| // clang-format off |
| // Generated file (from: space_to_depth_v1_2.mod.py). Do not edit |
| void CreateModel_nhwc(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type1); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_relaxed(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); |
| OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 8}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type1); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type2); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_relaxed(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_float16(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type8(Type::TENSOR_FLOAT16, {1, 2, 2, 2}); |
| OperandType type9(Type::TENSOR_FLOAT16, {1, 1, 1, 8}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type8); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type9); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_float16(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_quant8(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type10(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0); |
| OperandType type11(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 8}, 0.1f, 0); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type10); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type11); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_quant8(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); |
| OperandType type12(Type::TENSOR_FLOAT32, {1, 8, 1, 1}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type1); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type12); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_relaxed(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 2}); |
| OperandType type12(Type::TENSOR_FLOAT32, {1, 8, 1, 1}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type1); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type12); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_relaxed(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_float16(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type13(Type::TENSOR_FLOAT16, {1, 8, 1, 1}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type8(Type::TENSOR_FLOAT16, {1, 2, 2, 2}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type8); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type13); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_float16(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_quant8(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type10(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.1f, 0); |
| OperandType type14(Type::TENSOR_QUANT8_ASYMM, {1, 8, 1, 1}, 0.1f, 0); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op1 = model->addOperand(&type10); |
| auto param = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op4 = model->addOperand(&type14); |
| // Phase 2, operations |
| static int32_t param_init[] = {2}; |
| model->setOperandValue(param, param_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op1, param, layout}, {op4}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op1}, |
| {op4}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_quant8(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type4(Type::TENSOR_FLOAT32, {1, 4, 4, 1}); |
| OperandType type5(Type::TENSOR_FLOAT32, {1, 2, 2, 4}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type4); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type5); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_relaxed_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type4(Type::TENSOR_FLOAT32, {1, 4, 4, 1}); |
| OperandType type5(Type::TENSOR_FLOAT32, {1, 2, 2, 4}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type4); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type5); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_relaxed_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_float16_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type15(Type::TENSOR_FLOAT16, {1, 4, 4, 1}); |
| OperandType type16(Type::TENSOR_FLOAT16, {1, 2, 2, 4}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type15); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type16); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_float16_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_quant8_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type17(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 0.5f, 128); |
| OperandType type18(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 4}, 0.5f, 128); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type17); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type18); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_quant8_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type19(Type::TENSOR_FLOAT32, {1, 1, 4, 4}); |
| OperandType type20(Type::TENSOR_FLOAT32, {1, 4, 2, 2}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type19); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type20); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_relaxed_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type19(Type::TENSOR_FLOAT32, {1, 1, 4, 4}); |
| OperandType type20(Type::TENSOR_FLOAT32, {1, 4, 2, 2}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type19); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type20); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_relaxed_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_float16_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type21(Type::TENSOR_FLOAT16, {1, 1, 4, 4}); |
| OperandType type22(Type::TENSOR_FLOAT16, {1, 4, 2, 2}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type21); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type22); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_float16_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_quant8_2(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type23(Type::TENSOR_QUANT8_ASYMM, {1, 1, 4, 4}, 0.5f, 128); |
| OperandType type24(Type::TENSOR_QUANT8_ASYMM, {1, 4, 2, 2}, 0.5f, 128); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op11 = model->addOperand(&type23); |
| auto param1 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op41 = model->addOperand(&type24); |
| // Phase 2, operations |
| static int32_t param1_init[] = {2}; |
| model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op11}, |
| {op41}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_quant8_2(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type6(Type::TENSOR_FLOAT32, {1, 4, 4, 2}); |
| OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 2, 8}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type6); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type7); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_relaxed_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type6(Type::TENSOR_FLOAT32, {1, 4, 4, 2}); |
| OperandType type7(Type::TENSOR_FLOAT32, {1, 2, 2, 8}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type6); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type7); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_relaxed_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_float16_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type25(Type::TENSOR_FLOAT16, {1, 4, 4, 2}); |
| OperandType type26(Type::TENSOR_FLOAT16, {1, 2, 2, 8}); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type25); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type26); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_float16_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nhwc_quant8_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type27(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 2}, 1.0f, 0); |
| OperandType type28(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 8}, 1.0f, 0); |
| OperandType type3(Type::INT32, {}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type27); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type28); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {false}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nhwc_quant8_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type29(Type::TENSOR_FLOAT32, {1, 2, 4, 4}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type30(Type::TENSOR_FLOAT32, {1, 8, 2, 2}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type29); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type30); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_relaxed_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type29(Type::TENSOR_FLOAT32, {1, 2, 4, 4}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type30(Type::TENSOR_FLOAT32, {1, 8, 2, 2}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type29); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type30); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| // Phase 4: set relaxed execution |
| model->relaxComputationFloat32toFloat16(true); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_relaxed_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_float16_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type31(Type::TENSOR_FLOAT16, {1, 2, 4, 4}); |
| OperandType type32(Type::TENSOR_FLOAT16, {1, 8, 2, 2}); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type31); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type32); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_float16_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |
| void CreateModel_nchw_quant8_3(Model *model) { |
| OperandType type0(Type::BOOL, {}); |
| OperandType type3(Type::INT32, {}); |
| OperandType type33(Type::TENSOR_QUANT8_ASYMM, {1, 2, 4, 4}, 1.0f, 0); |
| OperandType type34(Type::TENSOR_QUANT8_ASYMM, {1, 8, 2, 2}, 1.0f, 0); |
| // Phase 1, operands |
| auto op12 = model->addOperand(&type33); |
| auto param2 = model->addOperand(&type3); |
| auto layout = model->addOperand(&type0); |
| auto op42 = model->addOperand(&type34); |
| // Phase 2, operations |
| static int32_t param2_init[] = {2}; |
| model->setOperandValue(param2, param2_init, sizeof(int32_t) * 1); |
| static bool layout_init[] = {true}; |
| model->setOperandValue(layout, layout_init, sizeof(bool) * 1); |
| model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op12, param2, layout}, {op42}); |
| // Phase 3, inputs and outputs |
| model->identifyInputsAndOutputs( |
| {op12}, |
| {op42}); |
| assert(model->isValid()); |
| } |
| |
| inline bool is_ignored_nchw_quant8_3(int i) { |
| static std::set<int> ignore = {}; |
| return ignore.find(i) != ignore.end(); |
| } |
| |