| // RUN: mlir-opt %s -test-nvgpu-mmasync-f32-to-tf32-patterns="precision=tf32x3" -split-input-file | FileCheck %s |
| |
| // CHECK-LABEL: m16n8k4_tf32 |
| func.func @m16n8k4_tf32(%arg0: vector<2x1xf32>, %arg1: vector<1x1xf32>, %arg2: vector<2x2xf32>) -> vector<2x2xf32> { |
| // expected-error @+1 {{TF32x3 is not supported at the moment for nvgpu.mma.sync on f32 datatype}} |
| %d = nvgpu.mma.sync (%arg0, %arg1, %arg2) {mmaShape = [16, 8, 4]} : (vector<2x1xf32>, vector<1x1xf32>, vector<2x2xf32>) -> vector<2x2xf32> |
| return %d : vector<2x2xf32> |
| } |
| |
| // ----- |
| |
| // CHECK-LABEL: m16n8k8_tf32 |
| func.func @m16n8k8_tf32(%arg0: vector<4x1xf32>, %arg1: vector<2x1xf32>, %arg2: vector<2x2xf32>) -> vector<2x2xf32> { |
| // expected-error @+1 {{TF32x3 is not supported at the moment for nvgpu.mma.sync on f32 datatype}} |
| %d = nvgpu.mma.sync (%arg0, %arg1, %arg2) {mmaShape = [16, 8, 8]} : (vector<4x1xf32>, vector<2x1xf32>, vector<2x2xf32>) -> vector<2x2xf32> |
| return %d : vector<2x2xf32> |
| } |
| // ----- |
