blob: 33879add2be3a1fb1da63ed7a45018581031de24 [file] [log] [blame]
// Generated from reduce_max.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::reduce_max {
const TestModel& get_test_model() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, -2.0f, 3.0f, 4.0f, 5.0f, -6.0f}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, 4.0f, 5.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, 4.0f, 5.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, -2.0f, 3.0f, 4.0f, 5.0f, -6.0f}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, -2.0f, 3.0f, 4.0f, 5.0f, -6.0f}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, 4.0f, 5.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, 4.0f, 5.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({-1.0f, -2.0f, 3.0f, 4.0f, 5.0f, -6.0f}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-1.0f, -2.0f, 3.0f, 4.0f, 5.0f, -6.0f}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-1.0f, 4.0f, 5.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-1.0f, 4.0f, 5.0f}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({-1.0f, -2.0f, 3.0f, 4.0f, 5.0f, -6.0f}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({125, 123, 133, 135, 137, 115}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({125, 135, 137}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({-1}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({125, 135, 137}),
.dimensions = {3},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({125, 123, 133, 135, 137, 115}),
.dimensions = {3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({9.527f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({9.527000427246094f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({9.527000427246094f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({9.527000427246094f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({9.527000427246094f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({146}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({146}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_all_inputs_as_internal_2() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({146}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({146}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.3f, 2.4f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.3f, 2.4f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.3f, 2.4f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.3f, 2.4f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.10000000149011612f, 0.20000000298023224f, 0.30000001192092896f, 0.4000000059604645f, 0.5f, 0.6000000238418579f, 0.699999988079071f, 0.800000011920929f, 0.8999999761581421f, 1.0f, 1.100000023841858f, 1.2000000476837158f, 1.2999999523162842f, 1.399999976158142f, 1.5f, 1.600000023841858f, 1.7000000476837158f, 1.7999999523162842f, 1.899999976158142f, 2.0f, 2.0999999046325684f, 2.200000047683716f, 2.299999952316284f, 2.4000000953674316f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.299999952316284f, 2.4000000953674316f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.299999952316284f, 2.4000000953674316f}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.10000000149011612f, 0.20000000298023224f, 0.30000001192092896f, 0.4000000059604645f, 0.5f, 0.6000000238418579f, 0.699999988079071f, 0.800000011920929f, 0.8999999761581421f, 1.0f, 1.100000023841858f, 1.2000000476837158f, 1.2999999523162842f, 1.399999976158142f, 1.5f, 1.600000023841858f, 1.7000000476837158f, 1.7999999523162842f, 1.899999976158142f, 2.0f, 2.0999999046325684f, 2.200000047683716f, 2.299999952316284f, 2.4000000953674316f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127, 127, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 132, 132}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({132, 132}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_all_inputs_as_internal_3() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({1, 0, -3, -3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({false}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({132, 132}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127, 127, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 132, 132}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 2.2f, 2.4f}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 2.2f, 2.4f}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 2.2f, 2.4f}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_relaxed_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = true,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({2.0f, 2.2f, 2.4f}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f, 1.6f, 1.7f, 1.8f, 1.9f, 2.0f, 2.1f, 2.2f, 2.3f, 2.4f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.10000000149011612f, 0.20000000298023224f, 0.30000001192092896f, 0.4000000059604645f, 0.5f, 0.6000000238418579f, 0.699999988079071f, 0.800000011920929f, 0.8999999761581421f, 1.0f, 1.100000023841858f, 1.2000000476837158f, 1.2999999523162842f, 1.399999976158142f, 1.5f, 1.600000023841858f, 1.7000000476837158f, 1.7999999523162842f, 1.899999976158142f, 2.0f, 2.0999999046325684f, 2.200000047683716f, 2.299999952316284f, 2.4000000953674316f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.0f, 2.200000047683716f, 2.4000000953674316f}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_float16_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({2.0f, 2.200000047683716f, 2.4000000953674316f}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.10000000149011612f, 0.20000000298023224f, 0.30000001192092896f, 0.4000000059604645f, 0.5f, 0.6000000238418579f, 0.699999988079071f, 0.800000011920929f, 0.8999999761581421f, 1.0f, 1.100000023841858f, 1.2000000476837158f, 1.2999999523162842f, 1.399999976158142f, 1.5f, 1.600000023841858f, 1.7000000476837158f, 1.7999999523162842f, 1.899999976158142f, 2.0f, 2.0999999046325684f, 2.200000047683716f, 2.299999952316284f, 2.4000000953674316f}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<_Float16>({0.0f}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT16,
.zeroPoint = 0
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127, 127, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 132, 132}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({131, 131, 132}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}},
.operations = {{
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max
namespace generated_tests::reduce_max {
const TestModel& get_test_model_quant8_all_inputs_as_internal_4() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {4},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({0, 2}),
.dimensions = {2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<bool8>({true}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::BOOL,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({131, 131, 132}),
.dimensions = {1, 3, 1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127, 127, 128, 128, 128, 128, 128, 129, 129, 129, 129, 129, 130, 130, 130, 130, 130, 131, 131, 131, 131, 131, 132, 132}),
.dimensions = {4, 3, 2},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({127}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 127
}, {
.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 = {4, 5, 6},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1, 2},
.outputs = {3},
.type = TestOperationType::REDUCE_MAX
}},
.outputIndexes = {3}
};
return model;
}
} // namespace generated_tests::reduce_max