android-10.0.0_r47/s

/* 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.
==============================================================================*/

// Range coder implementation, based on [1].
//
// [1] G. N. N. Martin, "Range coding: an algorithm for removing redundancy from
// a digitised message", presented to the Video & Data Recording Conference,
// held in Southampton, July 24-27, 1979.
//
#include "tensorflow/contrib/coder/kernels/range_coder.h"

#include <limits>
#include <string>

#include "tensorflow/core/lib/gtl/array_slice.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
RangeEncoder::RangeEncoder(int precision) : precision_(precision) {
  CHECK_GT(precision, 0);
  CHECK_LE(precision, 16);
}

void RangeEncoder::Encode(int32 lower, int32 upper, string* sink) {
  // Input requirement: 0 <= lower < upper <= 2^precision.
  DCHECK_LE(0, lower);
  DCHECK_LT(lower, upper);
  DCHECK_LE(upper, 1 << precision_);

  // `base` and `size` represent a half-open interval [base, base + size).
  // Loop invariant: 2^16 <= size <= 2^32.
  //
  // Note that keeping size above 2^16 is important. Since the interval sizes
  // are quantized to up to 16 bits, the smallest interval size the encode may
  // handle is 2^-16. If size is smaller than 2^16, a small interval input may
  // collapse the encoder range into an empty interval.
  const uint64 size = static_cast<uint64>(size_minus1_) + 1;
  DCHECK_NE(size >> 16, 0);

  // For short notation, let u := lower and v := upper.
  //
  // The input u, v represents a half-open interval [u, v) / 2^precision.
  // This narrows the current interval roughly to
  // [base + (size * u) / 2^precision, base + (size * v) / 2^precision).
  //
  // TODO(sjhwang): Try rounding if it helps improve compression ratio, at the
  // expense of more operations. In the test using Zipf distribution, the
  // overhead over the theoretical compression ratio was ~0.01%.
  // NOTE: The max value of `size` is 2^32 and size > 0. Therefore `size * u`
  // can be rewritten as `(size - 1) * u + u` and all the computation can be
  // done in 32-bit mode. If 32-bit multiply is faster, then rewrite.
  const uint32 a = (size * static_cast<uint64>(lower)) >> precision_;
  const uint32 b = ((size * static_cast<uint64>(upper)) >> precision_) - 1;
  DCHECK_LE(a, b);

  // Let's confirm the RHS of a, b fit in uint32 type.
  // Recall that 0 <= u < 2^precision, and size <= 2^32. Therefore
  //   (size * u) / 2^precision < size <= 2^32,
  // and the value of a fits in uint32 type. Similarly, since v <= 2^precision,
  //   (size * v) / 2^precision - 1 <= size - 1 < 2^32.
  // For lower bound of b, note that 1 <= v, 2^16 <= size, and 16 <= precision.
  // Therefore (size * v) / 2^precision - 1 >= 2^16 / 2^precision - 1 >= 0.

  // The new interval is [base + a, base + b] = [base + a, base + b + 1).
  base_ += a;  // May overflow.
  size_minus1_ = b - a;
  const bool base_overflow = (base_ < a);

