blob: 31299a97cc8fd9a04505719bedd6e5e83d6a3453 [file] [log] [blame]
// Generated from logical_not.mod.py
// DO NOT EDIT
// clang-format off
#include "TestGenerated.h"
namespace generated_tests::logical_not {
void CreateModel(Model *model) {
OperandType type0(Type::TENSOR_BOOL8, {1, 1, 4, 1, 1});
// Phase 1, operands
auto input0 = model->addOperand(&type0);
auto output0 = model->addOperand(&type0);
// Phase 2, operations
model->addOperation(ANEURALNETWORKS_LOGICAL_NOT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
assert(model->isValid());
}
bool is_ignored(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::logical_not
namespace generated_tests::logical_not {
void CreateModel_dynamic_output_shape(Model *model) {
OperandType type0(Type::TENSOR_BOOL8, {1, 1, 4, 1, 1});
OperandType type1(Type::TENSOR_BOOL8, {0, 0, 0, 0, 0});
// Phase 1, operands
auto input0 = model->addOperand(&type0);
auto output0 = model->addOperand(&type1);
// Phase 2, operations
model->addOperation(ANEURALNETWORKS_LOGICAL_NOT, {input0}, {output0});
// Phase 3, inputs and outputs
model->identifyInputsAndOutputs(
{input0},
{output0});
assert(model->isValid());
}
bool is_ignored_dynamic_output_shape(int i) {
static std::set<int> ignore = {};
return ignore.find(i) != ignore.end();
}
} // namespace generated_tests::logical_not