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// Generated from transpose_float_1.mod.py
// DO NOT EDIT
// clang-format off
#include "TestHarness.h"
using namespace test_helper;
namespace generated_tests::transpose_float_1 {
const TestModel& get_test_model() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {0},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {2, 3, 4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // perms
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {4, 2, 3, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::TRANSPOSE
}},
.outputIndexes = {2}
},
.minSupportedVersion = TestHalVersion::V1_1,
.referenced = {}
};
return model;
}
const auto dummy_test_model = TestModelManager::get().add("transpose_float_1", get_test_model());
} // namespace generated_tests::transpose_float_1
namespace generated_tests::transpose_float_1 {
const TestModel& get_test_model_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {3},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {2, 3, 4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // perms
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::CONSTANT_COPY,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {4, 2, 3, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // input_new
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {2, 3, 4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // dummy
.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
}, { // 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
}},
.operations = {{
.inputs = {3, 4, 5},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::TRANSPOSE
}},
.outputIndexes = {2}
},
.minSupportedVersion = TestHalVersion::V1_1,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("transpose_float_1_all_inputs_as_internal", get_test_model_all_inputs_as_internal());
} // namespace generated_tests::transpose_float_1
namespace generated_tests::transpose_float_1 {
const TestModel& get_test_model_all_tensors_as_inputs() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {0, 1},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {2, 3, 4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // perms
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {4, 2, 3, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}},
.operations = {{
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::TRANSPOSE
}},
.outputIndexes = {2}
},
.minSupportedVersion = TestHalVersion::V1_1,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_tensors_as_inputs = TestModelManager::get().add("transpose_float_1_all_tensors_as_inputs", get_test_model_all_tensors_as_inputs());
} // namespace generated_tests::transpose_float_1
namespace generated_tests::transpose_float_1 {
const TestModel& get_test_model_all_tensors_as_inputs_all_inputs_as_internal() {
static TestModel model = {
.expectFailure = false,
.expectedMultinomialDistributionTolerance = 0,
.isRelaxed = false,
.main = {
.inputIndexes = {1, 3},
.operands = {{ // input
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({}),
.dimensions = {2, 3, 4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // perms
.channelQuant = {},
.data = TestBuffer::createFromVector<int32_t>({2, 0, 1, 3}),
.dimensions = {4},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_INT32,
.zeroPoint = 0
}, { // output
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {4, 2, 3, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT,
.numberOfConsumers = 0,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // input_new
.channelQuant = {},
.data = TestBuffer::createFromVector<float>({0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, 36.0f, 37.0f, 38.0f, 39.0f, 40.0f, 41.0f, 42.0f, 43.0f, 44.0f, 45.0f, 46.0f, 47.0f, 48.0f, 49.0f, 50.0f, 51.0f, 52.0f, 53.0f, 54.0f, 55.0f, 56.0f, 57.0f, 58.0f, 59.0f, 60.0f, 61.0f, 62.0f, 63.0f, 64.0f, 65.0f, 66.0f, 67.0f, 68.0f, 69.0f, 70.0f, 71.0f, 72.0f, 73.0f, 74.0f, 75.0f, 76.0f, 77.0f, 78.0f, 79.0f, 80.0f, 81.0f, 82.0f, 83.0f, 84.0f, 85.0f, 86.0f, 87.0f, 88.0f, 89.0f, 90.0f, 91.0f, 92.0f, 93.0f, 94.0f, 95.0f, 96.0f, 97.0f, 98.0f, 99.0f, 100.0f, 101.0f, 102.0f, 103.0f, 104.0f, 105.0f, 106.0f, 107.0f, 108.0f, 109.0f, 110.0f, 111.0f, 112.0f, 113.0f, 114.0f, 115.0f, 116.0f, 117.0f, 118.0f, 119.0f}),
.dimensions = {2, 3, 4, 5},
.isIgnored = false,
.lifetime = TestOperandLifeTime::SUBGRAPH_INPUT,
.numberOfConsumers = 1,
.scale = 0.0f,
.type = TestOperandType::TENSOR_FLOAT32,
.zeroPoint = 0
}, { // dummy1
.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
}, { // 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 = {3, 4, 5},
.outputs = {0},
.type = TestOperationType::ADD
}, {
.inputs = {0, 1},
.outputs = {2},
.type = TestOperationType::TRANSPOSE
}},
.outputIndexes = {2}
},
.minSupportedVersion = TestHalVersion::V1_1,
.referenced = {}
};
return model;
}
const auto dummy_test_model_all_tensors_as_inputs_all_inputs_as_internal = TestModelManager::get().add("transpose_float_1_all_tensors_as_inputs_all_inputs_as_internal", get_test_model_all_tensors_as_inputs_all_inputs_as_internal());
} // namespace generated_tests::transpose_float_1
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