| /external/libvpx/vpx_dsp/mips/ |
| D | txfm_macros_msa.h | 82 #define MADD_BF(inp0, inp1, inp2, inp3, cst0, cst1, cst2, cst3, out0, out1, \ argument
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| D | inv_txfm_msa.h | 195 #define VP9_MADD(inp0, inp1, inp2, inp3, cst0, cst1, cst2, cst3, out0, out1, \ argument
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| D | intrapred_msa.c | 104 uint8_t inp0, inp1, inp2, inp3; in intra_predict_horiz_16x16_msa() local
127 uint8_t inp0, inp1, inp2, inp3; in intra_predict_horiz_32x32_msa() local
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sparse_matmul_op.cc | 317 const bfloat16** inp3, float** out) { in ScalarMulAdd3Way()
330 const float** inp2, const float** inp3, in ScalarMulAdd3Way()
426 auto inp3 = reinterpret_cast<const float*>(*binp3); in MulAdd3Way() local
459 auto inp3 = reinterpret_cast<const float*>(*binp3); in TwoMulAdd3Way() local
510 const bfloat16** inp2, const bfloat16** inp3, in MulAdd3Way128()
531 const float** inp3, float** out) { in MulAdd3Way()
549 const float** inp2, const float** inp3, in TwoMulAdd3Way()
578 const float** inp2, const float** inp3, in FourMulAdd3Way()
587 const float** inp2, const float** inp3, in MulAdd3Way128()
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| /external/pytorch/test/cpp/jit/ |
| D | test_shape_analysis.cpp | 148 auto inp3 = tensorexpr_graph->inputs().at(2)->type()->expect<TensorType>(); in TEST() local
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| /external/libpng/mips/ |
| D | filter_msa_intrinsics.c | 353 #define CMP_AND_SELECT(inp0, inp1, inp2, inp3, inp4, inp5, out0) \ argument
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| /external/libyuv/source/ |
| D | row_msa.cc | 2029 v16u8 inp0, inp1, inp2, inp3, inp4, inp5; in RGB24ToUVRow_MSA() local
2138 v16u8 inp0, inp1, inp2, inp3, inp4, inp5; in RAWToUVRow_MSA() local
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| /external/libvpx/third_party/libyuv/source/ |
| D | row_msa.cc | 2030 v16u8 inp0, inp1, inp2, inp3, inp4, inp5; in RGB24ToUVRow_MSA() local
2134 v16u8 inp0, inp1, inp2, inp3, inp4, inp5; in RAWToUVRow_MSA() local
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| /external/pytorch/test/dynamo/ |
| D | test_repros.py | 3872 def fn(inp1, inp2, inp3, inp4, c): argument
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