  // The encoder has two states. Let's call them state 0 and state 1.
  // State 0 is when base < base + size <= 2^32.
  // State 1 is when base < 2^32 < base + size.
  //
  // The encoder initially starts in state 0, with base = 0, size = 2^32.
  //
  // TODO(sjhwang): Requires some profiling, but the encoder stays in state 0
  // most of the time. Should optimize code for state 0.
  //
  // Each Encode() has up to two places where the interval changes:
  //   #1. Refine the interval. [base, base + size) -> [base + a, base + b + 1).
  //   #2. Expand interval if the new size is too small,
  // and each change may cause a state transition.
  //
  // First, consider when the current state is 0.
  //
  // In this case, the next state after #1 is always state 0, since refining
  // interval only shrinks the interval, therefore new_base + new_size <= 2^32.
  //
  // Let us explain #2.
  //
  // Recall that at the beginning of each Encode(), the encoder requires
  // 2^16 < size <= 2^32. As precision <= 16, the new interval size can be as
  // small as 1, but never zero.
  //
  // To keep size above 2^16, if new size is smaller than or equal to 2^16, the
  // encoder would left-shift base and size by 16 bits: size' <- size * 2^16.
  // Note that new size' is now in the range [2^16, 2^32].
  //
  // Since size is left-shifted, the same should be applied to base as well.
  // However, after the left-shift, base will then contain 48 bits instead of 32
  // bits. Therefore prior to the shift, The upper 16 bits in base should be
  // stored somewhere else.
  //
  // If the upper 16 bits of all values in the interval were the same, i.e., if
  // base[32:16] == (base + size - 1)[32:16], then base[32:16] can be written
  // out to `output` string, since any further Encode() only narrows down the
  // interval and that 16 bits would never change.
  //
  // If the upper 16 bits were not all the same, since this happens only when
  // size <= 2^16, the upper 16 bits may differ only by one, i.e.,
  // base[32:16] + 1 == (base + size - 1)[32:16]. At this stage, it is not
  // determined yet whether base[32:16] should be written to the output  or
  // (base[32:16] + 1) should be written to the output. In this case,
  // (base[32:16] + 1) is temporarily stored in `delay`, and base is
  // left-shifted by 16 bits.
  //
  // In the latter case, the condition implies that (base // 2^16) and
  // ((base + size - 1) // 2^16) were different. Therefore after left-shift by
  // 16 bits, the new (base + size) is greater than 2^32, i.e., the encoder
  // transition to state 1.
  //
  // ==== Summary ====
  // To detect the current encoder state,
  //   state 0: delay == 0 iff (base mod 2^32) < (base + size) mod 2^32,
  //   state 1: delay != 0 iff (base + size) mod 2^32 <= base mod 2^32,
  // because size <= 2^32.
  //
  // ==== Summary for state 0 ====
  // 1. Interval refinement does not cause state transition.
  // 2. Interval expansion may cause state transition, depending on the upper 16
  // bits of base and base + size - 1.
  //
  // Now suppose the previous state was 1. This means that
  // base <= 2^32 < base + size.
  //
  // When in state 1, an interval refinement may trigger state transition.
  // After Encode() refines the interval, there are three possibilities:
  //   #1. base <= 2^32 < base + size (unchanged),
  //   #2. 2^32 <= base < base + size (base overflowed),
  //   #3. base < base + size <= 2^32 (base + size - 1 underflowed).
  //
  // In case #1, the encoder remains in state 1.
  // In case #2 or #3, the encoder state changes to state 0.
  //
  // ==== State transition for interval refinement ====
  // 1. state 0 -> state 0,
  // 2. state 1 -> state 0 or state 1.
  //
  // Therefore if the new state is 1, then the previous state must have been
  // state 1.
  if (base_ + size_minus1_ < base_) {
    // If statement checked if 2^32 < base + size. The new state is 1, hence the
    // previous state was also state 1.
    DCHECK_NE(((base_ - a) + size) >> 32, 0);
    DCHECK_NE(delay_ & 0xFFFF, 0);

