diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/conv_float_weights_as_inputs.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/conv_float_weights_as_inputs.model.cpp | 33 |
1 files changed, 0 insertions, 33 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/conv_float_weights_as_inputs.model.cpp b/runtimes/tests/neural_networks_test/generated/models/conv_float_weights_as_inputs.model.cpp deleted file mode 100644 index f4a1e2d0d..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/conv_float_weights_as_inputs.model.cpp +++ /dev/null @@ -1,33 +0,0 @@ -// Generated file (from: conv_float_weights_as_inputs.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type3(Type::INT32, {}); - OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1}); - OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 1}); - OperandType type2(Type::TENSOR_FLOAT32, {1}); - // Phase 1, operands - auto op1 = model->addOperand(&type0); - auto op2 = model->addOperand(&type1); - auto op3 = model->addOperand(&type2); - auto pad0 = model->addOperand(&type3); - auto act = model->addOperand(&type3); - auto stride = model->addOperand(&type3); - auto op4 = model->addOperand(&type1); - // Phase 2, operations - static int32_t pad0_init[] = {0}; - model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); - static int32_t act_init[] = {0}; - model->setOperandValue(act, act_init, sizeof(int32_t) * 1); - static int32_t stride_init[] = {1}; - model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); - // Phase 3, inputs and outputs - model->identifyInputsAndOutputs( - {op1, op2, op3}, - {op4}); - assert(model->isValid()); -} - -bool is_ignored(int i) { - static std::set<int> ignore = {}; - return ignore.find(i) != ignore.end(); -} |