d594b11f35
* Implement Transform class. * Add tests for softmax. * Use Transform in regression, softmax and hinge objectives, except for Cox. * Mark old gpu objective functions deprecated. * static_assert for softmax. * Split up multi-gpu tests.
43 lines
1.3 KiB
Plaintext
43 lines
1.3 KiB
Plaintext
// This converts all tests from CPU to GPU.
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#include "test_transform_range.cc"
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#if defined(XGBOOST_USE_NCCL)
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namespace xgboost {
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namespace common {
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// Test here is multi gpu specific
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TEST(Transform, MGPU_Basic) {
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auto devices = GPUSet::AllVisible();
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CHECK_GT(devices.Size(), 1);
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const size_t size {256};
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std::vector<bst_float> h_in(size);
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std::vector<bst_float> h_out(size);
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InitializeRange(h_in.begin(), h_in.end());
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std::vector<bst_float> h_sol(size);
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InitializeRange(h_sol.begin(), h_sol.end());
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const HostDeviceVector<bst_float> in_vec {h_in,
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GPUDistribution::Block(GPUSet::Empty())};
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HostDeviceVector<bst_float> out_vec {h_out,
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GPUDistribution::Block(GPUSet::Empty())};
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out_vec.Fill(0);
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in_vec.Reshard(GPUDistribution::Granular(devices, 8));
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out_vec.Reshard(GPUDistribution::Block(devices));
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// Granularity is different, resharding will throw.
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EXPECT_ANY_THROW(
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Transform<>::Init(TestTransformRange<bst_float>{}, Range{0, size}, devices)
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.Eval(&out_vec, &in_vec));
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Transform<>::Init(TestTransformRange<bst_float>{}, Range{0, size},
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devices, false).Eval(&out_vec, &in_vec);
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std::vector<bst_float> res = out_vec.HostVector();
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ASSERT_TRUE(std::equal(h_sol.begin(), h_sol.end(), res.begin()));
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}
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} // namespace xgboost
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} // namespace common
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#endif |