megenginelite-sys 1.8.2

A safe megenginelite wrapper in Rust
Documentation 
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/**
 * \file dnn/src/naive/indexing_one_hot/opr_impl.cpp
 * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
 *
 * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 */

#include "./opr_impl.h"

#include "megdnn/tensor_iter.h"
#include "src/naive/handle.h"

#include "src/common/utils.h"

using namespace megdnn;
using namespace naive;

namespace {

template <typename data_type, typename idx_type = dt_int32>
void exec_get(
        const TensorND& src, const TensorND& index, const TensorND& dst,
        uint32_t axis) {
    TensorND src_nomid = src;
    src_nomid.layout.remove_axis_inplace(axis);
    auto src_mid_stride = src.layout.stride[axis];
    int src_mid_shape = src.layout.shape[axis];

    size_t nr_elems = src_nomid.layout.total_nr_elems();
    megdnn_assert(
            nr_elems == index.layout.total_nr_elems() &&
            nr_elems == dst.layout.total_nr_elems());
    auto src_iter = tensor_iter_valonly<data_type>(src_nomid).begin();
    auto idx_iter = tensor_iter_valonly<idx_type>(index).begin();
    auto dst_iter = tensor_iter_valonly<data_type>(dst).begin();

    data_type* sptr = src.ptr<data_type>();

    for (size_t i = 0; i < nr_elems; ++i) {
        auto idx = *idx_iter;
        megdnn_assert(
                idx >= 0 && idx < src_mid_shape,
                "bad value in IndexingOneHot index: input shape is %d, "
                "index value is %d",
                src_mid_shape, idx);
        *dst_iter = sptr[src_iter.offset() + *idx_iter * src_mid_stride];
        ++src_iter;
        ++dst_iter;
        ++idx_iter;
    }
}

template <typename data_type, typename idx_type = dt_int32>
void exec_set(
        const TensorND& data, const TensorND& index, const TensorND& sub,
        uint32_t axis) {
    TensorND data_nomid = data;
    data_nomid.layout.remove_axis_inplace(axis);
    auto data_mid_stride = data.layout.stride[axis];
    int data_mid_shape = data.layout.shape[axis];

    size_t nr_elems = data_nomid.layout.total_nr_elems();
    megdnn_assert(
            nr_elems == index.layout.total_nr_elems() &&
            nr_elems == sub.layout.total_nr_elems());
    auto data_iter = tensor_iter_valonly<data_type>(data_nomid).begin();
    auto idx_iter = tensor_iter_valonly<idx_type>(index).begin();
    auto sub_iter = tensor_iter_valonly<data_type>(sub).begin();

    data_type* dptr = data.ptr<data_type>();

    for (size_t i = 0; i < nr_elems; ++i) {
        auto idx = *idx_iter;
        megdnn_assert(idx >= 0 && idx < data_mid_shape);
        dptr[data_iter.offset() + *idx_iter * data_mid_stride] = *sub_iter;
        ++data_iter;
        ++sub_iter;
        ++idx_iter;
    }
}

}  // anonymous namespace

void IndexingOneHotForwardImpl::exec(
        _megdnn_tensor_in src, _megdnn_tensor_in index, _megdnn_tensor_out dst,
        _megdnn_workspace workspace) {
    check_exec(src.layout, index.layout, dst.layout, workspace.size);

#define cb(_dt)                                                                   \
    case DTypeTrait<_dt>::enumv: {                                                \
        MEGDNN_DISPATCH_CPU_KERN_OPR(                                             \
                exec_get<DTypeTrait<_dt>::ctype>(src, index, dst, param().axis)); \
        return;                                                                   \
    }
    switch (src.layout.dtype.enumv()) {
        MEGDNN_FOREACH_COMPUTING_DTYPE(cb)
        cb(megdnn::dtype::Quantized8Asymm) default : megdnn_throw("bad dtype");
    }
#undef cb
}

void IndexingSetOneHotForwardImpl::exec(
        _megdnn_tensor_inout data, _megdnn_tensor_in index, _megdnn_tensor_in sub,
        _megdnn_workspace workspace) {
    check_exec(data.layout, index.layout, sub.layout, workspace.size);

#define cb(_dt)                                                                    \
    case DTypeTrait<_dt>::enumv: {                                                 \
        MEGDNN_DISPATCH_CPU_KERN_OPR(                                              \
                exec_set<DTypeTrait<_dt>::ctype>(data, index, sub, param().axis)); \
        return;                                                                    \
    }
    switch (data.layout.dtype.enumv()) {
        MEGDNN_FOREACH_COMPUTING_DTYPE(cb)
        cb(megdnn::dtype::Quantized8Asymm) default : megdnn_throw("bad dtype");
    }
#undef cb
}

// vim: syntax=cpp.doxygen