/external/tensorflow/tensorflow/lite/kernels/internal/ |
tensor_utils_test.cc | 125 constexpr int kRow = 3; 128 static float matrix[kRow * kCol] = {1.0, 2.0, 3.0, 4.0, // 133 std::vector<float> output(kRow * kBatch); 135 MatrixBatchVectorMultiplyAccumulate(matrix, kRow, kCol, vector, kBatch, 140 std::vector<float> output_with_stride2(kRow * kBatch * 2); 142 MatrixBatchVectorMultiplyAccumulate(matrix, kRow, kCol, vector, kBatch, 480 const int kRow = 4; 484 float matrix[kRow * kCol] = { 543 std::vector<float> dense_output(kRow * kBatch, 0.0); 544 MatrixBatchVectorMultiplyAccumulate(matrix, kRow, kCol, vector, kBatch [all...] |
/external/skia/tools/bookmaker/ |
bookmaker.h | 145 kRow,
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spellCheck.cpp | 48 kRow, 271 case MarkType::kRow: 353 case MarkType::kRow:
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mdOut.cpp | [all...] |
mdOut.h | 40 kRow,
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bmhParser.cpp | 83 , { "", MarkType::kRow, R_Y, E_N, M(Table) | M(List) } [all...] |
includeWriter.cpp | 217 SkASSERT(MarkType::kRow == row->fMarkType); [all...] |
/external/skqp/tools/bookmaker/ |
bookmaker.h | 145 kRow,
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spellCheck.cpp | 48 kRow, 271 case MarkType::kRow: 353 case MarkType::kRow:
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mdOut.cpp | [all...] |
mdOut.h | 40 kRow,
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bmhParser.cpp | 83 , { "", MarkType::kRow, R_Y, E_N, M(Table) | M(List) } [all...] |
includeWriter.cpp | 217 SkASSERT(MarkType::kRow == row->fMarkType); [all...] |
/external/perfetto/src/trace_processor/ |
span_join_operator_table.h | 133 kRow, 140 bool is_row() const { return code == Code::kRow; }
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span_join_operator_table.cc | 548 return StepRet(StepRet::Code::kRow); 562 return StepRet(StepRet::Code::kRow); 573 return StepRet(StepRet::Code::kRow); 586 return StepRet(StepRet::Code::kRow); 598 return StepRet(StepRet::Code::kRow);
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