File size: 8,959 Bytes
25ade36 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 | /* Copyright 2018 The TensorFlow Authors. 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.
==============================================================================*/
#ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_STRIDED_SLICE_LOGIC_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_STRIDED_SLICE_LOGIC_H_
#include <limits>
#include <vector>
#include "edge-impulse-sdk/tensorflow/lite/kernels/internal/compatibility.h"
#include "edge-impulse-sdk/tensorflow/lite/kernels/internal/types.h"
namespace tflite {
namespace strided_slice {
// Use until std::clamp() is available from C++17.
inline int Clamp(const int v, const int lo, const int hi) {
TFLITE_DCHECK(!(hi < lo));
if (hi < v) return hi;
if (v < lo) return lo;
return v;
}
inline void StridedSlicePadIndices(tflite::StridedSliceParams* p,
int dim_count) {
// Add indices and mask bits to fully include extra dimensions
TFLITE_CHECK_LE(dim_count, 5);
TFLITE_CHECK_GE(dim_count, p->start_indices_count);
TFLITE_CHECK_EQ(p->start_indices_count, p->stop_indices_count);
TFLITE_CHECK_EQ(p->stop_indices_count, p->strides_count);
const int pad_count = dim_count - p->start_indices_count;
// Pad indices at start, so move arrays by pad_count.
for (int i = p->start_indices_count - 1; i >= 0; --i) {
p->strides[i + pad_count] = p->strides[i];
p->start_indices[i + pad_count] = p->start_indices[i];
p->stop_indices[i + pad_count] = p->stop_indices[i];
}
for (int i = 0; i < pad_count; ++i) {
p->start_indices[i] = 0;
p->stop_indices[i] = 1;
p->strides[i] = 1;
}
// Pad masks with 0s or 1s as required.
p->shrink_axis_mask <<= pad_count;
p->ellipsis_mask <<= pad_count;
p->new_axis_mask <<= pad_count;
p->begin_mask <<= pad_count;
p->end_mask <<= pad_count;
p->begin_mask |= (1 << pad_count) - 1;
p->end_mask |= (1 << pad_count) - 1;
p->start_indices_count = dim_count;
p->stop_indices_count = dim_count;
p->strides_count = dim_count;
}
// Return the index for the first element along that axis. This index will be a
// positive integer between [0, axis_size] (or [-1, axis_size -1] if stride < 0)
// that can be used to index directly into the data.
inline int StridedSliceStartForAxis(const tflite::StridedSliceParams& params,
const RuntimeShape& input_shape,
int32_t axis) {
const int32_t axis_size = input_shape.Dims(axis);
int32_t start = params.start_indices[axis];
const int32_t stride = params.strides[axis];
const int32_t begin_mask = (params.begin_mask & 1 << axis);
if (start < 0) {
start += axis_size;
}
if (stride > 0) {
start = Clamp(start, 0, axis_size);
} else {
start = Clamp(start, -1, axis_size - 1);
}
if (begin_mask) {
if (stride > 0) {
start = 0;
} else {
start = axis_size - 1;
}
}
return start;
}
inline int StridedSliceEndForAxis(const tflite::StridedSliceParams& params,
const RuntimeShape& input_shape, int axis,
int start) {
const auto shrink_axis_mask = params.shrink_axis_mask;
const bool shrink_axis = shrink_axis_mask & (1 << axis);
const int axis_size = input_shape.Dims(axis);
if (shrink_axis) {
if (start >= axis_size) {
return start;
} else {
return start + 1;
}
}
const auto* indices = params.stop_indices;
int end = indices[axis];
const int32_t stride = params.strides[axis];
const int32_t end_mask = (params.end_mask & 1 << axis);
if (end < 0) {
end += axis_size;
}
if (stride > 0) {
end = Clamp(end, 0, axis_size);
} else {
end = Clamp(end, -1, axis_size - 1);
}
if (end_mask) {
if (stride > 0) {
end = axis_size;
} else {
end = -1;
}
}
return end;
}
// Return the index for the first element along that axis. This index will be a
// positive integer between [0, axis_size] (or [-1, axis_size -1] if stride < 0)
// that can be used to index directly into the data.
