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Allocate single memory in GetHuffBitLengthsAndCodes.
Allocate big chunk of memory in GetHuffBitLengthsAndCodes, instead of allocating in a loop. Also fixed the potential memleak. Change-Id: Idc23ffa306f76100217304444191a8d2fef9c44a
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parent
2924a5aee6
commit
41d8049451
116
src/enc/vp8l.c
116
src/enc/vp8l.c
@ -271,21 +271,51 @@ static int GetHuffBitLengthsAndCodes(
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uint16_t** const bit_codes, uint8_t** const bit_lengths) {
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uint16_t** const bit_codes, uint8_t** const bit_lengths) {
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int i, k;
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int i, k;
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int ok = 1;
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int ok = 1;
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int total_length_size = 0;
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uint8_t* mem_buf = NULL;
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const int histogram_image_size = histogram_image->size;
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const int histogram_image_size = histogram_image->size;
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// Iterate over all histograms and get the aggregate number of codes used.
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for (i = 0; i < histogram_image_size; ++i) {
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for (i = 0; i < histogram_image_size; ++i) {
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VP8LHistogram* const histo = histogram_image->histograms[i];
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VP8LHistogram* const histo = histogram_image->histograms[i];
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const int num_literals = VP8LHistogramNumCodes(histo);
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const int num_literals = VP8LHistogramNumCodes(histo);
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k = 0;
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k = 0;
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// TODO(vikasa): Alloc one big buffer instead of allocating in the loop.
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bit_length_sizes[5 * i] = num_literals;
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bit_length_sizes[5 * i] = num_literals;
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bit_lengths[5 * i] = (uint8_t*)calloc(num_literals, 1);
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total_length_size += num_literals;
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bit_codes[5 * i] = (uint16_t*)
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for (k = 1; k < 5; ++k) {
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malloc(num_literals * sizeof(*bit_codes[5 * i]));
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const int val = (k == 4) ? DISTANCE_CODES_MAX : 256;
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if (bit_lengths[5 * i] == NULL || bit_codes[5 * i] == NULL) {
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bit_length_sizes[5 * i + k] = val;
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ok = 0;
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total_length_size += val;
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goto Error;
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}
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}
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}
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// Allocate and Set bit_lengths and bit_codes.
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{
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uint16_t* codes;
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uint8_t* lengths;
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const size_t total_buf_size = total_length_size * sizeof(*lengths)
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+ total_length_size * sizeof(*codes);
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mem_buf = (uint8_t*)calloc(total_buf_size, 1);
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if (mem_buf == NULL) {
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ok = 0;
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goto End;
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}
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codes = (uint16_t*)mem_buf;
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lengths = (uint8_t*)&codes[total_length_size];
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for (i = 0; i < 5 * histogram_image_size; ++i) {
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const int bit_length = bit_length_sizes[i];
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bit_codes[i] = codes;
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bit_lengths[i] = lengths;
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codes += bit_length;
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lengths += bit_length;
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}
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}
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// Create Huffman trees.
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for (i = 0; i < histogram_image_size; ++i) {
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const int ix = 5 * i;
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VP8LHistogram* const histo = histogram_image->histograms[i];
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const int num_literals = bit_length_sizes[ix];
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// For each component, optimize histogram for Huffman with RLE compression.
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// For each component, optimize histogram for Huffman with RLE compression.
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ok = ok && OptimizeHuffmanForRle(num_literals, histo->literal_);
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ok = ok && OptimizeHuffmanForRle(num_literals, histo->literal_);
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if (!use_color_cache) {
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if (!use_color_cache) {
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@ -295,54 +325,37 @@ static int GetHuffBitLengthsAndCodes(
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// palette entry, so zero it out.
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// palette entry, so zero it out.
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histo->literal_[256 + kLengthCodes] = 0;
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histo->literal_[256 + kLengthCodes] = 0;
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}
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}
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ok = ok && OptimizeHuffmanForRle(256, histo->red_);
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ok = ok && OptimizeHuffmanForRle(256, histo->blue_);
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ok = ok && OptimizeHuffmanForRle(256, histo->alpha_);
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ok = ok && OptimizeHuffmanForRle(DISTANCE_CODES_MAX, histo->distance_);
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// Create a Huffman tree (in the form of bit lengths) for each component.
