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/*
// Copyright (c) 2016 Intel Corporation
//
// 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 "crop_inst.h"
#include "primitive_type_base.h"
#include "memory_impl.h"
#include "error_handler.h"
#include "json_object.h"
namespace cldnn
{
primitive_type_id crop_type_id()
{
static primitive_type_base<crop> instance;
return &instance;
}
layout crop_inst::calc_output_layout(crop_node const& node)
{
auto input_layout = node.input().get_output_layout();
auto result = layout({ input_layout.data_type, input_layout.format, node.get_primitive()->reference_input });
return result;
}
std::string crop_inst::to_string(crop_node const& node)
{
auto desc = node.get_primitive();
auto offsets = desc->offsets;
auto node_info = node.desc_to_json();
auto ref_input = desc->reference_input;
std::stringstream primitive_description;
json_composite crop_info;
crop_info.add("reference input", ref_input.to_string());
crop_info.add("offset", offsets.to_string());
node_info.add("crop info", crop_info);
node_info.dump(primitive_description);
return primitive_description.str();
}
crop_inst::typed_primitive_inst(network_impl& network, crop_node const& node)
:parent(network, node)
{
auto reference_input_sizes = argument.reference_input;
auto inp_layout = node.input().get_output_layout();
auto input_sizes = inp_layout.size;
auto input_format = inp_layout.format;
auto offsets = argument.offsets;
CLDNN_ERROR_NOT_PROPER_FORMAT(node.id(), "Input format", input_format.value, "supported crop input formats", format::yxfb, format::bfyx );
//check if output sizes matches reference input sizes
CLDNN_ERROR_TENSOR_SIZES_GREATER_THAN(node.id(), "Reference input", reference_input_sizes, "input sizes", input_sizes, "Reference input tensor/ input tensor mismtach");
//check if offsets do not extend input sizes and if match the output sizes
CLDNN_ERROR_TENSOR_SIZES_LESS_THAN(node.id(), "Batch offsets", offsets, "0 value", { 0, 0, 0, 0 }, "Invalid Batch offset: negative value");
auto input_size_sub_offsets = input_sizes - offsets;
CLDNN_ERROR_TENSOR_SIZES_LESS_THAN(node.id(), "input sizes - offsets", input_size_sub_offsets, "reference input sizes", reference_input_sizes, "Invalid Batch offset: exceeds data for output!");
if (node.can_be_optimized())
{
build_deps();
reuse_input();
}
}
void crop_inst::on_execute()
{
if (!node.can_be_optimized())
return;
if (_output && _network.get_engine().is_the_same_buffer(output_memory(), input_memory()))
return;
reuse_input();
}
void crop_inst::reuse_input()
{
_output = _network.get_engine().reinterpret_buffer(input_memory(), node.get_output_layout());
}
}
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