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Searched refs:row_count (Results 1 – 9 of 9) sorted by relevance

/external/pdfium/core/fxcodec/codec/
Dfx_codec_flate.cpp266 const int row_count = (*data_size + row_size - 1) / row_size; in PNG_PredictorEncode() local
268 uint8_t* dest_buf = FX_Alloc2D(uint8_t, row_size + 1, row_count); in PNG_PredictorEncode()
272 for (int row = 0; row < row_count; row++) { in PNG_PredictorEncode()
286 *data_size = (row_size + 1) * row_count - in PNG_PredictorEncode()
366 const int row_count = (data_size + row_size) / (row_size + 1); in PNG_Predictor() local
367 if (row_count <= 0) in PNG_Predictor()
370 uint8_t* dest_buf = FX_Alloc2D(uint8_t, row_size, row_count); in PNG_Predictor()
374 for (int row = 0; row < row_count; row++) { in PNG_Predictor()
446 data_size = row_size * row_count - in PNG_Predictor()
499 const int row_count = (data_size + row_size - 1) / row_size; in TIFF_Predictor() local
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/external/tensorflow/tensorflow/core/kernels/
Dquantized_batch_norm_op.cc47 const int row_count = input_flat.size() / depth; in ReferenceBatchNorm() local
53 for (int row_index = 0; row_index < row_count; ++row_index) { in ReferenceBatchNorm()
110 const int row_count = input_flat.size() / depth; in FixedPointBatchNorm() local
146 for (int row_index = 0; row_index < row_count; ++row_index) { in FixedPointBatchNorm()
Dbias_op.cc505 int32 row_count = batch * channel; in ComputeWithReduceSum() local
509 TensorShape temp_grad_output_shape{row_count, col_count}; in ComputeWithReduceSum()
515 output_backprop.template flat<T>().data(), row_count, col_count); in ComputeWithReduceSum()
517 row_count = batch; in ComputeWithReduceSum()
521 row_count, col_count); in ComputeWithReduceSum()
524 int32 row_count = batch * height * width * depth; in ComputeWithReduceSum() local
529 row_count, col_count); in ComputeWithReduceSum()
Dsparse_fill_empty_rows_op.cc176 const int64 row_count = filled_count(row); in Compute() local
177 if (row_count == 0) { // We haven't filled this row in Compute()
/external/tensorflow/tensorflow/compiler/xla/service/cpu/
Dtiled_dot_emitter.cc478 MemoryTile GetLhsMemoryTile(llvm::Value* row_start, int64 row_count) { in GetLhsMemoryTile() argument
482 /*tile_size_along_major_dim=*/row_count); in GetLhsMemoryTile()
485 void EmitOuterLoopBody(llvm::Value* row, int64 row_count);
504 int64 row_count) { in EmitOuterLoopBody() argument
506 /*row_count=*/row_count); in EmitOuterLoopBody()
509 for (int i = 0; i < row_count; i++) { in EmitOuterLoopBody()
513 EmitInnerLoopTiled(&lhs_memory_tile, /*rows=*/row_count, in EmitOuterLoopBody()
515 EmitInnerLoopEpilogue(/*current_tile_row=*/row, /*rows=*/row_count, in EmitOuterLoopBody()
525 if (row_count == vsl_.vector_size()) { in EmitOuterLoopBody()
537 for (int i = 0; i < row_count; i++) { in EmitOuterLoopBody()
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/external/icu/icu4c/source/test/intltest/
Drestsnew.cpp825 int32_t row_count = kERROR_COUNT, column_count = kERROR_COUNT; in testTag() local
838 row_count=array2d.getSize(); in testTag()
839 CONFIRM_GE(row_count,1); in testTag()
841 for(row=0; row<row_count; ++row){ in testTag()
862 CONFIRM_EQ(row_count,kERROR_COUNT); in testTag()
864 row_count=column_count=0; in testTag()
874 row = row_count ? (randi(row_count * 3) - row_count) : (randi(200) - 100); in testTag()
888 expected_status = (row >= 0 && row < row_count && col >= 0 && col < column_count) ? in testTag()
/external/tensorflow/tensorflow/python/debug/cli/
Dprofile_analyzer_cli.py133 def row_count(self): member in ProfileDataTableView
523 for row in range(profile_data.row_count()):
556 for row in range(profile_data.row_count()):
588 for row in range(profile_data.row_count()):
/external/icu/icu4c/source/test/cintltst/
Dcreststn.c1606 int32_t row_count=0; in testTag() local
1821 row_count = kERROR_COUNT, column_count = kERROR_COUNT; in testTag()
1830 row_count=ures_getSize(array2d); in testTag()
1831 CONFIRM_INT_GE(row_count,1); in testTag()
1833 for(row=0; row<row_count; ++row){ in testTag()
1860 CONFIRM_INT_EQ(row_count,kERROR_COUNT); in testTag()
1862 row_count=column_count=0; in testTag()
1870 row = row_count ? (randi(row_count * 3) - row_count) : (randi(200) - 100); in testTag()
1888 expected_status = (row >= 0 && row < row_count && col >= 0 && col < column_count) ? in testTag()
/external/tensorflow/tensorflow/contrib/ignite/python/ops/
Dignite_dataset_ops.py436 row_count = self.read_int()
438 if row_count == 0: