diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/max_pool_float_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/max_pool_float_2.model.cpp | 33 |
1 files changed, 0 insertions, 33 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/max_pool_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/max_pool_float_2.model.cpp deleted file mode 100644 index a0b89e167..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/max_pool_float_2.model.cpp +++ /dev/null @@ -1,33 +0,0 @@ -// Generated file (from: max_pool_float_2.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type1(Type::INT32, {}); - OperandType type2(Type::TENSOR_FLOAT32, {5, 2, 3, 3}); - OperandType type0(Type::TENSOR_FLOAT32, {5, 50, 70, 3}); - // Phase 1, operands - auto i0 = model->addOperand(&type0); - auto stride = model->addOperand(&type1); - auto filter = model->addOperand(&type1); - auto padding = model->addOperand(&type1); - auto activation = model->addOperand(&type1); - auto output = model->addOperand(&type2); - // Phase 2, operations - static int32_t stride_init[] = {20}; - model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); - static int32_t filter_init[] = {20}; - model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1); - static int32_t padding_init[] = {0}; - model->setOperandValue(padding, padding_init, sizeof(int32_t) * 1); - static int32_t activation_init[] = {0}; - model->setOperandValue(activation, activation_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output}); - // Phase 3, inputs and outputs - model->identifyInputsAndOutputs( - {i0}, - {output}); - assert(model->isValid()); -} - -bool is_ignored(int i) { - static std::set<int> ignore = {}; - return ignore.find(i) != ignore.end(); -} |