diff options
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_float_large_2.model.cpp')
-rw-r--r-- | runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_float_large_2.model.cpp | 40 |
1 files changed, 0 insertions, 40 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_float_large_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_float_large_2.model.cpp deleted file mode 100644 index 521eb3ffc..000000000 --- a/runtimes/tests/neural_networks_test/generated/models/depthwise_conv2d_float_large_2.model.cpp +++ /dev/null @@ -1,40 +0,0 @@ -// Generated file (from: depthwise_conv2d_float_large_2.mod.py). Do not edit -void CreateModel(Model *model) { - OperandType type2(Type::INT32, {}); - OperandType type3(Type::TENSOR_FLOAT32, {1, 1, 1, 4}); - OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 4}); - OperandType type1(Type::TENSOR_FLOAT32, {4}); - // Phase 1, operands - auto op1 = model->addOperand(&type0); - auto op2 = model->addOperand(&type0); - auto op3 = model->addOperand(&type1); - auto pad0 = model->addOperand(&type2); - auto act = model->addOperand(&type2); - auto stride = model->addOperand(&type2); - auto channelMultiplier = model->addOperand(&type2); - auto op4 = model->addOperand(&type3); - // Phase 2, operations - static float op2_init[] = {0.25f, 0.0f, 10.0f, 100.0f, 0.25f, 1.0f, 20.0f, 100.0f, 0.25f, 0.0f, 30.0f, 100.0f, 0.25f, 1.0f, 40.0f, 100.0f}; - model->setOperandValue(op2, op2_init, sizeof(float) * 16); - static float op3_init[] = {600000.0f, 700000.0f, 800000.0f, 900000.0f}; - model->setOperandValue(op3, op3_init, sizeof(float) * 4); - static int32_t pad0_init[] = {0}; - model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); - static int32_t act_init[] = {0}; - model->setOperandValue(act, act_init, sizeof(int32_t) * 1); - static int32_t stride_init[] = {1}; - model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1); - static int32_t channelMultiplier_init[] = {1}; - model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1); - model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {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(); -} |