    // Like in state 0, if the new size is <= 2^16, then base and size should
    // be left-shifted by 16 bits. Combine the conditions
    // base <= 2^32 < base + size and size <= 2^16 to conclude that
    // base[32:16] >= 0xFFFF and (base + size - 1)[32:16] = 0x0000.
    //
    // Note that 2^32 - base < size, and since base is at least 0xFFFF0000,
    // 2^16 - base[16:0] < size. Let base' and size' be the new base and size
    // after the bit-shift. Then 2^32 - base' < size' => 2^32 < base' + size'.
    // Therefore the encoder remains in state 1.
    //
    // Lastly, `delay` is modified. Conceptually, delay has to be changed to
    //   delay' <- delay * 2^16 + (base + size - 1)[32:16].
    // Since we know above that (base + size - 1)[32:16] = 0x0000, there is no
    // need to explicitly do the computation above, but rather store how many
    // trailing zeros there were. For this reason, the lower 16 bits of
    // `delay` stores the delayed value when state changed from 0 to 1, and
    // delay[32:16] stores the # of trailing zeros (in bytes).
    //
    // ==== State transition for interval expansion ====
    // 1. state 0 -> state 0 or state 1,
    // 2. state 1 -> state 1.
    if (size_minus1_ >> 16 == 0) {
      DCHECK_EQ(base_ >> 16, 0xFFFF);
      base_ <<= 16;
      size_minus1_ <<= 16;
      size_minus1_ |= 0xFFFF;
      // TODO(sjhwang): It is possible that for very long input, delay
      // overflow during below. If overflow is detected, this delay is too
      // long the encoder should forcefully move to state 0. In such case,
      // base can be raised to 2^32 (force case #2), or (base + size) can be
      // lowered to 2^32 (force case #3), depending on which transition
      // keeps size larger.
      CHECK_LT(delay_, static_cast<uint64>(1) << 62);
      delay_ += 0x20000;  // Two more bytes of zeros. Check overflow?
    }
    return;
  }

  // If reached here, the current state is 0.
  // First handle the case when the previous state was state 1.
  if (delay_ != 0) {
    // In case #2 or #3, the encoder state changes to state 0. Recall that when
    // the encoder state changed from state 0 to state 1, the top 16 bits of
    // (base + size - 1) was temporarily stored in `delay`, because the output
    // could be either (delay - 1) or (delay).
    //
    // And from above, the delayed value encoded in `delay` is
    //   delay' <- delay[16:0] * 2^(8 * delay[MAX:16])
    //
    // In case #2, the interval moved below 2^32. So (delay' - 1) is the
    // converged value after interval refinements. Write out
    // (delay[16:0] - 1) and write (8 * delay[MAX:16]) bytes of 0xFF.
    //
    // In case #3, the interval moved above 2^32. So delay' is the converged
    // value after interval refinement. Write out delay[16:0] and write
    // (8 * delay[MAX:16]) bytes of 0x00.
    if (base_overflow) {
      // Case #2.
      DCHECK_NE((static_cast<uint64>(base_ - a) + a) >> 32, 0);
      sink->push_back(static_cast<char>(delay_ >> 8));
      sink->push_back(static_cast<char>(delay_ >> 0));
      sink->append(delay_ >> 16, static_cast<char>(0));
    } else {
      // Case #3.
      DCHECK_EQ(static_cast<uint64>(base_ + size_minus1_) >> 32, 0);
      --delay_;
      sink->push_back(static_cast<char>(delay_ >> 8));
      sink->push_back(static_cast<char>(delay_ >> 0));
      sink->append(delay_ >> 16, static_cast<char>(0xFF));
    }
    // Reset to state 0.
    delay_ = 0;
  }

  if (size_minus1_ >> 16 == 0) {
    const uint32 top = base_ >> 16;

    base_ <<= 16;
    size_minus1_ <<= 16;
    size_minus1_ |= 0xFFFF;

    if (base_ <= base_ + size_minus1_) {
      // Still in state 0. Write the top 16 bits.
      sink->push_back(static_cast<char>(top >> 8));
      sink->push_back(static_cast<char>(top));
    } else {
      // New state is 1.
      DCHECK_LT(top, 0xFFFF);
      delay_ = top + 1;
    }
  }
}

