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// Generated from qlstm_noprojection.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::qlstm_noprojection {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({90, 102, 13, 26, 38, 102, 13, 26, 51, 64}),
.dimensions = {2, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0078125f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // input_to_input_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // input_to_forget_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-77, -13, 38, 25, 115, -64, -25, -51, 38, -102, -51, 38, -64, -51, -77, 38, -51, -77, -64, -64}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // input_to_cell_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-51, -38, -25, -13, -64, 64, -25, -38, -25, -77, 77, -13, -51, -38, -89, 89, -115, -64, 102, 77}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // input_to_output_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-102, -51, -25, -115, -13, -89, 38, -38, -102, -25, 77, -25, 51, -89, -38, -64, 13, 64, -77, -51}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_input_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_forget_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-64, -38, -64, -25, 77, 51, 115, 38, -13, 25, 64, 25, 25, 38, -13, 51}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_cell_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-38, 25, 13, -38, 102, -10, -25, 38, 102, -77, -13, 25, 38, -13, 25, 64}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_output_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({38, -13, 13, -25, -64, -89, -25, -77, -13, -51, -89, -25, 13, 64, 25, -38}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // cell_to_input_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_to_forget_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_to_output_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // input_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // forget_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2147484, -6442451, -4294968, 2147484}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // cell_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1073742, 15461883, 5368709, 1717987}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1073742, -214748, 4294968, 2147484}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // projection_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00392157f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // projection_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output_state_in
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({0, 0, 0, 0, 0, 0, 0, 0}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // cell_state_in
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({0, 0, 0, 0, 0, 0, 0, 0}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // input_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // forget_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({6553, 6553, 13107, 9830}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({22937, 6553, 9830, 26214}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // output_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({19660, 6553, 6553, 16384}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_clip
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // projection_clip
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // input_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007059f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // forget_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007812f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // cell_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007059f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // output_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007812f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // hidden_state_zero_point
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // hidden_state_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // output_state_out
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-15, 21, 14, 20, -15, 15, 5, 27}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // cell_state_out
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({-11692, 9960, 5491, 8861, -9422, 7726, 2056, 13149}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-15, 21, 14, 20, -15, 15, 5, 27}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31},
.outputs = {32, 33, 34},
.type = TestOperationType::QUANTIZED_LSTM
}},
.outputIndexes = {32, 33, 34}
},
.minSupportedVersion = TestHalVersion::V1_3,
.referenced = {}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("qlstm_noprojection", get_test_model());
} // namespace generated_tests::qlstm_noprojection
namespace generated_tests::qlstm_noprojection {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 35, 38},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {2, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0078125f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // input_to_input_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // input_to_forget_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-77, -13, 38, 25, 115, -64, -25, -51, 38, -102, -51, 38, -64, -51, -77, 38, -51, -77, -64, -64}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // input_to_cell_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-51, -38, -25, -13, -64, 64, -25, -38, -25, -77, 77, -13, -51, -38, -89, 89, -115, -64, 102, 77}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // input_to_output_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-102, -51, -25, -115, -13, -89, 38, -38, -102, -25, 77, -25, 51, -89, -38, -64, 13, 64, -77, -51}),
.dimensions = {4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_input_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_forget_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-64, -38, -64, -25, 77, 51, 115, 38, -13, 25, 64, 25, 25, 38, -13, 51}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_cell_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-38, 25, 13, -38, 102, -10, -25, 38, 102, -77, -13, 25, 38, -13, 25, 64}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // recurrent_to_output_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({38, -13, 13, -25, -64, -89, -25, -77, -13, -51, -89, -25, 13, 64, 25, -38}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00784314f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // cell_to_input_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_to_forget_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_to_output_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 1.0f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // input_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // forget_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2147484, -6442451, -4294968, 2147484}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // cell_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1073742, 15461883, 5368709, 1717987}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output_gate_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1073742, -214748, 4294968, 2147484}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // projection_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {4, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.00392157f,
.type = TestOperandType::TENSOR_QUANT8_SYMM,
.zeroPoint = 0
}, { // projection_bias
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output_state_in
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // cell_state_in
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({0, 0, 0, 0, 0, 0, 0, 0}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // input_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // forget_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({6553, 6553, 13107, 9830}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({22937, 6553, 9830, 26214}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // output_layer_norm_weights
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({19660, 6553, 6553, 16384}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05182e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // cell_clip
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // projection_clip
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // input_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007059f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // forget_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007812f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // cell_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007059f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // output_intermediate_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007812f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // hidden_state_zero_point
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // hidden_state_scale
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.007f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, { // output_state_out
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-15, 21, 14, 20, -15, 15, 5, 27}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // cell_state_out
.channelQuant = {},
.data = TestBuffer::createFromVector<int16_t>({-11692, 9960, 5491, 8861, -9422, 7726, 2056, 13149}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT16_SYMM,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({-15, 21, 14, 20, -15, 15, 5, 27}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // input_new
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({90, 102, 13, 26, 38, 102, 13, 26, 51, 64}),
.dimensions = {2, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0078125f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // dummy
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0078125f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // param
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}, { // output_state_in_new
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({0, 0, 0, 0, 0, 0, 0, 0}),
.dimensions = {2, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // dummy1
.channelQuant = {},
.data = TestBuffer::createFromVector<int8_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 3.05176e-05f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM_SIGNED,
.zeroPoint = 0
}, { // param1
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::INT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {35, 36, 37},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {38, 39, 40},
.outputs = {18},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31},
.outputs = {32, 33, 34},
.type = TestOperationType::QUANTIZED_LSTM
}},
.outputIndexes = {32, 33, 34}
},
.minSupportedVersion = TestHalVersion::V1_3,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("qlstm_noprojection_all_inputs_as_internal", get_test_model_all_inputs_as_internal());
} // namespace generated_tests::qlstm_noprojection
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