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Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp41
1 files changed, 41 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp
new file mode 100644
index 000000000..bae45e35a
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/conv_quant8_2.model.cpp
@@ -0,0 +1,41 @@
+// Generated file (from: conv_quant8_2.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type3(Type::INT32, {});
+ OperandType type2(Type::TENSOR_INT32, {1}, 0.25f, 0);
+ OperandType type1(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 0.5f, 127);
+ OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 127);
+ OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 3, 6, 1}, 0.5f, 127);
+ // Phase 1, operands
+ auto op1 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type1);
+ auto op3 = model->addOperand(&type2);
+ auto pad_valid = model->addOperand(&type3);
+ auto act_none = model->addOperand(&type3);
+ auto stride1 = model->addOperand(&type3);
+ auto stride3 = model->addOperand(&type3);
+ auto op4 = model->addOperand(&type4);
+ // Phase 2, operations
+ static uint8_t op2_init[] = {129, 131, 133, 135};
+ model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4);
+ static int32_t op3_init[] = {-4};
+ model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1);
+ static int32_t pad_valid_init[] = {2};
+ model->setOperandValue(pad_valid, pad_valid_init, sizeof(int32_t) * 1);
+ static int32_t act_none_init[] = {0};
+ model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1);
+ static int32_t stride1_init[] = {1};
+ model->setOperandValue(stride1, stride1_init, sizeof(int32_t) * 1);
+ static int32_t stride3_init[] = {3};
+ model->setOperandValue(stride3, stride3_init, sizeof(int32_t) * 1);
+ model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_valid, stride3, stride1, act_none}, {op4});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op1},
+ {op4});
+ assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}