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| 1 | +// Copyright (c) Microsoft Corporation. |
| 2 | +// Licensed under the MIT license. |
| 3 | + |
| 4 | +#include "ark/executor.hpp" |
| 5 | + |
| 6 | +#include "gpu/gpu.hpp" |
| 7 | +#include "model/model_json.hpp" |
| 8 | +#include "unittest/unittest_utils.h" |
| 9 | + |
| 10 | +template <bool LoopMode> |
| 11 | +ark::unittest::State test_executor() { |
| 12 | + ark::gpuStream stream; |
| 13 | + UNITTEST_EQ( |
| 14 | + ark::gpuStreamCreateWithFlags(&stream, ark::gpuStreamNonBlocking), |
| 15 | + ark::gpuSuccess); |
| 16 | + |
| 17 | + ark::Model empty; |
| 18 | + { |
| 19 | + ark::DefaultExecutor executor(empty, 0, stream, {}, "test", LoopMode); |
| 20 | + UNITTEST_EQ(executor.device_id(), 0); |
| 21 | + UNITTEST_EQ(executor.stream(), stream); |
| 22 | + |
| 23 | + executor.compile(); |
| 24 | + executor.launch(); |
| 25 | + executor.run(1); |
| 26 | + executor.wait(); |
| 27 | + executor.stop(); |
| 28 | + executor.destroy(); |
| 29 | + |
| 30 | + UNITTEST_TRUE(executor.destroyed()); |
| 31 | + } |
| 32 | + { |
| 33 | + ark::DefaultExecutor executor(empty, 0, stream, {}, "test", LoopMode); |
| 34 | + executor.compile(); |
| 35 | + executor.launch(); |
| 36 | + executor.run(1); |
| 37 | + executor.wait(); |
| 38 | + executor.stop(); |
| 39 | + |
| 40 | + executor.launch(); |
| 41 | + executor.run(1); |
| 42 | + executor.wait(); |
| 43 | + executor.stop(); |
| 44 | + |
| 45 | + executor.destroy(); |
| 46 | + } |
| 47 | + { |
| 48 | + ark::DefaultExecutor executor(empty, 0, stream, {}, "test", LoopMode); |
| 49 | + UNITTEST_THROW(executor.launch(), ark::InvalidUsageError); |
| 50 | + |
| 51 | + executor.compile(); |
| 52 | + executor.launch(); |
| 53 | + executor.launch(); // Will be ignored with a warning. |
| 54 | + executor.run(1); |
| 55 | + executor.wait(); |
| 56 | + executor.wait(); // nothing to do |
| 57 | + |
| 58 | + // Stop & destroy automatically. |
| 59 | + } |
| 60 | + |
| 61 | + UNITTEST_EQ(ark::gpuStreamDestroy(stream), ark::gpuSuccess); |
| 62 | + return ark::unittest::SUCCESS; |
| 63 | +} |
| 64 | + |
| 65 | +ark::unittest::State test_executor_loop() { return test_executor<true>(); } |
| 66 | + |
| 67 | +ark::unittest::State test_executor_no_loop() { return test_executor<false>(); } |
| 68 | + |
| 69 | +ark::unittest::State test_executor_tensor_read_write(ark::Dims shape, |
| 70 | + ark::Dims stride, |
| 71 | + ark::Dims offset) { |
| 72 | + // Alloc CPU array |
| 73 | + std::vector<float> host_data(shape.nelems()); |
| 74 | + for (size_t i = 0; i < host_data.size(); ++i) { |
| 75 | + host_data[i] = static_cast<float>(i); |
| 76 | + } |
| 77 | + |
| 78 | + // Alloc GPU array |
| 79 | + void *dev_ptr; |
| 80 | + UNITTEST_EQ(ark::gpuMalloc(&dev_ptr, shape.nelems() * sizeof(float)), |
| 81 | + ark::gpuSuccess); |
| 82 | + |
| 83 | + // Create an ARK tensor |
| 84 | + ark::Model m; |
| 85 | + auto tensor = m.tensor(shape, ark::FP32, stride, offset); |
| 86 | + m.noop(tensor); |
| 87 | + |
| 88 | + ark::DefaultExecutor executor(m, 0); |
| 89 | + executor.compile(); |
| 90 | + executor.launch(); |
| 91 | + UNITTEST_GT(executor.tensor_address(tensor), 0); |
| 92 | + |
| 93 | + // Copy data from CPU array to ARK tensor |
| 94 | + executor.tensor_write(tensor, host_data.data(), |
| 95 | + shape.nelems() * sizeof(float)); |
| 96 | + |
| 97 | + // Copy data from ARK tensor to GPU array |
| 98 | + executor.tensor_read(tensor, dev_ptr, shape.nelems() * sizeof(float), |
| 99 | + nullptr, true); |
| 100 | + |
| 101 | + // Check the data |
| 102 | + std::vector<float> dev_data(shape.nelems()); |
