"vscode:/vscode.git/clone" did not exist on "eb094e57f305f55e2e15a64a233522cf315c10ce"
gather.cpp 4.09 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
#include <migraphx/shape.hpp>
#include <migraphx/argument.hpp>
#include <migraphx/gpu/device/gather.hpp>
#include <migraphx/gpu/device/tensor.hpp>
#include <migraphx/gpu/device/launch.hpp>
#include <migraphx/gpu/device/types.hpp>
#include <migraphx/gpu/hip.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace gpu {
namespace device {

argument gather(hipStream_t stream,
                const migraphx::shape& output_shape,
                std::vector<migraphx::argument> args,
17
                int axis)
18
{
19
    int axis_index = (axis < 0) ? (axis + output_shape.lens().size()) : axis;
20
21
22
    visit_all(args.back(), args[0])([&](auto output, auto input) {
        std::size_t nelements = output_shape.elements();
        args[1].visit([&](auto indices) {
23
24
25
26
27
28
29
            const auto* indices_ptr = device_cast(indices.data());
            auto* outptr            = device_cast(output.data());
            const auto* inptr       = device_cast(input.data());
            if (output_shape.scalar())
            {
                gs_launch(stream, 1)([=](auto i) {
                    outptr[i]        = inptr[indices_ptr[0]];
30
                });
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
            }
            else {
                visit_tensor_size(output_shape.lens().size(), [&](auto n_out_dim) {
                    visit_tensor_size(args[0].get_shape().lens().size(), [&](auto n_in_dim) {
                        hip_tensor_descriptor<n_in_dim> desc_input(input.get_shape());
                        hip_tensor_descriptor<n_out_dim> desc_output(output.get_shape());
                        if (args[1].get_shape().scalar()) 
                        {
                            gs_launch(stream, nelements)([=](auto ii) {
                                auto out_idx        = desc_output.multi(ii);
                                auto in_idx = desc_input.multi(0);
                                for (int i = 0; i < axis_index; ++i)
                                {
                                    in_idx[i] = out_idx[i];
                                }
                                in_idx[axis_index] = indices_ptr[0];
                                for (int i = axis_index + 1; i < n_in_dim; ++i)
                                {
                                    in_idx[i] = out_idx[i - 1];
                                }
                                outptr[ii]        = inptr[desc_input.linear(in_idx)];
                            });
                        }
                        else 
                        {
                            visit_tensor_size(args[1].get_shape().lens().size(), [&](auto n_ind_dim) {
                                hip_tensor_descriptor<n_ind_dim> desc_ind(args[1].get_shape());
                                gs_launch(stream, nelements)([=](auto ii) {
                                    auto out_idx        = desc_output.multi(ii);
                                    auto in_idx = desc_input.multi(0);
                                    for (int i = 0; i < axis_index; ++i)
                                    {
                                        in_idx[i] = out_idx[i];
                                    }
                                    auto ind_idx = desc_ind.multi(0);
                                    for (int i = 0; i < n_ind_dim; ++i)
                                    {
                                        ind_idx[i] = out_idx[i + axis_index];
                                    }
                                    in_idx[axis_index] = indices_ptr[desc_ind.linear(ind_idx)];
                                    for (int i = axis_index + 1; i < n_in_dim; ++i)
                                    {
                                        in_idx[i] = out_idx[i + n_ind_dim - 1];
                                    }
                                    outptr[ii]        = inptr[desc_input.linear(in_idx)];
                                });
                            });
                        }
                    });
                });
            }
82
83
84
85
86
87
88
89
90
91
        });
    });

    return args.back();
}

} // namespace device
} // namespace gpu
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx