summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/generated/models/softmax_float_1.model.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/softmax_float_1.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/softmax_float_1.model.cpp23
1 files changed, 23 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/softmax_float_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/softmax_float_1.model.cpp
new file mode 100644
index 000000000..d189002bb
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/softmax_float_1.model.cpp
@@ -0,0 +1,23 @@
+// Generated file (from: softmax_float_1.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type1(Type::FLOAT32, {});
+ OperandType type0(Type::TENSOR_FLOAT32, {1, 4});
+ // Phase 1, operands
+ auto input = model->addOperand(&type0);
+ auto beta = model->addOperand(&type1);
+ auto output = model->addOperand(&type0);
+ // Phase 2, operations
+ static float beta_init[] = {1e-06f};
+ model->setOperandValue(beta, beta_init, sizeof(float) * 1);
+ model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {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();
+}