diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/strided_slice_quant8_9.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/strided_slice_quant8_9.model.cpp | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/strided_slice_quant8_9.model.cpp b/runtimes/tests/neural_networks_test/generated/models/strided_slice_quant8_9.model.cpp new file mode 100644 index 000000000..37bb2898e --- /dev/null +++ b/runtimes/tests/neural_networks_test/generated/models/strided_slice_quant8_9.model.cpp @@ -0,0 +1,40 @@ +// Generated file (from: strided_slice_quant8_9.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, {2, 2}, 1.0, 0); + OperandType type0(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 1.0, 0); + // Phase 1, operands + auto input = model->addOperand(&type0); + auto begins = model->addOperand(&type1); + auto ends = model->addOperand(&type1); + auto strides = model->addOperand(&type1); + auto beginMask = model->addOperand(&type2); + auto endMask = model->addOperand(&type2); + auto shrinkAxisMask = model->addOperand(&type2); + auto output = model->addOperand(&type3); + // Phase 2, operations + static int32_t begins_init[] = {1, 0}; + model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); + static int32_t ends_init[] = {2, 2}; + model->setOperandValue(ends, ends_init, sizeof(int32_t) * 2); + static int32_t strides_init[] = {1, 1}; + model->setOperandValue(strides, strides_init, sizeof(int32_t) * 2); + static int32_t beginMask_init[] = {1}; + model->setOperandValue(beginMask, beginMask_init, sizeof(int32_t) * 1); + static int32_t endMask_init[] = {0}; + model->setOperandValue(endMask, endMask_init, sizeof(int32_t) * 1); + static int32_t shrinkAxisMask_init[] = {0}; + model->setOperandValue(shrinkAxisMask, shrinkAxisMask_init, sizeof(int32_t) * 1); + model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {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(); +} |