| /external/elfutils/libdwfl/ |
| dwfl_getdwarf.c | 48 Dwarf_Addr bias = 0; local
49 Dwarf *dw = INTUSE(dwfl_module_getdwarf) (mod, &bias);
50 return (*info->callback) (mod, userdata, name, start, dw, bias, info->arg);
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| dwfl_module_getsrc.c | 39 Dwarf_Addr bias; local
40 if (INTUSE(dwfl_module_getdwarf) (mod, &bias) == NULL)
57 addr -= bias;
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| dwfl_module_getsrc_file.c | 65 Dwarf_Addr bias; local
66 if (INTUSE(dwfl_module_getdwarf) (mod, &bias) == NULL)
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| /external/libaom/libaom/av1/encoder/ |
| ml.h | 32 // Bias parameters, indexed by layer.
33 const float *bias[NN_MAX_HIDDEN_LAYERS + 1]; member in struct:NN_CONFIG
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| /bionic/libm/x86_64/ |
| e_exp.S | 50 // value of 2 is safely computed as 2 * 2 where n1 in [-BIAS/2..BIAS/2]
51 // where BIAS is a value of exponent bias.
105 movdqa bias(%rip), %xmm6
302 bias: label
307 .type bias,@object
308 .size bias,16
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| s_expm1.S | 61 // value of 2 is safely computed as 2 * 2 where n1 in [-BIAS/2..BIAS/2]
62 // and BIAS is a value of exponent bias.
127 movdqa bias(%rip), %xmm6
653 bias: label
658 .type bias,@object
659 .size bias,16
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| /device/google/contexthub/firmware/os/algos/calibration/sphere_fit/ |
| calibration_data.h | 19 * a three-axis sensor calibration. The calibration consists of a bias vector,
20 * bias, and a lower-diagonal scaling and skew matrix, scale_skew_mat.
24 * corrected_data = scale_skew_mat * (impaired_data - bias).
52 // Sensor bias offset.
53 float bias[THREE_AXIS_DIM]; member in struct:ThreeAxisCalData
60 // zero bias.
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| /external/elfutils/tests/ |
| dwfl-addr-sect.c | 37 Dwarf_Addr bias; local
38 Elf_Scn *scn = dwfl_module_address_section (mod, &adjusted, &bias);
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| dwfl-bug-fd-leak.c | 67 Dwarf_Addr bias; local
68 Dwarf *dbg = dwfl_addrdwarf (dwfl, address, &bias);
81 Elf *elf = dwfl_module_getelf (module, &bias);
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| /external/libopus/src/ |
| mlp.h | 37 const opus_int8 *bias; member in struct:__anon29285
45 const opus_int8 *bias; member in struct:__anon29286
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| /external/libtextclassifier/lang_id/common/flatbuffers/ |
| embedding-network-params-from-flatbuffer.h | 115 const saft_fbs::Matrix *bias = SafeGetLayerBias(i); variable
116 return SafeGetNumRows(bias);
120 const saft_fbs::Matrix *bias = SafeGetLayerBias(i); variable
121 return SafeGetNumCols(bias);
125 const saft_fbs::Matrix *bias = SafeGetLayerBias(i); variable
126 return SafeGetValues(bias);
154 const saft_fbs::Matrix *bias = SafeGetSoftmaxBias(); variable
155 return SafeGetNumRows(bias);
159 const saft_fbs::Matrix *bias = SafeGetSoftmaxBias(); variable
160 return SafeGetNumCols(bias);
164 const saft_fbs::Matrix *bias = SafeGetSoftmaxBias(); variable
[all...] |
| /external/mesa3d/src/util/ |
| format_srgb.h | 85 unsigned tab, bias, scale, t; local
100 /* Do the table lookup and unpack bias, scale */
103 bias = (tab >> 16) << 9;
108 return (uint8_t) ((bias + scale*t) >> 16);
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| /external/skia/bench/ |
| MatrixConvolutionBench.cpp | 35 SkScalar gain = 0.3f, bias = SkIntToScalar(100); local
37 fFilter = SkMatrixConvolutionImageFilter::Make(kernelSize, kernel, gain, bias,
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| /external/skia/gm/ |
| imagefiltersgraph.cpp | 124 SkScalar gain = 1.0f, bias = SkIntToScalar(0); variable
131 bias,
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| matrixconvolution.cpp | 60 SkScalar gain = 0.3f, bias = SkIntToScalar(100); local
65 bias,
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| /external/skia/src/gpu/gradients/ |
| GrSweepGradientLayout.h | 22 float bias() const { return fBias; } function in class:GrSweepGradientLayout
32 GrSweepGradientLayout(SkMatrix44 gradientMatrix, float bias, float scale)
36 , fBias(bias)
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| /external/skqp/bench/ |
| MatrixConvolutionBench.cpp | 35 SkScalar gain = 0.3f, bias = SkIntToScalar(100); local
37 fFilter = SkMatrixConvolutionImageFilter::Make(kernelSize, kernel, gain, bias,
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| /external/skqp/gm/ |
| imagefiltersgraph.cpp | 124 SkScalar gain = 1.0f, bias = SkIntToScalar(0); variable
131 bias,
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| matrixconvolution.cpp | 60 SkScalar gain = 0.3f, bias = SkIntToScalar(100); local
65 bias,
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| /external/skqp/src/gpu/gradients/ |
| GrSweepGradientLayout.h | 22 float bias() const { return fBias; } function in class:GrSweepGradientLayout
32 GrSweepGradientLayout(SkMatrix44 gradientMatrix, float bias, float scale)
36 , fBias(bias)
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| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| identify_lstm_split_inputs.cc | 47 // that are able to be split into smaller weight and bias tensors.
134 // Get original bias tensor and decompose 1 tensor to 4 sub tensors
135 Array& bias = local
138 base_name + "bias_i", num_cell, 1, bias, 0, 0);
140 base_name + "bias_c", num_cell, 1, bias, num_cell, 0);
142 base_name + "bias_f", num_cell, 1, bias, num_cell * 2, 0);
144 base_name + "bias_o", num_cell, 1, bias, num_cell * 3, 0);
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| /external/libjpeg-turbo/simd/loongson/ |
| jcsample-mmi.c | 42 int inrow, outrow, outcol, bias; local
50 bias = (1 << 17) + 1; /* 0x00020001 (bias pattern) */
51 mm7 = _mm_set1_pi32(bias); /* mm7={1, 2, 1, 2} */
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| /external/libvpx/libvpx/vp9/encoder/ |
| vp9_picklpf.c | 99 // Bias against raising loop filter in favor of lowering it.
100 int64_t bias = (best_err >> (15 - (filt_mid / 8))) * filter_step; local
103 bias = (bias * cpi->twopass.section_intra_rating) / 20;
105 // yx, bias less for large block size
106 if (cm->tx_mode != ONLY_4X4) bias >>= 1;
113 // If value is close to the best so far then bias towards a lower loop
115 if ((ss_err[filt_low] - bias) < best_err) {
129 if (ss_err[filt_high] < (best_err - bias)) {
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| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| input_data.cc | 26 float bias = test.threshold().float_value(); local
29 return value <= bias;
32 return value < bias;
35 return value >= bias;
38 return value > bias;
123 float* bias, int* type) const {
154 *bias = GetExampleValue(example, *feature_id);
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| split_collection_operators.cc | 116 float bias; local
119 input_data->RandomSample(example, &feature_id, &bias, &type);
125 test->mutable_threshold()->set_float_value(bias);
130 test.add_value()->set_float_value(bias);
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