/external/elfutils/libdwfl/ |
H A D | dwfl_addrdie.c | 32 dwfl_addrdie (Dwfl *dwfl, Dwarf_Addr addr, Dwarf_Addr *bias) argument 35 addr, bias);
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H A D | dwfl_addrdwarf.c | 32 dwfl_addrdwarf (Dwfl *dwfl, Dwarf_Addr address, Dwarf_Addr *bias) argument 35 bias);
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H A D | dwfl_module_eh_cfi.c | 33 dwfl_module_eh_cfi (Dwfl_Module *mod, Dwarf_Addr *bias) argument 40 *bias = dwfl_adjusted_address (mod, 0); 51 *bias = dwfl_adjusted_address (mod, 0);
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H A D | dwfl_dwarf_line.c | 33 dwfl_dwarf_line (Dwfl_Line *line, Dwarf_Addr *bias) argument 41 *bias = dwfl_adjusted_dwarf_addr (cu->mod, 0);
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H A D | dwfl_module_addrdie.c | 32 dwfl_module_addrdie (Dwfl_Module *mod, Dwarf_Addr addr, Dwarf_Addr *bias) argument 34 if (INTUSE(dwfl_module_getdwarf) (mod, bias) == NULL)
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H A D | dwfl_module_nextcu.c | 32 dwfl_module_nextcu (Dwfl_Module *mod, Dwarf_Die *lastcu, Dwarf_Addr *bias) argument 34 if (INTUSE(dwfl_module_getdwarf) (mod, bias) == NULL)
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H A D | dwfl_getdwarf.c | 44 Dwarf_Addr bias = 0; local 45 Dwarf *dw = INTUSE(dwfl_module_getdwarf) (mod, &bias); 46 return (*info->callback) (mod, userdata, name, start, dw, bias, info->arg);
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H A D | dwfl_module_dwarf_cfi.c | 54 dwfl_module_dwarf_cfi (Dwfl_Module *mod, Dwarf_Addr *bias) argument 61 *bias = dwfl_adjusted_dwarf_addr (mod, 0); 67 (INTUSE(dwfl_module_getdwarf) (mod, bias)));
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H A D | dwfl_nextcu.c | 32 dwfl_nextcu (Dwfl *dwfl, Dwarf_Die *lastcu, Dwarf_Addr *bias) argument 57 *bias = dwfl_adjusted_dwarf_addr (mod, 0); 71 || INTUSE(dwfl_module_getdwarf) (mod, bias) != NULL))
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H A D | dwfl_report_elf.c | 59 GElf_Addr start = 0, end = 0, bias = 0; local 86 || (bias == 0 && end > start && end != next)) 139 if (first || bias > shdr->sh_addr) 141 bias = shdr->sh_addr; 143 if ((shdr->sh_addr - bias + base) & (align - 1)) 148 + (bias & (align - 1))); 155 if (bias != 0) 159 Now just compute the bias from the requested base. */ 161 end = end - bias + start; 162 bias 243 GElf_Addr vaddr, address_sync, start, end, bias; local [all...] |
/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/ |
H A D | utils.h | 27 float LeftProbability(const Tensor& point, const Tensor& weight, float bias, 31 const Tensor& weight, float bias, int num_features,
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H A D | utils.cc | 28 float LeftProbability(const Tensor& point, const Tensor& weight, float bias, argument 39 return 1.0 / (1.0 + exp(-dot_product + bias)); 43 const Tensor& weight, float bias, int num_features, 57 return 1.0 / (1.0 + exp(-dot_product + bias)); 42 LeftProbabilityK(const Tensor& point, std::vector<int32> feature_set, const Tensor& weight, float bias, int num_features, int k) argument
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/external/tensorflow/tensorflow/core/kernels/ |
H A D | bias_op.h | 29 // Add "bias" to "input", broadcasting it on all dimensions but the last one. 31 typename TTypes<T>::ConstVec bias, 34 const int64_t bias_size = bias.dimension(0); 39 input.reshape(one_d) + bias.broadcast(bcast).reshape(one_d); 41 const int bias_size = bias.dimension(0); 47 To32Bit(bias).broadcast(bcast).reshape(one_d); 30 operator ()(const Device& d, typename TTypes<T, Dims>::ConstTensor input, typename TTypes<T>::ConstVec bias, typename TTypes<T, Dims>::Tensor output) argument