inline int StartForAxis(const tflite::StridedSliceParams& params,
const RuntimeShape& input_shape, int axis) {
const auto begin_mask = params.begin_mask;
const auto* start_indices = params.start_indices;
const auto* strides = params.strides;
const int axis_size = input_shape.Dims(axis);
if (axis_size == 0) {
return 0;
}
// Begin with the specified index.
int start = start_indices[axis];
// begin_mask override
if (begin_mask & 1 << axis) {
if (strides[axis] > 0) {
// Forward iteration - use the first element. These values will get
// clamped below (Note: We could have set them to 0 and axis_size-1, but
// use lowest() and max() to maintain symmetry with StopForAxis())
start = std::numeric_limits<int>::lowest();
} else {
// Backward iteration - use the last element.
start = std::numeric_limits<int>::max();
}
}
// Handle negative indices
if (start < 0) {
start += axis_size;
}
// Clamping
if (strides[axis] > 0) {
// Forward iteration
start = Clamp(start, 0, axis_size);
} else {
// Backward iteration
start = Clamp(start, -1, axis_size - 1);
}
return start;
}
// Return the "real" index for the end of iteration along that axis. This is an
// "end" in the traditional C sense, in that it points to one past the last
// element. ie. So if you were iterating through all elements of a 1D array of
// size 4, this function would return 4 as the stop, because it is one past the
// "real" indices of 0, 1, 2 & 3.
inline int StopForAxis(const tflite::StridedSliceParams& params,
const RuntimeShape& input_shape, int axis,
int start_for_axis) {
const auto end_mask = params.end_mask;
const auto shrink_axis_mask = params.shrink_axis_mask;
const auto* stop_indices = params.stop_indices;
const auto* strides = params.strides;
const int axis_size = input_shape.Dims(axis);
if (axis_size == 0) {
return 0;
}
// Begin with the specified index
const bool shrink_axis = shrink_axis_mask & (1 << axis);
int stop = stop_indices[axis];
// When shrinking an axis, the end position does not matter (and can be
// incorrect when negative indexing is used, see Issue #19260). Always use
// start_for_axis + 1 to generate a length 1 slice, since start_for_axis has
// already been adjusted for negative indices.
if (shrink_axis) {
return start_for_axis + 1;
}
// end_mask override
if (end_mask & (1 << axis)) {
if (strides[axis] > 0) {
// Forward iteration - use the last element. These values will get
// clamped below
stop = std::numeric_limits<int>::max();
} else {
// Backward iteration - use the first element.
stop = std::numeric_limits<int>::lowest();
}
}
// Handle negative indices
if (stop < 0) {
stop += axis_size;
}
// Clamping
// Because the end index points one past the last element, we need slightly
// different clamping ranges depending on the direction.
if (strides[axis] > 0) {
// Forward iteration
stop = Clamp(stop, 0, axis_size);
} else {
// Backward iteration
stop = Clamp(stop, -1, axis_size - 1);
}
return stop;
}
inline bool LoopCondition(int index, int stop, int stride) {
// True when we have reached the end of an axis and should loop.
return stride > 0 ? index >= stop : index <= stop;
}
inline tflite::StridedSliceParams BuildStridedSliceParams(
int begin_mask, int end_mask, int shrink_axis_mask,
const std::vector<int>& start_indices, const std::vector<int>& stop_indices,
const std::vector<int>& strides) {
tflite::StridedSliceParams op_params;
const int dims_count = start_indices.size();
op_params.start_indices_count = dims_count;
op_params.stop_indices_count = dims_count;
op_params.strides_count = dims_count;
for (int i = 0; i < dims_count; ++i) {
op_params.start_indices[i] = start_indices[i];
op_params.stop_indices[i] = stop_indices[i];
op_params.strides[i] = strides[i];
}
op_params.begin_mask = begin_mask;
op_params.ellipsis_mask = 0;
op_params.end_mask = end_mask;
op_params.new_axis_mask = 0;
op_params.shrink_axis_mask = shrink_axis_mask;
return op_params;
}
} // namespace strided_slice
} // namespace tflite
#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_STRIDED_SLICE_LOGIC_H_
|