| // Copyright 2019 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // https://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // RUN: iree-run-mlir --target_backends=interpreter-bytecode %s --output_types=f | FileCheck %s |
| |
| // CHECK-LABEL: EXEC @tensor |
| func @tensor() -> tensor<4xf32> { |
| %input = constant dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf32> |
| %result = "xla_hlo.rsqrt"(%input) : (tensor<4xf32>) -> tensor<4xf32> |
| return %result : tensor<4xf32> |
| } |
| // CHECK: 4xf32=1 0.707107 0.57735 0.5 |
| |
| // ----- |
| |
| // CHECK-LABEL: EXEC @scalar |
| func @scalar() -> tensor<f32> { |
| %input = constant dense<16.0> : tensor<f32> |
| %result = "xla_hlo.rsqrt"(%input) : (tensor<f32>) -> tensor<f32> |
| return %result : tensor<f32> |
| } |
| // CHECK: f32=0.25 |
| |
| // ----- |
| |
| // CHECK-LABEL: EXEC @double |
| func @double() -> tensor<f64> { |
| %input = constant dense<16.0> : tensor<f64> |
| %result = "xla_hlo.rsqrt"(%input) : (tensor<f64>) -> tensor<f64> |
| return %result : tensor<f64> |
| } |
| // CHECK: f64=0.25 |