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// Create a Huffman tree (in the form of bit lengths) for each component.
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ok = ok && VP8LCreateHuffmanTree(histo->literal_, num_literals,
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ok = ok && VP8LCreateHuffmanTree(histo->literal_, num_literals, 15,
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15, bit_lengths[5 * i]);
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bit_lengths[ix]);
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for (k = 1; k < 5; ++k) {
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const int val = (k == 4) ? DISTANCE_CODES_MAX : 256;
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ok = ok && OptimizeHuffmanForRle(256, histo->red_);
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bit_length_sizes[5 * i + k] = val;
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ok = ok && VP8LCreateHuffmanTree(histo->red_, 256, 15,
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bit_lengths[5 * i + k] = (uint8_t*)calloc(val, 1);
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bit_lengths[ix + 1]);
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bit_codes[5 * i + k] = (uint16_t*)calloc(val, sizeof(*bit_codes[0]));
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if (bit_lengths[5 * i + k] == NULL ||
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ok = ok && OptimizeHuffmanForRle(256, histo->blue_);
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bit_codes[5 * i + k] == NULL) {
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ok = ok && VP8LCreateHuffmanTree(histo->blue_, 256, 15,
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ok = 0;
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bit_lengths[ix + 2]);
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goto Error;
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}
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ok = ok && OptimizeHuffmanForRle(256, histo->alpha_);
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}
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ok = ok && VP8LCreateHuffmanTree(histo->alpha_, 256, 15,
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ok = ok &&
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bit_lengths[ix + 3]);
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VP8LCreateHuffmanTree(histo->red_, 256, 15,
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bit_lengths[5 * i + 1]) &&
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ok = ok && OptimizeHuffmanForRle(DISTANCE_CODES_MAX, histo->distance_);
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VP8LCreateHuffmanTree(histo->blue_, 256, 15,
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ok = ok && VP8LCreateHuffmanTree(histo->distance_, DISTANCE_CODES_MAX, 15,
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bit_lengths[5 * i + 2]) &&
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bit_lengths[ix + 4]);
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VP8LCreateHuffmanTree(histo->alpha_, 256, 15,
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bit_lengths[5 * i + 3]) &&
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VP8LCreateHuffmanTree(histo->distance_, DISTANCE_CODES_MAX, 15,
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bit_lengths[5 * i + 4]);
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// Create the actual bit codes for the bit lengths.
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// Create the actual bit codes for the bit lengths.
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for (k = 0; k < 5; ++k) {
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for (k = 0; k < 5; ++k) {
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int ix = 5 * i + k;
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VP8LConvertBitDepthsToSymbols(bit_lengths[ix + k],
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VP8LConvertBitDepthsToSymbols(bit_lengths[ix], bit_length_sizes[ix],
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bit_length_sizes[ix + k],
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bit_codes[ix]);
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bit_codes[ix + k]);
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}
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}
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}
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}
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return ok;
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Error:
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End:
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{
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if (!ok) free(mem_buf);
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int idx;
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return ok;
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for (idx = 0; idx <= 5 * i + k; ++idx) {
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free(bit_lengths[idx]);
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free(bit_codes[idx]);
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bit_lengths[idx] = NULL;
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bit_codes[idx] = NULL;
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}
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}
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return 0;
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}
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}
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static void ClearHuffmanTreeIfOnlyOneSymbol(const int num_symbols,
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static void ClearHuffmanTreeIfOnlyOneSymbol(const int num_symbols,
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@ -688,12 +701,9 @@ static int EncodeImageInternal(VP8LBitWriter* const bw,
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if (!ok) free(histogram_image);
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if (!ok) free(histogram_image);
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VP8LClearBackwardRefs(&refs);
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VP8LClearBackwardRefs(&refs);
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for (i = 0; i < bit_array_size; ++i) {
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free(bit_lengths[i]);
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free(bit_codes[i]);
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}
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free(bit_lengths_sizes);
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free(bit_lengths_sizes);
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free(bit_lengths);
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free(bit_lengths);
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free(*bit_codes);
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free(bit_codes);
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free(bit_codes);
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free(histogram_symbols);
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free(histogram_symbols);
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return ok;
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return ok;
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