blob: cede14ef6beabaafcaf8a33b2839bea2c2f76bc1 [file] [log] [blame]
// Generated from softmax_quant8_1.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::softmax_quant8_1 {
const TestModel& get_test_model() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {0},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 10, 20}),
.dimensions = {1, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1e-05f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({64, 64, 64, 64}),
.dimensions = {1, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.00390625f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::SOFTMAX
}},
.outputIndexes = {2}
};
return model;
}
} // namespace generated_tests::softmax_quant8_1
namespace generated_tests::softmax_quant8_1 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectedMultinomialDistributionTolerance = 0,
.inputIndexes = {3},
.isRelaxed = false,
.operands = {{
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({}),
.dimensions = {1, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({1e-05f}),
.dimensions = {},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::FLOAT32,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({64, 64, 64, 64}),
.dimensions = {1, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.00390625f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({1, 2, 10, 20}),
.dimensions = {1, 4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::MODEL_INPUT,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.zeroPoint = 0
}, {
.channelQuant = {},
.data = TestBuffer::createFromVector<uint8_t>({0}),
.dimensions = {1},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.5f,
.type = TestOperandType::TENSOR_QUANT8_ASYMM,
.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 = {3, 4, 5},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::SOFTMAX
}},
.outputIndexes = {2}
};
return model;
}
} // namespace generated_tests::softmax_quant8_1