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H A D | quantized_bias_add_op.cc | 16 // Implements a quantized eight-bit version of the bias addition operation. 40 const Tensor& bias = context->input(1); variable 49 OP_REQUIRES(context, TensorShapeUtils::IsVector(bias.shape()), 51 bias.shape().DebugString())); 54 context, bias.shape().dim_size(0) == input.shape().dim_size(last_dim), 58 bias.shape().DebugString(), " vs. ", input.shape().DebugString())); 70 auto bias_ui8_array = bias.flat<quint8>(); 81 input_max, bias, bias_min, bias_max, output, &total_min, &total_max);
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/external/tensorflow/tensorflow/compiler/tests/ |
H A D | lrn_ops_test.py | 41 def _LRN(self, input_image, lrn_depth_radius=5, bias=1.0, alpha=1.0, 57 np.power(bias + alpha * np.sum(patch * patch), beta)) 67 # random depth_radius, bias, alpha, beta 69 bias = 1.0 + np.random.rand() 77 bias=bias, 85 bias=bias, 89 print("LRN error for bias ", bias, "alph [all...] |
/external/libvpx/libvpx/vpx_ports/ |
H A D | asmdefs_mmi.h | 33 #define MMI_L(reg, addr, bias) \ 34 "ld " #reg ", " #bias "(" #addr ") \n\t" 62 #define MMI_L(reg, addr, bias) \ 63 "lw " #reg ", " #bias "(" #addr ") \n\t"
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/external/skia/src/gpu/effects/ |
H A D | GrMatrixConvolutionEffect.h | 24 SkScalar bias, 30 bias, kernelOffset, tileMode, convolveAlpha)); 37 SkScalar bias, 49 float bias() const { return fBias; } function in class:GrMatrixConvolutionEffect 63 SkScalar bias, 19 Make(sk_sp<GrTextureProxy> proxy, const SkIRect& bounds, const SkISize& kernelSize, const SkScalar* kernel, SkScalar gain, SkScalar bias, const SkIPoint& kernelOffset, GrTextureDomain::Mode tileMode, bool convolveAlpha) argument
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/external/skqp/src/gpu/effects/ |
H A D | GrMatrixConvolutionEffect.h | 24 SkScalar bias, 30 bias, kernelOffset, tileMode, convolveAlpha)); 37 SkScalar bias, 49 float bias() const { return fBias; } function in class:GrMatrixConvolutionEffect 63 SkScalar bias, 19 Make(sk_sp<GrTextureProxy> proxy, const SkIRect& bounds, const SkISize& kernelSize, const SkScalar* kernel, SkScalar gain, SkScalar bias, const SkIPoint& kernelOffset, GrTextureDomain::Mode tileMode, bool convolveAlpha) argument
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/external/deqp/modules/gles2/accuracy/ |
H A D | es2aVaryingInterpolationTests.cpp | 64 static void renderReference (const SurfaceAccess& dst, const float coords[4*3], const Vec4& wCoord, const Vec3& scale, const Vec3& bias) argument 87 float r = projectedTriInterpolate(triR[triNdx], triW[triNdx], triNx, triNy) * scale[0] + bias[0]; 88 float g = projectedTriInterpolate(triG[triNdx], triW[triNdx], triNx, triNy) * scale[1] + bias[1]; 89 float b = projectedTriInterpolate(triB[triNdx], triW[triNdx], triNx, triNy) * scale[2] + bias[2]; 213 tcu::Vec3 bias = -1.0f*m_min*scale; local 216 (0.0f - bias[0])/scale[0], (0.5f - bias[1])/scale[1], (1.0f - bias[2])/scale[2], 217 (0.5f - bias[0])/scale[0], (1.0f - bias[ 264 renderReference(SurfaceAccess(reference, m_context.getRenderTarget().getPixelFormat()), coords, wCoord, scale, bias); local [all...] |
/external/deqp/modules/gles3/accuracy/ |
H A D | es3aVaryingInterpolationTests.cpp | 66 static void renderReference (const SurfaceAccess& dst, const float coords[4*3], const Vec4& wCoord, const Vec3& scale, const Vec3& bias) argument 89 float r = projectedTriInterpolate(triR[triNdx], triW[triNdx], triNx, triNy) * scale[0] + bias[0]; 90 float g = projectedTriInterpolate(triG[triNdx], triW[triNdx], triNx, triNy) * scale[1] + bias[1]; 91 float b = projectedTriInterpolate(triB[triNdx], triW[triNdx], triNx, triNy) * scale[2] + bias[2]; 219 tcu::Vec3 bias = -1.0f*m_min*scale; local 222 (0.0f - bias[0])/scale[0], (0.5f - bias[1])/scale[1], (1.0f - bias[2])/scale[2], 223 (0.5f - bias[0])/scale[0], (1.0f - bias[ 270 renderReference(SurfaceAccess(reference, m_context.getRenderTarget().getPixelFormat()), coords, wCoord, scale, bias); local [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
