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// Copyright (c) 2020, ARM Limited.
//
// 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 "image.h"
#include "arith_util.h"
#include "quant_util.h"
using namespace TosaReference;
using namespace Eigen;
using namespace tosa;
template <DType InDtype, DType OutDtype>
OpResize<InDtype, OutDtype>::OpResize(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_)
: GraphNode(Op_RESIZE, id_)
{
setRequiredOperands(1, 1);
setRequiredRank(4, 4);
INIT_ATTRIBUTE(Resize);
}
template <DType InDtype, DType OutDtype>
OpResize<InDtype, OutDtype>::~OpResize()
{
if (attribute)
delete attribute;
}
template <DType InDtype, DType OutDtype>
int OpResize<InDtype, OutDtype>::checkTensorAttributes()
{
if (validateRequiredOperands())
return 1;
if (validateRequiredRank(inputs[0]) || validateRequiredRank(outputs[0]))
return 1;
output_size = this->attribute->output_size();
stride = this->attribute->stride();
offset = this->attribute->offset();
shift = this->attribute->shift();
mode = this->attribute->mode();
int output_height = outputs[0]->getShape()[1];
int output_width = outputs[0]->getShape()[2];
if (this->mode == ResizeMode_BILINEAR)
{
if (OutDtype != DType_INT32 && OutDtype != DType_INT48)
{
printNodeValidationError("OpResize: invalid data type for BILINEAR");
return 1;
}
}
else
{
if (OutDtype != DType_INT8 && OutDtype != DType_INT16)
{
printNodeValidationError("OpResize: invalid data type for NEAREST");
return 1;
}
}
if (output_size[0] != output_height || output_size[1] != output_width)
{
printNodeValidationError("OpResize: attribute output_size doesn't match output [height, width]");
return 1;
}
if (shift < 1 || shift > 11)
{
printNodeValidationError("OpResize: attribute shift should be within [1, 11]");
return 1;
}
if (stride[0] <= 0 || stride[1] <= 0)
{
printNodeValidationError("OpResize: invalid attribute stride");
return 1;
}
in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]);
out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]);
ASSERT_MEM(in && out);
return 0;
}
template <DType InDtype, DType OutDtype>
int OpResize<InDtype, OutDtype>::eval()
{
int in_batch = in->getShape()[0];
int in_height = in->getShape()[1];
int in_width = in->getShape()[2];
int in_channels = in->getShape()[3];
int out_batch = out->getShape()[0];
int out_height = out->getShape()[1];
int out_width = out->getShape()[2];
int out_channels = out->getShape()[3];
ASSERT_MSG_NODE(in_batch == out_batch, "OpResize: output tensor batch mismatch");
ASSERT_MSG_NODE(in_channels == out_channels, "OpResize: output tensor channel mismatch");
for (int b = 0; b < out_batch; b++)
for (int c = 0; c < out_channels; c++)
for (int oy = 0; oy < out_height; oy++)
for (int ox = 0; ox < out_width; ox++)
{
int y = oy * stride[0] + offset[0];
int x = ox * stride[1] + offset[1];
int iy = y >> shift;
int dy = y - (iy << shift);
int ix = x >> shift;
int dx = x - (ix << shift);
int iy0 = MAX(iy, 0);
int iy1 = MIN(iy + 1, in_height - 1);
int ix0 = MAX(ix, 0);
int ix1 = MIN(ix + 1, in_width - 1);
ASSERT_MSG(iy0 <= iy1 && ix0 <= ix1, "OpResize: invalid index (iy0, iy1, ix0, ix1)=(%d,%d,%d,%d)",
iy0, iy1, ix0, ix1);
InEigenType v00 = in->getTensor()(b, iy0, ix0, c);
InEigenType v01 = in->getTensor()(b, iy0, ix1, c);
InEigenType v10 = in->getTensor()(b, iy1, ix0, c);
InEigenType v11 = in->getTensor()(b, iy1, ix1, c);
OutEigenType acc;
if (mode == ResizeMode_BILINEAR)
{
acc = (OutEigenType)v00 * ((1 << shift) - dy) * ((1 << shift) - dx);
acc = acc + (OutEigenType)v01 * ((1 << shift) - dy) * dx;
acc = acc + (OutEigenType)v10 * dy * ((1 << shift) - dx);
acc = acc + (OutEigenType)v11 * dy * dx;
}
else
{
iy = (dy >> (shift - 1)) != 0 ? iy1 : iy0;
ix = (dx >> (shift - 1)) != 0 ? ix1 : ix0;
acc = in->getTensor()(b, iy, ix, c);
}
out->getTensor()(b, oy, ox, c) = acc;
}
return GraphNode::eval();
}
// template explicit instantiation
DEF_INSTANTIATE_TWO_TYPE(OpResize, INT8, INT32);
DEF_INSTANTIATE_TWO_TYPE(OpResize, INT8, INT8);
DEF_INSTANTIATE_TWO_TYPE(OpResize, INT16, INT48);
DEF_INSTANTIATE_TWO_TYPE(OpResize, INT16, INT16);
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