Searched refs:rnn (Results 1 – 3 of 3) sorted by relevance
| /frameworks/ml/nn/runtime/test/generated/tests/ |
| D | rnn.mod.py.cpp | 5 namespace rnn { namespace
12 TEST_F(GeneratedTests, rnn) { in TEST_F() argument
13 execute(rnn::CreateModel, in TEST_F()
14 rnn::is_ignored, in TEST_F()
15 rnn::get_examples()); in TEST_F()
17 TEST_AVAILABLE_SINCE(V1_0, rnn, rnn::CreateModel) in TEST_AVAILABLE_SINCE() argument
20 execute(rnn::CreateModel_dynamic_output_shape, in TEST_AVAILABLE_SINCE()
21 rnn::is_ignored_dynamic_output_shape, in TEST_AVAILABLE_SINCE()
22 rnn::get_examples_dynamic_output_shape()); in TEST_AVAILABLE_SINCE()
|
| /frameworks/ml/nn/common/operations/ |
| D | RNNTest.cpp | 266 BasicRNNOpModel rnn(2, 16, 8); in TEST() local
267 rnn.SetWeights( in TEST()
291 rnn.SetBias({0.065691948, -0.69055247, 0.1107955, -0.97084129, -0.23957068, in TEST()
296 rnn.SetRecurrentWeights({0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, in TEST()
313 rnn.ResetHiddenState(); in TEST()
315 (rnn.input_size() * rnn.num_batches()); in TEST()
318 float* batch_start = rnn_input + i * rnn.input_size(); in TEST()
319 float* batch_end = batch_start + rnn.input_size(); in TEST()
320 rnn.SetInput(0, batch_start, batch_end); in TEST()
321 rnn.SetInput(rnn.input_size(), batch_start, batch_end); in TEST()
[all …]
|
| /frameworks/ml/nn/runtime/test/generated/ |
| D | all_generated_V1_0_vts_tests.cpp | 5261 namespace rnn { namespace
5268 TEST_F(NeuralnetworksHidlTest, rnn) { in TEST_F() argument
5270 rnn::createTestModel, in TEST_F()
5271 rnn::is_ignored, in TEST_F()
5272 rnn::get_examples()); in TEST_F()
5275 TEST_F(ValidationTest, rnn) { in TEST_F() argument
5276 const Model model = rnn::createTestModel(); in TEST_F()
5277 const std::vector<Request> requests = createRequests(rnn::get_examples()); in TEST_F()
5285 rnn::createTestModel_dynamic_output_shape, in TEST_F()
5286 rnn::is_ignored_dynamic_output_shape, in TEST_F()
[all …]
|