Imported Upstream version 0.3upstream/0.3

1 files changed, 0 insertions, 29 deletions

diff --git a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp
deleted file mode 100644
index d3a7bf338..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float.model.cpp
+++ /dev/null
@@ -1,29 +0,0 @@
-// Generated file (from: l2_pool_float.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type1(Type::INT32, {});
-  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
-  // Phase 1, operands
-  auto op1 = model->addOperand(&type0);
-  auto cons1 = model->addOperand(&type1);
-  auto pad0 = model->addOperand(&type1);
-  auto act = model->addOperand(&type1);
-  auto op3 = model->addOperand(&type0);
-  // Phase 2, operations
-  static int32_t cons1_init[] = {1};
-  model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1);
-  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);
-  model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act}, {op3});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {op1},
-    {op3});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}