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|
// DEFINE: %{option} = enable-runtime-library=true
// DEFINE: %{compile} = mlir-opt %s --sparse-compiler=%{option}
// DEFINE: %{run} = mlir-cpu-runner \
// DEFINE: -e entry -entry-point-result=void \
// DEFINE: -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils | \
// DEFINE: FileCheck %s
//
// RUN: %{compile} | %{run}
//
// Do the same run, but now with direct IR generation.
// REDEFINE: %{option} = enable-runtime-library=false
// RUN: %{compile} | %{run}
//
// Do the same run, but now with direct IR generation and vectorization.
// REDEFINE: %{option} = "enable-runtime-library=false vl=2 reassociate-fp-reductions=true enable-index-optimizations=true"
// RUN: %{compile} | %{run}
// Do the same run, but now with direct IR generation and, if available, VLA
// vectorization.
// REDEFINE: %{option} = "enable-runtime-library=false vl=4 enable-arm-sve=%ENABLE_VLA"
// REDEFINE: %{run} = %lli_host_or_aarch64_cmd \
// REDEFINE: --entry-function=entry_lli \
// REDEFINE: --extra-module=%S/Inputs/main_for_lli.ll \
// REDEFINE: %VLA_ARCH_ATTR_OPTIONS \
// REDEFINE: --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
// REDEFINE: FileCheck %s
// RUN: %{compile} | mlir-translate -mlir-to-llvmir | %{run}
#Tensor1 = #sparse_tensor.encoding<{
lvlTypes = [ "compressed", "compressed", "compressed" ],
dimToLvl = affine_map<(i,j,k) -> (i,j,k)>
}>
#Tensor2 = #sparse_tensor.encoding<{
lvlTypes = [ "compressed", "compressed", "compressed" ],
dimToLvl = affine_map<(i,j,k) -> (j,k,i)>
}>
#Tensor3 = #sparse_tensor.encoding<{
lvlTypes = [ "compressed", "compressed", "compressed" ],
dimToLvl = affine_map<(i,j,k) -> (k,i,j)>
}>
#Tensor4 = #sparse_tensor.encoding<{
lvlTypes = [ "dense", "compressed", "compressed" ],
dimToLvl = affine_map<(i,j,k) -> (i,j,k)>
}>
#Tensor5 = #sparse_tensor.encoding<{
lvlTypes = [ "dense", "compressed", "compressed" ],
dimToLvl = affine_map<(i,j,k) -> (j,k,i)>
}>
#Tensor6 = #sparse_tensor.encoding<{
lvlTypes = [ "dense", "compressed", "compressed" ],
dimToLvl = affine_map<(i,j,k) -> (k,i,j)>
}>
//
// Integration test that tests conversions from sparse to dense tensors.
//
module {
//
// Utilities for output.
//
func.func @dump_234(%arg0: tensor<2x3x4xf64>) {
%c0 = arith.constant 0 : index
%d0 = arith.constant -1.0 : f64
%0 = vector.transfer_read %arg0[%c0, %c0, %c0], %d0: tensor<2x3x4xf64>, vector<2x3x4xf64>
vector.print %0 : vector<2x3x4xf64>
return
}
func.func @dump_p34(%arg0: tensor<?x3x4xf64>) {
%0 = tensor.cast %arg0 : tensor<?x3x4xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
func.func @dump_2p4(%arg0: tensor<2x?x4xf64>) {
%0 = tensor.cast %arg0 : tensor<2x?x4xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
func.func @dump_23p(%arg0: tensor<2x3x?xf64>) {
%0 = tensor.cast %arg0 : tensor<2x3x?xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
func.func @dump_2pp(%arg0: tensor<2x?x?xf64>) {
%0 = tensor.cast %arg0 : tensor<2x?x?xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
func.func @dump_p3p(%arg0: tensor<?x3x?xf64>) {
%0 = tensor.cast %arg0 : tensor<?x3x?xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
func.func @dump_pp4(%arg0: tensor<?x?x4xf64>) {
%0 = tensor.cast %arg0 : tensor<?x?x4xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
func.func @dump_ppp(%arg0: tensor<?x?x?xf64>) {
%0 = tensor.cast %arg0 : tensor<?x?x?xf64> to tensor<2x3x4xf64>
call @dump_234(%0) : (tensor<2x3x4xf64>) -> ()
return
}
//
// Main driver.
//
func.func @entry() {
//
// Initialize a 3-dim dense tensor.
//
%src = arith.constant dense<[
[ [ 1.0, 2.0, 3.0, 4.0 ],
[ 5.0, 6.0, 7.0, 8.0 ],
[ 9.0, 10.0, 11.0, 12.0 ] ],
[ [ 13.0, 14.0, 15.0, 16.0 ],
[ 17.0, 18.0, 19.0, 20.0 ],
[ 21.0, 22.0, 23.0, 24.0 ] ]
]> : tensor<2x3x4xf64>
//
// Convert dense tensor directly to various sparse tensors.
