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// 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=i | FileCheck %s --dump-input=fail
// CHECK-LABEL: EXEC @tensor
func @tensor() -> tensor<4xi32> {
%lhs = constant dense<[1, 2, 7, 4]> : tensor<4xi32>
%rhs = constant dense<[5, 2, 3, 4]> : tensor<4xi32>
%result = "xla_hlo.min"(%lhs, %rhs) : (tensor<4xi32>, tensor<4xi32>) -> tensor<4xi32>
return %result : tensor<4xi32>
}
// CHECK: 4xi32=1 2 3 4
// -----
// CHECK-LABEL: EXEC @tensor_odd_dim
func @tensor_odd_dim() -> tensor<3xi32> {
%lhs = constant dense<[1, 2, 7]> : tensor<3xi32>
%rhs = constant dense<[5, 2, 3]> : tensor<3xi32>
%result = "xla_hlo.min"(%lhs, %rhs) : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32>
return %result : tensor<3xi32>
}
// CHECK: 3xi32=1 2 3
// -----
// CHECK-LABEL: EXEC @scalar
func @scalar() -> tensor<i32> {
%lhs = constant dense<1> : tensor<i32>
%rhs = constant dense<2> : tensor<i32>
%result = "xla_hlo.min"(%lhs, %rhs) : (tensor<i32>, tensor<i32>) -> tensor<i32>
return %result : tensor<i32>
}
// CHECK: i32=1
// -----
// CHECK-LABEL: EXEC @negative
func @negative() -> tensor<i32> {
%lhs = constant dense<1> : tensor<i32>
%rhs = constant dense<-2> : tensor<i32>
%result = "xla_hlo.min"(%lhs, %rhs) : (tensor<i32>, tensor<i32>) -> tensor<i32>
return %result : tensor<i32>
}
// CHECK: i32=-2
// -----
// CHECK-LABEL: EXEC @i16
func @i16() -> tensor<i16> {
%lhs = constant dense<1> : tensor<i16>
%rhs = constant dense<2> : tensor<i16>
%result = "xla_hlo.min"(%lhs, %rhs) : (tensor<i16>, tensor<i16>) -> tensor<i16>
return %result : tensor<i16>
}
// CHECK: i16=1
// -----
// CHECK-LABEL: EXEC @i64
func @i64() -> tensor<i64> {
%lhs = constant dense<1> : tensor<i64>
%rhs = constant dense<2> : tensor<i64>
%result = "xla_hlo.min"(%lhs, %rhs) : (tensor<i64>, tensor<i64>) -> tensor<i64>
return %result : tensor<i64>
}
// CHECK: i64=1