void RangeEncoder::Finalize(string* sink) {
  // Finalize the encode by writing out any number in the interval
  // [base, base + size).
  //
  // Trailing zeros are not explicitly written out as decoder can fill in zeros
  // by default.
  if (delay_ != 0) {
    // The last state was state 1. Since base < 2^32 < base + size, pick 2^32
    // (state 1, case #3).
    // NOTE: It is a bit difficult to trigger this code path on purpose.
    // TODO(sjhwang): Find a way to trigger this code path for test coverage.
    sink->push_back(static_cast<char>(delay_ >> 8));
    if ((delay_ & 0xFF) != 0) {
      sink->push_back(static_cast<char>(delay_));
    }
  } else if (base_ != 0) {
    // If base == 0, then pick 0 from [base, base + size) and no zeros are
    // explicitly written.
    //
    // Otherwise, pick (base + (2^16 - base[16:0])), i.e., round up base to the
    // next multiple of 2^16. As 2^16 < size, this value should be in the
    // interval [base, base + size).
    const uint32 mid = ((base_ - 1) >> 16) + 1;
    DCHECK_EQ(mid & 0xFFFF, mid);
    sink->push_back(static_cast<char>(mid >> 8));
    if ((mid & 0xFF) != 0) {
      sink->push_back(static_cast<char>(mid >> 0));
    }
  }

  base_ = 0;
  size_minus1_ = std::numeric_limits<uint32>::max();
  delay_ = 0;
}

RangeDecoder::RangeDecoder(const string& source, int precision)
    : current_(source.begin()),
      begin_(source.begin()),
      end_(source.end()),
      precision_(precision) {
  CHECK_LE(precision, 16);

  Read16BitValue();
  Read16BitValue();
}

int32 RangeDecoder::Decode(tensorflow::gtl::ArraySlice<int32> cdf) {
  const uint64 size = static_cast<uint64>(size_minus1_) + 1;
  const uint64 offset =
      ((static_cast<uint64>(value_ - base_) + 1) << precision_) - 1;

  // This is similar to std::lower_range() with std::less_equal as comparison.
  // After the binary search, `pv` points to the smallest number v that
  // satisfies offset < (size * v) / 2^precision.

  // Assumes that cdf[0] == 0. Therefore (size * cdf[0]) / 2^precision is always
  // less than or equal to offset.
  const int32* pv = cdf.data() + 1;
  // `len` can be cdf.size() - 2 if there is guarantee that the last element of
  // cdf is 2^precision.
  auto len = cdf.size() - 1;
  DCHECK_GT(len, 0);

  do {
    const auto half = len / 2;
    const int32* mid = pv + half;
    DCHECK_GE(*mid, 0);
    DCHECK_LE(*mid, 1 << precision_);
    if (size * static_cast<uint64>(*mid) <= offset) {
      pv = mid + 1;
      len -= half + 1;
    } else {
      len = half;
    }
  } while (len > 0);

  // If (size * v) / 2^precision <= offset for all v in cdf, then pv points to
  // one after the last element of cdf. That is a decoding error.
  //
  // TODO(sjhwang): Consider returning -1 to indicate error. Or start len =
  // cdf.size() - 2 instead and give up detecting this error.
  CHECK_LT(pv, cdf.data() + cdf.size());

  const uint32 a = (size * static_cast<uint64>(*(pv - 1))) >> precision_;
  const uint32 b = ((size * static_cast<uint64>(*pv)) >> precision_) - 1;
  DCHECK_LE(a, offset >> precision_);
  DCHECK_LE(offset >> precision_, b);

  base_ += a;
  size_minus1_ = b - a;

  if (size_minus1_ >> 16 == 0) {
    base_ <<= 16;
    size_minus1_ <<= 16;
    size_minus1_ |= 0xFFFF;

    Read16BitValue();
  }

  return pv - cdf.data() - 1;
}

void RangeDecoder::Read16BitValue() {
  value_ <<= 8;
  if (current_ != end_) {
    value_ |= static_cast<uint8>(*current_++);
  }
  value_ <<= 8;
  if (current_ != end_) {
    value_ |= static_cast<uint8>(*current_++);
  }
}
}  // namespace tensorflow