wehub-resource-sync
144 lines
4.3 KiB
C++
144 lines
4.3 KiB
C++
/* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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// This file is copied in MLIR to avoid a dependency on TFLite.
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// LINT.IfChange
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#include "tensorflow/lite/kernels/internal/runtime_shape.h"
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#include <cstddef>
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#include <cstdint>
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#include <cstring>
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#include <limits>
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#include "tensorflow/lite/kernels/internal/compatibility.h"
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namespace tflite {
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namespace {
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bool CheckedMul(size_t a, size_t b, size_t& product) {
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if (a != 0 && b > std::numeric_limits<size_t>::max() / a) {
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return false;
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}
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product = a * b;
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return true;
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}
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bool CheckedMul(size_t a, int32_t b, size_t& product) {
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if (b < 0) return false;
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return CheckedMul(a, static_cast<size_t>(b), product);
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}
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bool CheckedCast(size_t in, int& out) {
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if (in > static_cast<size_t>(std::numeric_limits<int>::max())) return false;
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out = static_cast<int>(in);
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return true;
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}
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} // namespace
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RuntimeShape::~RuntimeShape() {
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#ifndef TF_LITE_STATIC_MEMORY
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if (size_ > kMaxSmallSize) {
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delete[] dims_pointer_;
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}
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#endif // TF_LITE_STATIC_MEMORY
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}
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int32_t RuntimeShape::Dims(int i) const {
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TFLITE_DCHECK_GE(i, 0);
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TFLITE_DCHECK_LT(i, size_);
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#ifndef TF_LITE_STATIC_MEMORY
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return size_ > kMaxSmallSize ? dims_pointer_[i] : dims_[i];
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#else
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return dims_[i];
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#endif // TF_LITE_STATIC_MEMORY
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}
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void RuntimeShape::ReplaceWith(int dimensions_count, const int32_t* dims_data) {
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TFLITE_DCHECK_GE(dimensions_count, 0);
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#ifndef TF_LITE_STATIC_MEMORY
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Resize(dimensions_count);
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int32_t* dst_dims = DimsData();
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#else
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TFLITE_DCHECK_LE(dimensions_count, kMaxSmallSize);
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size_ = dimensions_count;
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int32_t* dst_dims = DimsData();
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#endif // TF_LITE_STATIC_MEMORY
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std::memcpy(dst_dims, dims_data, dimensions_count * sizeof(int32_t));
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}
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int RuntimeShape::FlatSize() const {
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int buffer_size = 1;
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const int* dims_data = reinterpret_cast<const int*>(DimsData());
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for (int i = 0; i < size_; i++) {
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buffer_size *= dims_data[i];
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}
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return buffer_size;
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}
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bool RuntimeShape::CheckedNumElementsInRange(int start, int end,
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size_t& out) const {
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if (start < 0 || end < start || end > size_) return false;
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size_t checked_out = 1;
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const int32_t* dims_data = DimsData();
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for (int i = start; i < end; ++i) {
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if (!CheckedMul(checked_out, dims_data[i], checked_out)) return false;
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}
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out = checked_out;
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return true;
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}
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bool RuntimeShape::CheckedNumElementsInRange(int start, int end,
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int& out) const {
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size_t checked_out = 0;
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return CheckedNumElementsInRange(start, end, checked_out) &&
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CheckedCast(checked_out, out);
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}
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bool RuntimeShape::CheckedSizeToDimension(int end, size_t& out) const {
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return CheckedNumElementsInRange(0, end, out);
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}
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bool RuntimeShape::CheckedSizeToDimension(int end, int& out) const {
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return CheckedNumElementsInRange(0, end, out);
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}
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bool RuntimeShape::CheckedSizeFromDimension(int start, size_t& out) const {
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return CheckedNumElementsInRange(start, size_, out);
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}
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bool RuntimeShape::CheckedSizeFromDimension(int start, int& out) const {
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return CheckedNumElementsInRange(start, size_, out);
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}
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bool RuntimeShape::CheckedFlatSize(size_t& flat_size) const {
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return CheckedNumElementsInRange(0, size_, flat_size);
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}
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bool RuntimeShape::CheckedFlatSizeSkipDim(int skip_dim,
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size_t& flat_size) const {
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if (skip_dim < 0 || skip_dim >= size_) return false;
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size_t prefix = 0;
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if (!CheckedNumElementsInRange(0, skip_dim, prefix)) return false;
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size_t suffix = 0;
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if (!CheckedNumElementsInRange(skip_dim + 1, size_, suffix)) return false;
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return CheckedMul(prefix, suffix, flat_size);
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}
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} // namespace tflite
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// LINT.ThenChange(//tensorflow/compiler/mlir/lite/kernels/internal/runtime_shape.cc)
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