//
%s2341 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor1>
%s2342 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor2>
%s2343 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor3>
%s2344 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor4>
%s2345 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor5>
%s2346 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x4xf64, #Tensor6>
// NOTE: We commented out most cases with the dynamic-sized output tensor because finishing
// all of them are currently taking too long, and they are not covering too many new code
// paths.
%sp344 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<?x3x4xf64, #Tensor4>
// %sp345 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<?x3x4xf64, #Tensor5>
// %sp346 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<?x3x4xf64, #Tensor6>
// %s2p44 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x4xf64, #Tensor4>
%s2p45 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x4xf64, #Tensor5>
// %s2p46 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x4xf64, #Tensor6>
// %s23p4 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x?xf64, #Tensor4>
// %s23p5 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x?xf64, #Tensor5>
%s23p6 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x3x?xf64, #Tensor6>
// %s2pp4 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x?xf64, #Tensor4>
// %s2pp5 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x?xf64, #Tensor5>
// %s2pp6 = sparse_tensor.convert %src : tensor<2x3x4xf64> to tensor<2x?x?xf64, #Tensor6>
//
// Convert sparse tensor back to dense.
//
%d2341 = sparse_tensor.convert %s2341 : tensor<2x3x4xf64, #Tensor1> to tensor<2x3x4xf64>
%d2342 = sparse_tensor.convert %s2342 : tensor<2x3x4xf64, #Tensor2> to tensor<2x3x4xf64>
%d2343 = sparse_tensor.convert %s2343 : tensor<2x3x4xf64, #Tensor3> to tensor<2x3x4xf64>
%d2344 = sparse_tensor.convert %s2344 : tensor<2x3x4xf64, #Tensor4> to tensor<2x3x4xf64>
%d2345 = sparse_tensor.convert %s2345 : tensor<2x3x4xf64, #Tensor5> to tensor<2x3x4xf64>
%d2346 = sparse_tensor.convert %s2346 : tensor<2x3x4xf64, #Tensor6> to tensor<2x3x4xf64>
%dp344 = sparse_tensor.convert %sp344 : tensor<?x3x4xf64, #Tensor4> to tensor<?x3x4xf64>
// %dp345 = sparse_tensor.convert %sp345 : tensor<?x3x4xf64, #Tensor5> to tensor<?x3x4xf64>
// %dp346 = sparse_tensor.convert %sp346 : tensor<?x3x4xf64, #Tensor6> to tensor<?x3x4xf64>
// %d2p44 = sparse_tensor.convert %s2p44 : tensor<2x?x4xf64, #Tensor4> to tensor<2x?x4xf64>
%d2p45 = sparse_tensor.convert %s2p45 : tensor<2x?x4xf64, #Tensor5> to tensor<2x?x4xf64>
// %d2p46 = sparse_tensor.convert %s2p46 : tensor<2x?x4xf64, #Tensor6> to tensor<2x?x4xf64>
// %d23p4 = sparse_tensor.convert %s23p4 : tensor<2x3x?xf64, #Tensor4> to tensor<2x3x?xf64>
// %d23p5 = sparse_tensor.convert %s23p5 : tensor<2x3x?xf64, #Tensor5> to tensor<2x3x?xf64>
%d23p6 = sparse_tensor.convert %s23p6 : tensor<2x3x?xf64, #Tensor6> to tensor<2x3x?xf64>
// %d2pp4 = sparse_tensor.convert %s2pp4 : tensor<2x?x?xf64, #Tensor4> to tensor<2x?x?xf64>
// %d2pp5 = sparse_tensor.convert %s2pp5 : tensor<2x?x?xf64, #Tensor5> to tensor<2x?x?xf64>
// %d2pp6 = sparse_tensor.convert %s2pp6 : tensor<2x?x?xf64, #Tensor6> to tensor<2x?x?xf64>
%dp3p4 = sparse_tensor.convert %sp344 : tensor<?x3x4xf64, #Tensor4> to tensor<?x3x?xf64>
// %dp3p5 = sparse_tensor.convert %sp345 : tensor<?x3x4xf64, #Tensor5> to tensor<?x3x?xf64>
// %dp3p6 = sparse_tensor.convert %sp346 : tensor<?x3x4xf64, #Tensor6> to tensor<?x3x?xf64>
// %dpp44 = sparse_tensor.convert %s2p44 : tensor<2x?x4xf64, #Tensor4> to tensor<?x?x4xf64>
%dpp45 = sparse_tensor.convert %s2p45 : tensor<2x?x4xf64, #Tensor5> to tensor<?x?x4xf64>
// %dpp46 = sparse_tensor.convert %s2p46 : tensor<2x?x4xf64, #Tensor6> to tensor<?x?x4xf64>
// %dppp4 = sparse_tensor.convert %s2pp4 : tensor<2x?x?xf64, #Tensor4> to tensor<?x?x?xf64>
// %dppp5 = sparse_tensor.convert %s2pp5 : tensor<2x?x?xf64, #Tensor5> to tensor<?x?x?xf64>
// %dppp6 = sparse_tensor.convert %s2pp6 : tensor<2x?x?xf64, #Tensor6> to tensor<?x?x?xf64>
//
// Check round-trip equality. And release dense tensors.
