Searched refs:bias (Results 1 - 25 of 382) sorted by relevance

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/external/elfutils/libdwfl/
H A Ddwfl_addrdie.c32 dwfl_addrdie (Dwfl *dwfl, Dwarf_Addr addr, Dwarf_Addr *bias) argument
35 addr, bias);
H A Ddwfl_addrdwarf.c32 dwfl_addrdwarf (Dwfl *dwfl, Dwarf_Addr address, Dwarf_Addr *bias) argument
35 bias);
H A Ddwfl_module_eh_cfi.c33 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);
H A Ddwfl_dwarf_line.c33 dwfl_dwarf_line (Dwfl_Line *line, Dwarf_Addr *bias) argument
41 *bias = dwfl_adjusted_dwarf_addr (cu->mod, 0);
H A Ddwfl_module_addrdie.c32 dwfl_module_addrdie (Dwfl_Module *mod, Dwarf_Addr addr, Dwarf_Addr *bias) argument
34 if (INTUSE(dwfl_module_getdwarf) (mod, bias) == NULL)
H A Ddwfl_module_nextcu.c32 dwfl_module_nextcu (Dwfl_Module *mod, Dwarf_Die *lastcu, Dwarf_Addr *bias) argument
34 if (INTUSE(dwfl_module_getdwarf) (mod, bias) == NULL)
H A Ddwfl_getdwarf.c44 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);
H A Ddwfl_module_dwarf_cfi.c54 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)));
H A Ddwfl_nextcu.c32 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))
H A Ddwfl_report_elf.c59 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
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/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/
H A Dutils.h27 float LeftProbability(const Tensor& point, const Tensor& weight, float bias,
31 const Tensor& weight, float bias, int num_features,
H A Dutils.cc28 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
/external/tensorflow/tensorflow/core/kernels/
H A Dbias_op.h29 // 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
H A Dquantized_bias_add_op.cc16 // 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);
/external/tensorflow/tensorflow/compiler/tests/
H A Dlrn_ops_test.py41 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
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/external/libvpx/libvpx/vpx_ports/
H A Dasmdefs_mmi.h33 #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"
/external/skia/src/gpu/effects/
H A DGrMatrixConvolutionEffect.h24 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
/external/skqp/src/gpu/effects/
H A DGrMatrixConvolutionEffect.h24 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
/external/deqp/modules/gles2/accuracy/
H A Des2aVaryingInterpolationTests.cpp64 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
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/external/deqp/modules/gles3/accuracy/
H A Des3aVaryingInterpolationTests.cpp66 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
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/external/tensorflow/tensorflow/python/kernel_tests/
H A Dbias_op_test.py48 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
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/external/python/cpython2/Lib/encodings/
H A Dpunycode.py72 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
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/external/python/cpython3/Lib/encodings/
H A Dpunycode.py70 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
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/external/tensorflow/tensorflow/contrib/lite/kernels/
H A Dfully_connected.cc89 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
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H A Ddepthwise_conv.cc88 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
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