diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/space_to_depth_float_1.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/space_to_depth_float_1.model.cpp | 24 |
1 files changed, 0 insertions, 24 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/space_to_depth_float_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/space_to_depth_float_1.model.cpp deleted file mode 100644 index 764318627..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/space_to_depth_float_1.model.cpp +++ /dev/null @@ -1,24 +0,0 @@ -// Generated file (from: space_to_depth_float_1.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type1(Type::INT32, {}); - OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); - OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 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}; - model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {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(); -} |