MegEngine/imperative/src/impl/ops/cond_take.cpp

#include "../dnn_op_helper.h"
#include "../op_trait.h"
#include "megbrain/imperative/ops/autogen.h"
#include "megbrain/opr/misc.h"

using namespace megdnn;

namespace mgb::imperative {

namespace {

cg::OperatorNodeBase* apply_on_var_node(const OpDef& def, const VarNodeArray& inputs) {
    auto&& op = def.cast_final_safe<CondTake>();
    auto&& graph = inputs[0]->owner_graph();

    opr::CondTake::Param param;
    param.val = 1;
    OperatorNodeConfig config{op.make_name()};
    cg::OperatorNodeBase* opr = graph->insert_opr(
            std::make_unique<opr::CondTake>(inputs[0], inputs[1], param, config));
    return opr;
}

SmallVector<TensorPtr> apply_on_physical_tensor(
        const OpDef& def, const SmallVector<TensorPtr>& inputs,
        SmallVector<LogicalTensorDesc>& output_descs, const bool& validated) {
    mgb_assert(inputs.size() == 2, "CondTake take 2 inputs, got %lu", inputs.size());

    auto&& inp = inputs[0];
    auto&& msk = inputs[1];
    mgb_assert(
            inp->layout().eq_shape(msk->layout()),
            "input shape does not match mask shape");
    mgb_assert(
            msk->get_value().dtype().enumv() == DTypeEnum::Bool,
            "mask dtype must be bool");
    if (inp->layout().is_empty()) {
        // empty tensor
        return {
                Tensor::make(TensorLayout{{0}, inp->dtype()}, inp->comp_node()),
                Tensor::make(TensorLayout{{0}, dtype::Int32()}, inp->comp_node()),
        };
    } else {
        // maybe we need to split CondTake
        megdnn::CondTake::Param param;
        param.val = 1;
        DnnOprCaller<megdnn::CondTake> dnn_op(inp->comp_node(), param);
        auto&& [out0, out1] = dnn_op.exec_dynout<2>(inp, msk);
        return {out0, out1};
    }
}

std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
        const OpDef& def, const SmallVector<LogicalTensorDesc>& inputs) {
    auto cn = inputs[0].comp_node;
    return {{{TensorLayout(inputs[0].layout.dtype), cn},
             {TensorLayout(dtype::Int32()), cn}},
            false};
}

OP_TRAIT_REG(CondTake, CondTake, opr::CondTake)
        .apply_on_var_node(apply_on_var_node)
        .apply_on_physical_tensor(apply_on_physical_tensor)
        .infer_output_attrs_fallible(infer_output_attrs_fallible)
        .fallback();

}  // namespace

}  // namespace mgb::imperative