// Generated from lstm_state.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::lstm_state { const TestModel& get_test_model() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f, 4.0f}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.45018822f, -0.02338299f, -0.0870589f, -0.34550029f, 0.04266912f, -0.15680569f, -0.34856534f, 0.43890524f}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.09701663f, 0.20334584f, -0.50592935f, -0.31343272f, -0.40032279f, 0.44781327f, 0.01387155f, -0.35593212f}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.50013041f, 0.1370284f, 0.11810488f, 0.2013163f, -0.20583314f, 0.44344562f, 0.22077113f, -0.29909778f}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.25065863f, -0.28290087f, 0.04613829f, 0.40525138f, 0.44272184f, 0.03897077f, -0.1556896f, 0.19487578f}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0063535f, -0.2042388f, 0.31454784f, -0.35746509f, 0.28902304f, 0.08183324f, -0.16555229f, 0.02286911f, -0.13566875f, 0.03034258f, 0.48091322f, -0.12528998f, 0.24077177f, -0.51332325f, -0.33502164f, 0.10629296f}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.48684245f, -0.06655136f, 0.42224967f, 0.2112639f, 0.27654213f, 0.20864892f, -0.07646349f, 0.45877004f, 0.00141793f, -0.14609534f, 0.36447752f, 0.09196436f, 0.28053468f, 0.01560611f, -0.20127171f, -0.01140004f}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3407414f, 0.24443203f, -0.2078532f, 0.26320225f, 0.05695659f, -0.00123841f, -0.4744786f, -0.35869038f, -0.06418842f, -0.13502428f, -0.501764f, 0.22830659f, -0.46367589f, 0.26016325f, -0.03894562f, -0.16368064f}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.43385774f, -0.17194885f, 0.2718237f, 0.09215671f, 0.24107647f, -0.39835793f, 0.18212086f, 0.01301402f, 0.48572797f, -0.50656658f, 0.20047462f, -0.20607421f, -0.51818722f, -0.15390486f, 0.0468148f, 0.39922136f}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 1.0f, 1.0f, 1.0f}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0297319f, 0.122947f, 0.208851f, -0.153588f}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.145439f, 0.157475f, 0.293663f, -0.277353f}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0371611f, 0.125073f, 0.411934f, -0.208605f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.287121f, 0.148115f, 0.556837f, -0.388276f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.03716109f, 0.12507336f, 0.41193449f, -0.20860538f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22}, .outputs = {23, 24, 25, 26} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19}, .outputIndexes = {23, 24, 25, 26} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_0 }; return model; } const auto dummy_test_model = TestModelManager::get().add("lstm_state", get_test_model()); } // namespace generated_tests::lstm_state namespace generated_tests::lstm_state { const TestModel& get_test_model_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0371611f, 0.125073f, 0.411934f, -0.208605f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.287121f, 0.148115f, 0.556837f, -0.388276f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.03716109f, 0.12507336f, 0.41193449f, -0.20860538f}) }, { // input_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({3.0f, 4.0f}) }, { // placeholder .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.45018822f, -0.02338299f, -0.0870589f, -0.34550029f, 0.04266912f, -0.15680569f, -0.34856534f, 0.43890524f}) }, { // placeholder1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.09701663f, 0.20334584f, -0.50592935f, -0.31343272f, -0.40032279f, 0.44781327f, 0.01387155f, -0.35593212f}) }, { // placeholder2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.50013041f, 0.1370284f, 0.11810488f, 0.2013163f, -0.20583314f, 0.44344562f, 0.22077113f, -0.29909778f}) }, { // placeholder3 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 2}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.25065863f, -0.28290087f, 0.04613829f, 0.40525138f, 0.44272184f, 0.03897077f, -0.1556896f, 0.19487578f}) }, { // placeholder4 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param4 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0063535f, -0.2042388f, 0.31454784f, -0.35746509f, 0.28902304f, 0.08183324f, -0.16555229f, 0.02286911f, -0.13566875f, 0.03034258f, 0.48091322f, -0.12528998f, 0.24077177f, -0.51332325f, -0.33502164f, 0.10629296f}) }, { // placeholder5 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param5 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.48684245f, -0.06655136f, 0.42224967f, 0.2112639f, 0.27654213f, 0.20864892f, -0.07646349f, 0.45877004f, 0.00141793f, -0.14609534f, 0.36447752f, 0.09196436f, 0.28053468f, 0.01560611f, -0.20127171f, -0.01140004f}) }, { // placeholder6 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param6 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3407414f, 0.24443203f, -0.2078532f, 0.26320225f, 0.05695659f, -0.00123841f, -0.4744786f, -0.35869038f, -0.06418842f, -0.13502428f, -0.501764f, 0.22830659f, -0.46367589f, 0.26016325f, -0.03894562f, -0.16368064f}) }, { // placeholder7 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param7 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.43385774f, -0.17194885f, 0.2718237f, 0.09215671f, 0.24107647f, -0.39835793f, 0.18212086f, 0.01301402f, 0.48572797f, -0.50656658f, 0.20047462f, -0.20607421f, -0.51818722f, -0.15390486f, 0.0468148f, 0.39922136f}) }, { // placeholder8 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder9 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param9 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1.0f, 1.0f, 1.0f, 1.0f}) }, { // placeholder10 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param10 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder11 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param11 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder12 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param12 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0297319f, 0.122947f, 0.208851f, -0.153588f}) }, { // placeholder13 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param13 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.145439f, 0.157475f, 0.293663f, -0.277353f}) }, { // placeholder14 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param14 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {27, 28, 29}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {30, 31, 32}, .outputs = {1} }, { .type = TestOperationType::ADD, .inputs = {33, 34, 35}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {36, 37, 38}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {39, 40, 41}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {42, 43, 44}, .outputs = {5} }, { .type = TestOperationType::ADD, .inputs = {45, 46, 47}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {48, 49, 50}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {51, 52, 53}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {54, 55, 56}, .outputs = {12} }, { .type = TestOperationType::ADD, .inputs = {57, 58, 59}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {60, 61, 62}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {63, 64, 65}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {66, 67, 68}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {69, 70, 71}, .outputs = {19} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22}, .outputs = {23, 24, 25, 26} }}, .inputIndexes = {9, 10, 11, 16, 17, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, 63, 66, 69}, .outputIndexes = {23, 24, 25, 26} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_0 }; return model; } const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("lstm_state_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); } // namespace generated_tests::lstm_state