// CHECK-COUNT-12: ( ( ( 1, 2, 3, 4 ), ( 5, 6, 7, 8 ), ( 9, 10, 11, 12 ) ), ( ( 13, 14, 15, 16 ), ( 17, 18, 19, 20 ), ( 21, 22, 23, 24 ) ) )
// was COUNT-28 before.
call @dump_234(%src) : (tensor<2x3x4xf64>) -> ()
call @dump_234(%d2341) : (tensor<2x3x4xf64>) -> ()
call @dump_234(%d2342) : (tensor<2x3x4xf64>) -> ()
call @dump_234(%d2343) : (tensor<2x3x4xf64>) -> ()
call @dump_234(%d2344) : (tensor<2x3x4xf64>) -> ()
call @dump_234(%d2345) : (tensor<2x3x4xf64>) -> ()
call @dump_234(%d2346) : (tensor<2x3x4xf64>) -> ()
call @dump_p34(%dp344) : (tensor<?x3x4xf64>) -> ()
// call @dump_p34(%dp345) : (tensor<?x3x4xf64>) -> ()
// call @dump_p34(%dp346) : (tensor<?x3x4xf64>) -> ()
// call @dump_2p4(%d2p44) : (tensor<2x?x4xf64>) -> ()
call @dump_2p4(%d2p45) : (tensor<2x?x4xf64>) -> ()
// call @dump_2p4(%d2p46) : (tensor<2x?x4xf64>) -> ()
// call @dump_23p(%d23p4) : (tensor<2x3x?xf64>) -> ()
// call @dump_23p(%d23p5) : (tensor<2x3x?xf64>) -> ()
call @dump_23p(%d23p6) : (tensor<2x3x?xf64>) -> ()
// call @dump_2pp(%d2pp4) : (tensor<2x?x?xf64>) -> ()
// call @dump_2pp(%d2pp5) : (tensor<2x?x?xf64>) -> ()
// call @dump_2pp(%d2pp6) : (tensor<2x?x?xf64>) -> ()
call @dump_p3p(%dp3p4) : (tensor<?x3x?xf64>) -> ()
// call @dump_p3p(%dp3p5) : (tensor<?x3x?xf64>) -> ()
// call @dump_p3p(%dp3p6) : (tensor<?x3x?xf64>) -> ()
// call @dump_pp4(%dpp44) : (tensor<?x?x4xf64>) -> ()
call @dump_pp4(%dpp45) : (tensor<?x?x4xf64>) -> ()
// call @dump_pp4(%dpp46) : (tensor<?x?x4xf64>) -> ()
// call @dump_ppp(%dppp4) : (tensor<?x?x?xf64>) -> ()
// call @dump_ppp(%dppp5) : (tensor<?x?x?xf64>) -> ()
// call @dump_ppp(%dppp6) : (tensor<?x?x?xf64>) -> ()
//
// Release sparse tensors.
//
bufferization.dealloc_tensor %s2341 : tensor<2x3x4xf64, #Tensor1>
bufferization.dealloc_tensor %s2342 : tensor<2x3x4xf64, #Tensor2>
bufferization.dealloc_tensor %s2343 : tensor<2x3x4xf64, #Tensor3>
bufferization.dealloc_tensor %s2344 : tensor<2x3x4xf64, #Tensor4>
bufferization.dealloc_tensor %s2345 : tensor<2x3x4xf64, #Tensor5>
bufferization.dealloc_tensor %s2346 : tensor<2x3x4xf64, #Tensor6>
bufferization.dealloc_tensor %sp344 : tensor<?x3x4xf64, #Tensor4>
// bufferization.dealloc_tensor %sp345 : tensor<?x3x4xf64, #Tensor5>
// bufferization.dealloc_tensor %sp346 : tensor<?x3x4xf64, #Tensor6>
// bufferization.dealloc_tensor %s2p44 : tensor<2x?x4xf64, #Tensor4>
bufferization.dealloc_tensor %s2p45 : tensor<2x?x4xf64, #Tensor5>
// bufferization.dealloc_tensor %s2p46 : tensor<2x?x4xf64, #Tensor6>
// bufferization.dealloc_tensor %s23p4 : tensor<2x3x?xf64, #Tensor4>
// bufferization.dealloc_tensor %s23p5 : tensor<2x3x?xf64, #Tensor5>
bufferization.dealloc_tensor %s23p6 : tensor<2x3x?xf64, #Tensor6>
// bufferization.dealloc_tensor %s2pp4 : tensor<2x?x?xf64, #Tensor4>
// bufferization.dealloc_tensor %s2pp5 : tensor<2x?x?xf64, #Tensor5>
// bufferization.dealloc_tensor %s2pp6 : tensor<2x?x?xf64, #Tensor6>
return
}
}
|