| 103 | + executor.tensor_read(tensor, dev_data.data(), |
| 104 | + shape.nelems() * sizeof(float)); |
| 105 | + for (size_t i = 0; i < dev_data.size(); ++i) { |
| 106 | + UNITTEST_EQ(dev_data[i], static_cast<float>(i)); |
| 107 | + dev_data[i] = -1; |
| 108 | + } |
| 109 | + |
| 110 | + UNITTEST_EQ( |
| 111 | + ark::gpuMemcpy(dev_data.data(), dev_ptr, shape.nelems() * sizeof(float), |
| 112 | + ark::gpuMemcpyDeviceToHost), |
| 113 | + ark::gpuSuccess); |
| 114 | + for (size_t i = 0; i < dev_data.size(); ++i) { |
| 115 | + UNITTEST_EQ(dev_data[i], static_cast<float>(i)); |
| 116 | + dev_data[i] = -1; |
| 117 | + } |
| 118 | + |
| 119 | + // Copy -1s back to GPU array |
| 120 | + UNITTEST_EQ( |
| 121 | + ark::gpuMemcpy(dev_ptr, dev_data.data(), shape.nelems() * sizeof(float), |
| 122 | + ark::gpuMemcpyHostToDevice), |
| 123 | + ark::gpuSuccess); |
| 124 | + |
| 125 | + // Copy data from GPU array to ARK tensor |
| 126 | + executor.tensor_write(tensor, dev_ptr, shape.nelems() * sizeof(float), |
| 127 | + nullptr, true); |
| 128 | + |
| 129 | + // Copy data from ARK tensor to CPU array |
| 130 | + executor.tensor_read(tensor, host_data.data(), |
| 131 | + shape.nelems() * sizeof(float)); |
| 132 | + |
| 133 | + // Check the data |
| 134 | + for (size_t i = 0; i < host_data.size(); ++i) { |
| 135 | + UNITTEST_EQ(host_data[i], -1); |
| 136 | + } |
| 137 | + |
| 138 | + // Provide a stream |
| 139 | + ark::gpuStream stream; |
| 140 | + UNITTEST_EQ( |
| 141 | + ark::gpuStreamCreateWithFlags(&stream, ark::gpuStreamNonBlocking), |
| 142 | + ark::gpuSuccess); |
| 143 | + executor.tensor_read(tensor, host_data.data(), |
| 144 | + shape.nelems() * sizeof(float), stream); |
| 145 | + executor.tensor_write(tensor, host_data.data(), |
| 146 | + shape.nelems() * sizeof(float), stream); |
| 147 | + UNITTEST_EQ(ark::gpuStreamDestroy(stream), ark::gpuSuccess); |
| 148 | + |
| 149 | + // Invalid copy size |
| 150 | + UNITTEST_THROW(executor.tensor_read(tensor, host_data.data(), |
| 151 | + shape.nelems() * sizeof(float) + 1), |
| 152 | + ark::InvalidUsageError); |
| 153 | + UNITTEST_THROW(executor.tensor_write(tensor, host_data.data(), |
| 154 | + shape.nelems() * sizeof(float) + 1), |
| 155 | + ark::InvalidUsageError); |
| 156 | + |
| 157 | + executor.stop(); |
| 158 | + |
| 159 | + UNITTEST_EQ(ark::gpuFree(dev_ptr), ark::gpuSuccess); |
| 160 | + return ark::unittest::SUCCESS; |
| 161 | +} |
| 162 | + |
| 163 | +ark::unittest::State test_executor_tensor_read_write_no_stride() { |
| 164 | + return test_executor_tensor_read_write({1024}, {}, {}); |
| 165 | +} |
| 166 | + |
| 167 | +ark::unittest::State test_executor_tensor_read_write_stride_offset() { |
| 168 | + return test_executor_tensor_read_write({4, 512}, {4, 1024}, {0, 512}); |
| 169 | +} |
| 170 | + |
| 171 | +ark::unittest::State test_executor_invalid() { |
| 172 | + // Invalid device ID. |
| 173 | + UNITTEST_THROW(ark::Executor(-1, nullptr, "test", ""), |
| 174 | + ark::InvalidUsageError); |
| 175 | + |
| 176 | + // Invalid rank. |
| 177 | + ark::PlanJson plan; |
| 178 | + plan["Rank"] = 1; |
| 179 | + UNITTEST_THROW(ark::Executor(0, nullptr, "test", plan.dump(), true), |
| 180 | + ark::InvalidUsageError); |
| 181 | + |
| 182 | + return ark::unittest::SUCCESS; |
| 183 | +} |
| 184 | + |
| 185 | +int main() { |
| 186 | + UNITTEST(test_executor_loop); |
| 187 | + UNITTEST(test_executor_no_loop); |
| 188 | + UNITTEST(test_executor_tensor_read_write_no_stride); |
| 189 | + UNITTEST(test_executor_tensor_read_write_stride_offset); |
| 190 | + UNITTEST(test_executor_invalid); |
| 191 | + return 0; |
| 192 | +} |
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