(i,j,k) -> (i,k)>, // A
|
|
affine_map<(i,j,k) -> (k,j)>, // B
|
|
affine_map<(i,j,k) -> (i,j)> // S
|
|
],
|
|
iterator_types = ["parallel", "parallel", "reduction"],
|
|
doc = "S(i,j) += S(i,j) * SUM_k A(i,k) B(k,j)"
|
|
}
|
|
|
|
// CHECK-LABEL: func.func @sparse_unary_captures_sparse_arg(
|
|
// CHECK-SAME: %[[VAL_0:.*0]]: tensor<8x8xf64>,
|
|
// CHECK-SAME: %[[VAL_1:.*1]]: tensor<8x8xf64>,
|
|
// CHECK-SAME: %[[VAL_2:.*2]]: tensor<8x8xf64, #sparse{{[0-9]*}}>) -> tensor<8x8xf64, #sparse{{[0-9]*}}> {
|
|
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 8 : index
|
|
// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 0 : index
|
|
// CHECK-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
|
|
// CHECK-DAG: %[[VAL_6:.*]] = bufferization.to_buffer %[[VAL_0]] : tensor<8x8xf64> to memref<8x8xf64>
|
|
// CHECK-DAG: %[[VAL_7:.*]] = bufferization.to_buffer %[[VAL_1]] : tensor<8x8xf64> to memref<8x8xf64>
|
|
// CHECK-DAG: %[[VAL_8:.*]] = sparse_tensor.values %[[VAL_2]] : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xf64>
|
|
// CHECK-DAG: %[[VAL_9:.*]] = sparse_tensor.positions %[[VAL_2]] {level = 1 : index} : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xindex>
|
|
// CHECK-DAG: %[[VAL_10:.*]] = sparse_tensor.coordinates %[[VAL_2]] {level = 1 : index} : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xindex>
|
|
// CHECK: scf.for %[[VAL_11:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
|
|
// CHECK: scf.for %[[VAL_12:.*]] = %[[VAL_4]] to %[[VAL_3]] step %[[VAL_5]] {
|
|
// CHECK: scf.for %[[VAL_13:.*]] = {{.*}} to {{.*}} step %[[VAL_5]] {
|
|
// CHECK: %[[VAL_14:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_13]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_15:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_13]]] : memref<?xf64>
|
|
// CHECK: %[[VAL_16:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_11]], %[[VAL_12]]] : memref<8x8xf64>
|
|
// CHECK: %[[VAL_17:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_12]], %[[VAL_14]]] : memref<8x8xf64>
|
|
// CHECK: %[[VAL_18:.*]] = arith.mulf %[[VAL_16]], %[[VAL_17]] : f64
|
|
// CHECK: %[[VAL_19:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_13]]] : memref<?xf64>
|
|
// CHECK: %[[VAL_20:.*]] = arith.mulf %[[VAL_19]], %[[VAL_18]] : f64
|
|
// CHECK: %[[VAL_21:.*]] = arith.addf %[[VAL_15]], %[[VAL_20]] : f64
|
|
// CHECK: memref.store %[[VAL_21]], %[[VAL_8]]{{\[}}%[[VAL_13]]] : memref<?xf64>
|
|
// CHECK: } {"Emitted from" = "linalg.generic"}
|
|
// CHECK: } {"Emitted from" = "linalg.generic"}
|
|
// CHECK: } {"Emitted from" = "linalg.generic"}
|
|
// CHECK: return
|
|
// CHECK: }
|
|
func.func @sparse_unary_captures_sparse_arg(%argA: tensor<8x8xf64>,
|
|
%argB: tensor<8x8xf64>,
|
|
%argS: tensor<8x8xf64, #SM>) -> tensor<8x8xf64, #SM> {
|
|
%f0 = arith.constant 0.0 : f64
|
|
%result = linalg.generic #trait_sddmm_scaled
|
|
ins(%argA, %argB: tensor<8x8xf64>, tensor<8x8xf64>) outs(%argS: tensor<8x8xf64, #SM>) {
|
|
^bb(%a: f64, %b: f64, %s: f64):
|
|
// The present block captures %s (a sparse tensor block arg) directly.
|
|
// This used to crash in relinkBranch with an assertion failure.
|
|
%u = sparse_tensor.unary %s : f64 to f64
|
|
present={
|
|
^bb0(%p: f64):
|
|
%mul1 = arith.mulf %a, %b : f64
|
|
%mul2 = arith.mulf %s, %mul1 : f64
|
|
sparse_tensor.yield %mul2 : f64
|
|
}
|
|
absent={}
|
|
%r = sparse_tensor.reduce %s, %u, %f0 : f64 {
|
|
^bb0(%p: f64, %q: f64):
|
|
%add = arith.addf %p, %q : f64
|
|
sparse_tensor.yield %add : f64
|
|
}
|
|
linalg.yield %r : f64
|
|
} -> tensor<8x8xf64, #SM>
|
|
return %result : tensor<8x8xf64, #SM>
|
|
}
|