/external/tensorflow/tensorflow/contrib/lite/kernels/ |
exp.cc | 53 template <KernelType kernel_type> 57 #define TF_LITE_EXP(kernel_type, data_type) \ 58 kernel_type::Exp<data_type>(GetTensorData<data_type>(op_context.input), \ 63 if (kernel_type == kReference) {
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pad.cc | 97 template <KernelType kernel_type> 130 if (kernel_type == kReference) { 132 } else if (kernel_type == kGenericOptimized) { 137 if (kernel_type == kReference) { 139 } else if (kernel_type == kGenericOptimized) { 144 if (kernel_type == kReference) { 146 } else if (kernel_type == kGenericOptimized) { 151 if (kernel_type == kReference) { 153 } else if (kernel_type == kGenericOptimized) {
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pooling.cc | 122 template <KernelType kernel_type> 135 if (kernel_type == kReference) { 143 template <KernelType kernel_type> 158 if (kernel_type == kReference) { 166 template <KernelType kernel_type> 179 if (kernel_type == kReference) { 187 template <KernelType kernel_type> 202 if (kernel_type == kReference) { 210 template <KernelType kernel_type> 223 if (kernel_type == kReference) [all...] |
l2norm.cc | 60 template <KernelType kernel_type> 71 if (kernel_type == kReference) { 74 if (kernel_type == kGenericOptimized) {
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div.cc | 61 template <KernelType kernel_type> 73 if (kernel_type == kReference) { 81 template <KernelType kernel_type> 90 EvalDivFloat<kernel_type>(context, node, params, input1, input2, output);
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sub.cc | 61 template <KernelType kernel_type> 73 if (kernel_type == kReference) { 81 template <KernelType kernel_type> 90 EvalSubFloat<kernel_type>(context, node, params, input1, input2, output);
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batch_to_space_nd.cc | 112 template <KernelType kernel_type> 130 if (kernel_type == kReference) { 137 if (kernel_type == kReference) { 144 if (kernel_type == kReference) { 151 if (kernel_type == kReference) {
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space_to_batch_nd.cc | 107 template <KernelType kernel_type> 127 if (kernel_type == kReference) { 134 if (kernel_type == kReference) { 141 if (kernel_type == kReference) { 148 if (kernel_type == kReference) {
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space_to_depth.cc | 74 template <KernelType kernel_type> 88 if (kernel_type == kReference) { 95 if (kernel_type == kReference) { 102 if (kernel_type == kReference) { 109 if (kernel_type == kReference) {
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transpose.cc | 86 template <KernelType kernel_type> 118 if (kernel_type == kReference) { 123 if (kernel_type == kReference) { 128 if (kernel_type == kReference) { 133 if (kernel_type == kReference) {
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add.cc | 80 template <KernelType kernel_type> 93 if (kernel_type == kReference) { 109 template <KernelType kernel_type> 154 if (kernel_type == kReference) { 162 template <KernelType kernel_type> 172 EvalAddFloat<kernel_type>(context, node, params, data, input1, input2, 175 EvalAddQuantized<kernel_type>(context, node, params, data, input1, input2,
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mul.cc | 80 template <KernelType kernel_type> 93 if (kernel_type == kReference) { 109 template <KernelType kernel_type> 139 if (kernel_type == kReference) { 147 template <KernelType kernel_type> 157 EvalFloat<kernel_type>(context, node, params, data, input1, input2, output); 159 EvalQuantized<kernel_type>(context, node, params, data, input1, input2,
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fully_connected.cc | 177 template <KernelType kernel_type> 195 if (kernel_type == kReference) { 197 } else if (kernel_type == kPie) { 209 template <KernelType kernel_type> 223 if (kernel_type == kReference) { 225 } else if (kernel_type == kPie) { 237 template <KernelType kernel_type> 250 return EvalFloat<kernel_type>(context, node, params, data, input, filter, 253 return EvalQuantized<kernel_type>(context, node, params, data, input,
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local_response_norm.cc | 58 template <KernelType kernel_type> 72 if (kernel_type == kReference) { 75 if (kernel_type == kGenericOptimized) {
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resize_bilinear.cc | 76 template <KernelType kernel_type> 97 if (kernel_type == kReference) { 100 if (kernel_type == kGenericOptimized || kernel_type == kNeonOptimized) {
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depthwise_conv.cc | 169 template <KernelType kernel_type> 181 if (kernel_type == kReference) { 196 template <KernelType kernel_type> 209 if (kernel_type == kReference) { 226 template <KernelType kernel_type> 242 EvalFloat<kernel_type>(context, node, params, data, input, filter, bias, 246 EvalQuantized<kernel_type>(context, node, params, data, input, filter,
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concatenation.cc | 99 template <KernelType kernel_type> 120 if (kernel_type == kReference) { 127 if (kernel_type == kReference) {
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strided_slice.cc | 178 template <KernelType kernel_type> 209 #define TF_LITE_STRIDED_SLICE(kernel_type, data_type) \ 210 kernel_type::StridedSlice( \ 219 if (kernel_type == kReference) { 224 if (kernel_type == kReference) { 229 if (kernel_type == kReference) {
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mean.cc | 175 template <KernelType kernel_type> 188 #define TF_LITE_MEAN(kernel_type, data_type) \ 189 kernel_type::Mean<>( \ 198 if (kernel_type == kReference) {
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conv.cc | 290 template <KernelType kernel_type> 302 switch (kernel_type) { 333 template <KernelType kernel_type> 342 switch (kernel_type) { 396 template <KernelType kernel_type> 425 EvalFloat<kernel_type>(context, node, params, data, input, filter, bias, 429 EvalQuantized<kernel_type>(context, node, params, data, input, filter,
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/frameworks/rs/tests/lldb/tests/harness/ |
assert_mixins.py | 33 self, breakpoint_expr, x, y=None, z=None, kernel_type='kernel' 41 kernel_type: The breakpoint resolver to use: 52 kernel_type, breakpoint_expr, coord_text
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/external/syslinux/com32/include/ |
menu.h | 78 enum kernel_type { enum 232 void chainboot_file(const char *file, enum kernel_type type);
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/external/opencv/ml/src/ |
mlsvm.cpp | 170 svm_type(CvSVM::C_SVC), kernel_type(CvSVM::RBF), degree(0), 181 svm_type(_svm_type), kernel_type(_kernel_type), 222 calc_func = params->kernel_type == CvSVM::RBF ? &CvSVMKernel::calc_rbf : 223 params->kernel_type == CvSVM::POLY ? &CvSVMKernel::calc_poly : 224 params->kernel_type == CvSVM::SIGMOID ? &CvSVMKernel::calc_sigmoid : 1209 int kernel_type, svm_type; local 1979 int kernel_type = params.kernel_type; local 2121 int svm_type, kernel_type; local [all...] |
/frameworks/rs/tests/lldb/tests/testcases/ |
test_reduction.py | 268 kernel_type='reduction'
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/external/syslinux/com32/elflink/ldlinux/ |
ldlinux.c | 21 enum kernel_type type;
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