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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018-2020 Intel Corporation
#include "precomp.hpp"
#include <ade/util/zip_range.hpp> // util::indexed
#include <ade/graph.hpp>
#include <ade/passes/check_cycles.hpp>
#include "compiler/gmodel.hpp"
#include "compiler/passes/passes.hpp"
#include "logger.hpp" // GAPI_LOG
// Iterate over all nodes and initialize meta of objects taken from the
// outside (i.e., computation input/output arguments)
void cv::gimpl::passes::initMeta(ade::passes::PassContext &ctx, const GMetaArgs &metas)
{
GModel::Graph gr(ctx.graph);
const auto &proto = gr.metadata().get<Protocol>();
for (const auto it : ade::util::indexed(proto.in_nhs))
{
auto& data = gr.metadata(ade::util::value(it)).get<Data>();
data.meta = metas.at(ade::util::index(it));
}
}
// Iterate over all operations in the topological order, trigger kernels
// validate() function, update output objects metadata.
void cv::gimpl::passes::inferMeta(ade::passes::PassContext &ctx, bool meta_is_initialized)
{
// FIXME: ADE pass dependency on topo_sort?
// FIXME: ADE pass dependency on initMeta?
GModel::Graph gr(ctx.graph);
const auto sorted = gr.metadata().get<ade::passes::TopologicalSortData>() ;
for (const auto &nh : sorted.nodes())
{
if (gr.metadata(nh).get<NodeType>().t == NodeType::OP)
{
const auto& op = gr.metadata(nh).get<Op>();
GAPI_Assert(op.k.outMeta != nullptr);
// Prepare operation's input metadata vector
// Note that it's size is usually different from nh.inEdges.size(),
// and its element count is equal to operation's arguments count
// (which may contain graph-construction-time parameters like integers, etc)
GMetaArgs input_meta_args(op.args.size());
// Iterate through input edges, update input_meta_args's slots
// appropriately. Not all of them will be updated due to (see above).
GAPI_Assert(nh->inEdges().size() > 0);
for (const auto &in_eh : nh->inEdges())
{
const auto& input_port = gr.metadata(in_eh).get<Input>().port;
const auto& input_nh = in_eh->srcNode();
GAPI_Assert(gr.metadata(input_nh).get<NodeType>().t == NodeType::DATA);
const auto& input_meta = gr.metadata(input_nh).get<Data>().meta;
if (util::holds_alternative<util::monostate>(input_meta))
{
// No meta in an input argument - a fatal error
// (note graph is traversed here in topoligcal order)
util::throw_error(std::logic_error("Fatal: input object's metadata "
"not found!"));
// FIXME: Add more details!!!
}
input_meta_args.at(input_port) = input_meta;
}
// Now ask kernel for it's output meta.
// Resulting out_args may have a larger size than op.outs, since some
// outputs could stay unused (unconnected)
const auto out_metas = gr.metadata(nh).contains<CustomMetaFunction>()
? gr.metadata(nh).get<CustomMetaFunction>().customOutMeta(ctx.graph,
nh,
input_meta_args,
op.args)
: op.k.outMeta(input_meta_args, op.args);
// Walk through operation's outputs, update meta of output objects
// appropriately
GAPI_Assert(nh->outEdges().size() > 0);
for (const auto &out_eh : nh->outEdges())
{
const auto &output_port = gr.metadata(out_eh).get<Output>().port;
const auto &output_nh = out_eh->dstNode();
GAPI_Assert(gr.metadata(output_nh).get<NodeType>().t == NodeType::DATA);
auto &output_meta = gr.metadata(output_nh).get<Data>().meta;
cv::util::suppress_unused_warning(meta_is_initialized);
// FIXME: calling compile() with meta the second time when cannot reshape will lead to error below
//if (!meta_is_initialized && !util::holds_alternative<util::monostate>(output_meta))
//{
// GAPI_LOG_INFO(NULL,
// "!!! Output object has an initialized meta - "
// "how it is possible today?" << std::endl; );
// if (output_meta != out_metas.at(output_port))
// {
// util::throw_error(std::logic_error("Fatal: meta mismatch"));
// // FIXME: New exception type?
// // FIXME: More details!
// }
//}
// Store meta in graph
output_meta = out_metas.at(output_port);
}
} // if(OP)
} // for(sorted)
}
// After all metadata in graph is inferred, store a vector of inferred metas
// for computation output values.
void cv::gimpl::passes::storeResultingMeta(ade::passes::PassContext &ctx)
{
GModel::Graph gr(ctx.graph);
const auto &proto = gr.metadata().get<Protocol>();
GMetaArgs output_metas(proto.out_nhs.size());
for (const auto it : ade::util::indexed(proto.out_nhs))
{
auto& data = gr.metadata(ade::util::value(it)).get<Data>();
output_metas[ade::util::index(it)] = data.meta;
}
gr.metadata().set(OutputMeta{output_metas});
}
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