H A D | bias_op_test.py | 48 def _npBias(self, inputs, bias): 49 assert len(bias.shape) == 1 51 print(bias.shape) 52 assert inputs.shape[-1] == bias.shape[0] 53 return inputs + bias.reshape(([1] * (len(inputs.shape) - 1)) + 54 [bias.shape[0]]) 135 def _testGradient(self, np_input, bias, dtype, data_format, use_gpu): 141 bias_tensor = constant_op.constant(bias, shape=bias.shape, dtype=dtype) 147 bias_tensor, bias [all...] |
/external/python/cpython2/Lib/encodings/ |
H A D | punycode.py | 72 def T(j, bias): 74 res = 36 * (j + 1) - bias 80 def generate_generalized_integer(N, bias): 85 t = T(j, bias) 104 bias = divisions + (36 * delta // (delta + 38)) 105 return bias 110 # Punycode parameters: initial bias = 72, damp = 700, skew = 38 112 bias = 72 114 s = generate_generalized_integer(delta, bias) 116 bias [all...] |
/external/python/cpython3/Lib/encodings/ |
H A D | punycode.py | 70 def T(j, bias): 72 res = 36 * (j + 1) - bias 78 def generate_generalized_integer(N, bias): 83 t = T(j, bias) 102 bias = divisions + (36 * delta // (delta + 38)) 103 return bias 108 # Punycode parameters: initial bias = 72, damp = 700, skew = 38 110 bias = 72 112 s = generate_generalized_integer(delta, bias) 114 bias [all...] |
/external/tensorflow/tensorflow/contrib/lite/kernels/ |
H A D | fully_connected.cc | 89 TfLiteTensor* bias = GetOptionalInputTensor(context, node, kBiasTensor); local 103 if (bias) { 104 TF_LITE_ASSERT_EQ(bias->dims->data[0], num_units); 108 TF_LITE_ENSURE_EQ(context, NumDimensions(bias), 1); 116 context, input, filter, bias, output, &real_multiplier)); 136 TfLiteTensor* bias, TfLiteTensor* output) { 146 // Output = bias if bias tensor exists. 147 if (bias) { 148 tensor_utils::VectorBatchVectorAssign(bias 133 EvalPie(TfLiteContext* context, TfLiteNode* node, TfLiteFullyConnectedParams* params, OpData* data, TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias, TfLiteTensor* output) argument 178 EvalQuantized(TfLiteContext* context, TfLiteNode* node, TfLiteFullyConnectedParams* params, OpData* data, TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias, TfLiteTensor* output) argument 210 EvalFloat(TfLiteContext* context, TfLiteNode* node, TfLiteFullyConnectedParams* params, OpData* data, TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias, TfLiteTensor* output) argument 245 TfLiteTensor* bias = GetOptionalInputTensor(context, node, kBiasTensor); local [all...] |
H A D | depthwise_conv.cc | 88 TfLiteTensor* bias = nullptr; local 109 bias = GetInput(context, node, kBiasTensor); 111 TF_LITE_ENSURE_EQ(context, bias->type, kTfLiteInt32); 112 TF_LITE_ENSURE_EQ(context, bias->params.zero_point, 0); 114 TF_LITE_ENSURE_EQ(context, bias->type, data_type); 116 TF_LITE_ENSURE_EQ(context, NumDimensions(bias), 1); 118 SizeOfDimension(bias, 0)); 153 context, input, filter, bias, output, &real_multiplier)); 172 TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias, 190 GetTensorData<float>(bias), GetTensorDim 170 EvalFloat(TfLiteContext* context, TfLiteNode* node, TfLiteDepthwiseConvParams* params, OpData* data, TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias, TfLiteTensor* output) argument 197 EvalQuantized(TfLiteContext* context, TfLiteNode* node, TfLiteDepthwiseConvParams* params, OpData* data, TfLiteTensor* input, TfLiteTensor* filter, TfLiteTensor* bias, TfLiteTensor* output) argument 235 TfLiteTensor* bias = local [all...] |