a7057fa64c
* Add `Tensor` class. * Add elementwise kernel for CPU and GPU. * Add unravel index. * Move some computation to compile time.
63 lines
1.5 KiB
Plaintext
63 lines
1.5 KiB
Plaintext
/*!
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* Copyright 2021 by XGBoost Contributors
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*/
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#include <gtest/gtest.h>
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#include "../../../src/common/linalg_op.cuh"
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#include "xgboost/generic_parameters.h"
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#include "xgboost/linalg.h"
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namespace xgboost {
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namespace linalg {
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namespace {
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void TestElementWiseKernel() {
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Tensor<float, 3> l{{2, 3, 4}, 0};
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{
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/**
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* Non-contiguous
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*/
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// GPU view
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auto t = l.View(0).Slice(linalg::All(), 1, linalg::All());
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ASSERT_FALSE(t.Contiguous());
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ElementWiseKernelDevice(t, [] __device__(size_t i, float) { return i; });
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// CPU view
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t = l.View(GenericParameter::kCpuId).Slice(linalg::All(), 1, linalg::All());
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size_t k = 0;
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for (size_t i = 0; i < l.Shape(0); ++i) {
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for (size_t j = 0; j < l.Shape(2); ++j) {
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ASSERT_EQ(k++, t(i, j));
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}
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}
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t = l.View(0).Slice(linalg::All(), 1, linalg::All());
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ElementWiseKernelDevice(t, [] __device__(size_t i, float v) {
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SPAN_CHECK(v == i);
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return v;
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});
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}
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{
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/**
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* Contiguous
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*/
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auto t = l.View(0);
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ElementWiseKernelDevice(t, [] __device__(size_t i, float) { return i; });
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ASSERT_TRUE(t.Contiguous());
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// CPU view
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t = l.View(GenericParameter::kCpuId);
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size_t ind = 0;
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for (size_t i = 0; i < l.Shape(0); ++i) {
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for (size_t j = 0; j < l.Shape(1); ++j) {
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for (size_t k = 0; k < l.Shape(2); ++k) {
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ASSERT_EQ(ind++, t(i, j, k));
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}
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}
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}
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}
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}
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} // anonymous namespace
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TEST(Linalg, GPUElementWise) { TestElementWiseKernel(); }
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} // namespace linalg
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} // namespace xgboost
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