summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/generated/models/space_to_batch_quant8_1.model.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/space_to_batch_quant8_1.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/space_to_batch_quant8_1.model.cpp28
1 files changed, 0 insertions, 28 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/space_to_batch_quant8_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/space_to_batch_quant8_1.model.cpp
deleted file mode 100644
index cfd56c2e7..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/space_to_batch_quant8_1.model.cpp
+++ /dev/null
@@ -1,28 +0,0 @@
-// Generated file (from: space_to_batch_quant8_1.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type2(Type::TENSOR_INT32, {2, 2});
- OperandType type1(Type::TENSOR_INT32, {2});
- OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 4, 4, 1}, 1.0, 0);
- OperandType type3(Type::TENSOR_QUANT8_ASYMM, {4, 2, 2, 1}, 1.0, 0);
- // Phase 1, operands
- auto input = model->addOperand(&type0);
- auto block_size = model->addOperand(&type1);
- auto paddings = model->addOperand(&type2);
- auto output = model->addOperand(&type3);
- // Phase 2, operations
- static int32_t block_size_init[] = {2, 2};
- model->setOperandValue(block_size, block_size_init, sizeof(int32_t) * 2);
- static int32_t paddings_init[] = {0, 0, 0, 0};
- model->setOperandValue(paddings, paddings_init, sizeof(int32_t) * 4);
- model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {input, block_size, paddings}, {output});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {input},
- {output});
- assert(model->isValid());
-}
-
-bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}