diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/conv_1_h3_w2_SAME.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/conv_1_h3_w2_SAME.model.cpp | 41 |
1 files changed, 0 insertions, 41 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/conv_1_h3_w2_SAME.model.cpp b/runtimes/tests/neural_networks_test/generated/models/conv_1_h3_w2_SAME.model.cpp deleted file mode 100644 index 47d92b6b8..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/conv_1_h3_w2_SAME.model.cpp +++ /dev/null @@ -1,41 +0,0 @@ -// 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(); -} |