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-rw-r--r--tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect41
1 files changed, 41 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect b/tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect
new file mode 100644
index 000000000..47d92b6b8
--- /dev/null
+++ b/tests/nnapi/nnapi_test_generator/android-p/tests/P_conv/stdout.txt.expect
@@ -0,0 +1,41 @@
+// Generated file (from: conv_1_h3_w2_SAME.mod.py). Do not edit
+void CreateModel(Model *model) {
+ OperandType type0(Type::INT32, {});
+ OperandType type3(Type::TENSOR_FLOAT32, {1, 3, 2, 3});
+ OperandType type2(Type::TENSOR_FLOAT32, {1, 8, 8, 1});
+ OperandType type1(Type::TENSOR_FLOAT32, {1, 8, 8, 3});
+ OperandType type4(Type::TENSOR_FLOAT32, {1});
+ // Phase 1, operands
+ auto b4 = model->addOperand(&type0);
+ auto b5 = model->addOperand(&type0);
+ auto b6 = model->addOperand(&type0);
+ auto b7 = model->addOperand(&type0);
+ auto op2 = model->addOperand(&type1);
+ auto op3 = model->addOperand(&type2);
+ auto op0 = model->addOperand(&type3);
+ auto op1 = model->addOperand(&type4);
+ // Phase 2, operations
+ static int32_t b4_init[] = {1};
+ model->setOperandValue(b4, b4_init, sizeof(int32_t) * 1);
+ static int32_t b5_init[] = {1};
+ model->setOperandValue(b5, b5_init, sizeof(int32_t) * 1);
+ static int32_t b6_init[] = {1};
+ model->setOperandValue(b6, b6_init, sizeof(int32_t) * 1);
+ static int32_t b7_init[] = {0};
+ model->setOperandValue(b7, b7_init, sizeof(int32_t) * 1);
+ static float op0_init[] = {-0.966213f, -0.467474f, -0.82203f, -0.579455f, 0.0278809f, -0.79946f, -0.684259f, 0.563238f, 0.37289f, 0.738216f, 0.386045f, -0.917775f, 0.184325f, -0.270568f, 0.82236f, 0.0973683f, -0.941308f, -0.144706f};
+ model->setOperandValue(op0, op0_init, sizeof(float) * 18);
+ static float op1_init[] = {0.0f};
+ model->setOperandValue(op1, op1_init, sizeof(float) * 1);
+ model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
+ // Phase 3, inputs and outputs
+ model->identifyInputsAndOutputs(
+ {op2},
+ {op3});
+ assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+ static std::set<int> ignore = {};
+ return ignore.find(i) != ignore.end();
+}