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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "moco/Import/Nodes/StridedSlice.h"
#include <moco/IR/Nodes/TFStridedSlice.h>
#include <moco/IR/Nodes/TFConst.h>
#include <moco/Names.h>
#include "Convert.h"
#include <loco.h>
#include <plier/tf/Convert.h>
#include <oops/UserExn.h>
#include <memory>
namespace
{
using namespace moco;
class TFStridedSliceGraphUpdate final : public GraphUpdate
{
public:
TFStridedSliceGraphUpdate(TFStridedSlice *node, std::vector<TensorName> names)
: _node(node), _names(names)
{
}
void input(const SymbolTable *) const override;
private:
TFStridedSlice *_node;
std::vector<TensorName> _names;
};
void TFStridedSliceGraphUpdate::input(const SymbolTable *node_table) const
{
// TODO support size 3 where strides is None
assert(_names.size() == 4);
auto input_node = node_table->node(_names[0]);
auto begin_node = node_table->node(_names[1]);
auto end_node = node_table->node(_names[2]);
auto strides_node = node_table->node(_names[3]);
assert(input_node != nullptr);
assert(begin_node != nullptr);
assert(end_node != nullptr);
assert(strides_node != nullptr);
_node->input(input_node);
_node->begin(begin_node);
_node->end(end_node);
_node->strides(strides_node);
// TODO move validation codes to some suitable place
// Run basic validation
// TODO support full mask features
if (_node->begin_mask() != 0 || _node->end_mask() != 0 || _node->ellipsis_mask() != 0 ||
_node->new_axis_mask() != 0 || _node->shrink_axis_mask() != 1)
{
throw oops::UserExn("Mask attributes are not supported for now: ", _node->name());
}
// Only Const are supported for now
auto const_input = dynamic_cast<moco::TFConst *>(_node->input());
auto const_begin = dynamic_cast<moco::TFConst *>(_node->begin());
auto const_end = dynamic_cast<moco::TFConst *>(_node->end());
auto const_strides = dynamic_cast<moco::TFConst *>(_node->strides());
if (const_input == nullptr || const_begin == nullptr || const_end == nullptr ||
const_strides == nullptr)
{
throw oops::UserExn("Only Const inputs are supported for now: ", _node->name());
}
// TODO support S64
if (const_begin->dtype() != loco::DataType::S32 || const_end->dtype() != loco::DataType::S32 ||
const_strides->dtype() != loco::DataType::S32)
{
throw oops::UserExn("Only Const types of INT32 are supported for begin/end/strides for now: ",
_node->name());
}
// Input Rank should match number of elements of the begin/end/strides
auto rin = const_input->rank();
if (rin != const_begin->size<loco::DataType::S32>() ||
rin != const_end->size<loco::DataType::S32>() ||
rin != const_strides->size<loco::DataType::S32>())
{
throw oops::UserExn("Ranks for inputs should be same: ", _node->name());
}
// TODO support strides type of S64
// TODO support other strides value
// Only support stride 1 for now
uint32_t elements = const_strides->size<loco::DataType::S32>();
for (uint32_t e = 0; e < elements; ++e)
{
if (const_strides->at<loco::DataType::S32>(e) != 1)
{
throw oops::UserExn("Only stride 1 is supported for now: ", _node->name());
}
}
}
} // namespace
namespace moco
{
bool StridedSliceGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
// TODO support node.input_size() == 3 where strides is None
if (node.input_size() != 4)
return false;
if (!plier::tf::has_attrs(node, {"T", "Index", "begin_mask", "end_mask", "ellipsis_mask",
"new_axis_mask", "shrink_axis_mask"}))
return false;
return true;
}
void StridedSliceGraphBuilder::build(const tensorflow::NodeDef &node,
GraphBuilderContext *context) const
{
assert(context != nullptr);
loco::Graph *graph = context->graph();
SymbolTable *tensor_names = context->tensor_names();
UpdateQueue *updates = context->updates();
std::string node_name = node.name();
auto stridedslice = graph->nodes()->create<TFStridedSlice>();
stridedslice->name(node_name);
// read attributes
auto begin_mask = plier::tf::get_int_attr(node, "begin_mask");
auto end_mask = plier::tf::get_int_attr(node, "end_mask");
auto ellipsis_mask = plier::tf::get_int_attr(node, "ellipsis_mask");
auto new_axis_mask = plier::tf::get_int_attr(node, "new_axis_mask");
auto shrink_axis_mask = plier::tf::get_int_attr(node, "shrink_axis_mask");
stridedslice->begin_mask(begin_mask);
stridedslice->end_mask(end_mask);
stridedslice->ellipsis_mask(ellipsis_mask);
stridedslice->new_axis_mask(new_axis_mask);
stridedslice->shrink_axis_mask(shrink_axis_mask);
// TODO support general mask values: we support only this limited case for now
assert(begin_mask == 0);
assert(end_mask == 0);
assert(ellipsis_mask == 0);
assert(new_axis_mask == 0);
assert(shrink_axis_mask == 1);
// save the name for graph link updates
TensorName output_name(node_name, 0);
tensor_names->enroll(output_name, stridedslice);
std::vector<TensorName> input_names;
input_names.push_back(TensorName(node.input(0))); // input
input_names.push_back(TensorName(node.input(1))); // begin
input_names.push_back(TensorName(node.input(2))); // end
input_names.push_back(TensorName(node.input(3))); // strides
auto tfconv2d_update = std::make_unique<TFStridedSliceGraphUpdate>(stridedslice, input_names);
updates->enroll(std::move(tfconv2d_update));
}
} // namespace moco
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