[Mlir-commits] [mlir] b1b7643 - [mlir][spirv] Add integration test for `vector.deinterleave` (#95469)

[llvmlistbot at llvm.org]

Author: Angel Zhang
Date: 2024-06-14T10:12:00-04:00
New Revision: b1b7643f5e9da2f64f78e024da2db208f78e0c42

URL: https://github.com/llvm/llvm-project/commit/b1b7643f5e9da2f64f78e024da2db208f78e0c42
DIFF: https://github.com/llvm/llvm-project/commit/b1b7643f5e9da2f64f78e024da2db208f78e0c42.diff

LOG: [mlir][spirv] Add integration test for `vector.deinterleave` (#95469)

This commit is dependent on #95313.

Added: 
    mlir/test/mlir-vulkan-runner/vector-deinterleave.mlir

Modified: 
    

Removed: 
    


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diff  --git a/mlir/test/mlir-vulkan-runner/vector-deinterleave.mlir b/mlir/test/mlir-vulkan-runner/vector-deinterleave.mlir
new file mode 100644
index 0000000000000..1805452ce988f
--- /dev/null
+++ b/mlir/test/mlir-vulkan-runner/vector-deinterleave.mlir
@@ -0,0 +1,72 @@
+// RUN: mlir-vulkan-runner %s \
+// RUN:  --shared-libs=%vulkan-runtime-wrappers,%mlir_runner_utils \
+// RUN:  --entry-point-result=void | FileCheck %s
+
+// CHECK: [0, 2]
+// CHECK: [1, 3]
+module attributes {
+  gpu.container_module,
+  spirv.target_env = #spirv.target_env<
+    #spirv.vce<v1.0, [Shader], [SPV_KHR_storage_buffer_storage_class]>, #spirv.resource_limits<>>
+} {
+  gpu.module @kernels {
+    gpu.func @kernel_vector_deinterleave(%arg0 : memref<4xi32>, %arg1 : memref<2xi32>, %arg2 : memref<2xi32>)
+      kernel attributes { spirv.entry_point_abi = #spirv.entry_point_abi<workgroup_size = [1, 1, 1]>} {
+
+      %src = arith.constant dense<[0, 0, 0, 0]> : vector<4xi32>
+
+      %val0 = memref.load %arg0[0] : memref<4xi32>
+      %val1 = memref.load %arg0[1] : memref<4xi32>
+      %val2 = memref.load %arg0[2] : memref<4xi32>
+      %val3 = memref.load %arg0[3] : memref<4xi32>
+
+      %src0 = vector.insert %val0, %src[0] : i32 into vector<4xi32>
+      %src1 = vector.insert %val1, %src0[1] : i32 into vector<4xi32>
+      %src2 = vector.insert %val2, %src1[2] : i32 into vector<4xi32>
+      %src3 = vector.insert %val3, %src2[3] : i32 into vector<4xi32>
+
+      %res0, %res1 = vector.deinterleave %src3 : vector<4xi32> -> vector<2xi32>
+
+      %res0_0 = vector.extract %res0[0] : i32 from vector<2xi32>
+      %res0_1 = vector.extract %res0[1] : i32 from vector<2xi32>
+      %res1_0 = vector.extract %res1[0] : i32 from vector<2xi32>
+      %res1_1 = vector.extract %res1[1] : i32 from vector<2xi32>
+
+      memref.store %res0_0, %arg1[0]: memref<2xi32>
+      memref.store %res0_1, %arg1[1]: memref<2xi32>
+      memref.store %res1_0, %arg2[0]: memref<2xi32>
+      memref.store %res1_1, %arg2[1]: memref<2xi32>
+
+      gpu.return
+    }
+  }
+
+  func.func @main() {
+    // Allocate 3 buffers.
+    %buf0 = memref.alloc() : memref<4xi32>
+    %buf1 = memref.alloc() : memref<2xi32>
+    %buf2 = memref.alloc() : memref<2xi32>
+
+    // Initialize input buffer.
+    %buf0_vals = arith.constant dense<[0, 1, 2, 3]> : vector<4xi32>
+    vector.store %buf0_vals, %buf0[0] : memref<4xi32>, vector<4xi32>
+
+    // Initialize output buffers.
+    %value0 = arith.constant 0 : i32
+    %buf3 = memref.cast %buf1 : memref<2xi32> to memref<?xi32>
+    %buf4 = memref.cast %buf2 : memref<2xi32> to memref<?xi32>
+    call @fillResource1DInt(%buf3, %value0) : (memref<?xi32>, i32) -> ()
+    call @fillResource1DInt(%buf4, %value0) : (memref<?xi32>, i32) -> ()
+
+    gpu.launch_func @kernels::@kernel_vector_deinterleave
+        blocks in (4, 1, 1) threads in (1, 1, 1)
+        args(%buf0 : memref<4xi32>, %buf1 : memref<2xi32>, %buf2 : memref<2xi32>)
+    %buf5 = memref.cast %buf3 : memref<?xi32> to memref<*xi32>
+    %buf6 = memref.cast %buf4 : memref<?xi32> to memref<*xi32>
+    call @printMemrefI32(%buf5) : (memref<*xi32>) -> ()
+    call @printMemrefI32(%buf6) : (memref<*xi32>) -> ()
+    return
+  }
+  func.func private @fillResource1DInt(%0 : memref<?xi32>, %1 : i32)
+  func.func private @printMemrefI32(%ptr : memref<*xi32>)
+}