summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/generated/models/strided_slice_ex_float_9.model.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/strided_slice_ex_float_9.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/strided_slice_ex_float_9.model.cpp40
1 files changed, 0 insertions, 40 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/strided_slice_ex_float_9.model.cpp b/runtimes/tests/neural_networks_test/generated/models/strided_slice_ex_float_9.model.cpp
deleted file mode 100644
index de18b9d76..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/strided_slice_ex_float_9.model.cpp
+++ /dev/null
@@ -1,40 +0,0 @@
-// Generated file (from: strided_slice_ex_float_9.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type2(Type::INT32, {});
- OperandType type3(Type::TENSOR_FLOAT32, {2, 2});
- OperandType type0(Type::TENSOR_FLOAT32, {2, 3});
- OperandType type1(Type::TENSOR_INT32, {2});
- // 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->addOperationEx(ANEURALNETWORKS_STRIDED_SLICE_EX, {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();
-}