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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.cpp40
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();
-}