diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp | 28 |
1 files changed, 0 insertions, 28 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp deleted file mode 100644 index dec9d81ca..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/mean_quant8_2.model.cpp +++ /dev/null @@ -1,28 +0,0 @@ -// Generated file (from: mean_quant8_2.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type2(Type::INT32, {}); - OperandType type1(Type::TENSOR_INT32, {2}); - OperandType type3(Type::TENSOR_QUANT8_ASYMM, {1, 3, 1}, 0.8, 5); - OperandType type0(Type::TENSOR_QUANT8_ASYMM, {4, 3, 2}, 0.8, 5); - // Phase 1, operands - auto input = model->addOperand(&type0); - auto axis = model->addOperand(&type1); - auto keepDims = model->addOperand(&type2); - auto output = model->addOperand(&type3); - // Phase 2, operations - static int32_t axis_init[] = {0, 2}; - model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2); - static int32_t keepDims_init[] = {1}; - model->setOperandValue(keepDims, keepDims_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_MEAN, {input, axis, keepDims}, {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(); -} |