diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp new file mode 100644 index 000000000..e074783e5 --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/batch_to_space_float_1.model.cpp @@ -0,0 +1,24 @@ +// Generated file (from: batch_to_space_float_1.mod.py). Do not edit +void CreateModel(Model *model) { + OperandType type2(Type::TENSOR_FLOAT32, {1, 4, 4, 1}); + OperandType type0(Type::TENSOR_FLOAT32, {4, 2, 2, 1}); + OperandType type1(Type::TENSOR_INT32, {2}); + // Phase 1, operands + auto input = model->addOperand(&type0); + auto block_size = model->addOperand(&type1); + auto output = model->addOperand(&type2); + // Phase 2, operations + static int32_t block_size_init[] = {2, 2}; + model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); + model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {input, block_size}, {output}); + // Phase 3, inputs and outputs + model->identifyInputsAndOutputs( + {input}, + {output}); + assert(model->isValid()); +} + +bool is_ignored(int i) { + static std::set<int> ignore = {}; + return ignore.find(i) != ignore.end(); +} |