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Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/strided_slice_float_7.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/strided_slice_float_7.model.cpp39
1 files changed, 39 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/strided_slice_float_7.model.cpp b/runtimes/tests/neural_networks_test/generated/models/strided_slice_float_7.model.cpp
new file mode 100644
index 000000000..1580128a1
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/strided_slice_float_7.model.cpp
@@ -0,0 +1,39 @@
+// Generated file (from: strided_slice_float_7.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type2(Type::INT32, {});
+ OperandType type0(Type::TENSOR_FLOAT32, {3});
+ OperandType type1(Type::TENSOR_INT32, {1});
+ // 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(&type0);
+ // Phase 2, operations
+ static int32_t begins_init[] = {-1};
+ model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1);
+ static int32_t ends_init[] = {-4};
+ model->setOperandValue(ends, ends_init, sizeof(int32_t) * 1);
+ static int32_t strides_init[] = {-1};
+ model->setOperandValue(strides, strides_init, sizeof(int32_t) * 1);
+ static int32_t beginMask_init[] = {0};
+ 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();
+}