diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/space_to_batch_float_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/space_to_batch_float_2.model.cpp | 28 |
1 files changed, 0 insertions, 28 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/space_to_batch_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/space_to_batch_float_2.model.cpp deleted file mode 100644 index 44dee00ce..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/space_to_batch_float_2.model.cpp +++ /dev/null @@ -1,28 +0,0 @@ -// Generated file (from: space_to_batch_float_2.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type0(Type::TENSOR_FLOAT32, {1, 5, 2, 1}); - OperandType type3(Type::TENSOR_FLOAT32, {6, 2, 2, 1}); - OperandType type2(Type::TENSOR_INT32, {2, 2}); - OperandType type1(Type::TENSOR_INT32, {2}); - // Phase 1, operands - auto input = model->addOperand(&type0); - auto block_size = model->addOperand(&type1); - auto paddings = model->addOperand(&type2); - auto output = model->addOperand(&type3); - // Phase 2, operations - static int32_t block_size_init[] = {3, 2}; - model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2); - static int32_t paddings_init[] = {1, 0, 2, 0}; - model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4); - model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {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(); -} |