| /external/cronet/net/cert/pki/ |
| D | parse_name.cc | 79 std::string type_string; in AsRFC2253String() local
83 type_string = "CN"; in AsRFC2253String()
85 type_string = "SN"; in AsRFC2253String()
87 type_string = "C"; in AsRFC2253String()
89 type_string = "L"; in AsRFC2253String()
91 type_string = "ST"; in AsRFC2253String()
93 type_string = "O"; in AsRFC2253String()
95 type_string = "OU"; in AsRFC2253String()
97 type_string = "givenName"; in AsRFC2253String()
99 type_string = "emailAddress"; in AsRFC2253String()
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| /external/tensorflow/tensorflow/compiler/tf2xla/ |
| D | xla_context.cc | 87 const string type_string = DataTypeString(type); in GetOrCreateMax() local
88 VLOG(1) << "Building Max() for " << type_string; in GetOrCreateMax()
89 xla::XlaBuilder b("max<" + type_string + ">"); in GetOrCreateMax()
103 const string type_string = DataTypeString(type); in GetOrCreateMin() local
104 VLOG(1) << "Building Min() for " << type_string; in GetOrCreateMin()
105 xla::XlaBuilder b("min<" + type_string + ">"); in GetOrCreateMin()
119 const string type_string = DataTypeString(type); in GetOrCreateAdd() local
120 VLOG(1) << "Building Add() for " << type_string; in GetOrCreateAdd()
121 xla::XlaBuilder b("add<" + type_string + ">"); in GetOrCreateAdd()
135 const string type_string = DataTypeString(type); in GetOrCreateMul() local
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| D | resource_util.cc | 75 const XlaResourceOpInfo* op_info = GetResourceOpInfoForOp(n.type_string()); in IsStackOrTensorArraySource()
89 n.type_string()); in PropagateFromStackOrTensorArraySourceOp()
104 TF_RET_CHECK(n.type_string() == kArgOp); in PropagateFromArgOp()
116 n.type_string()); in PropagateFromArgOp()
217 fbody->graph, n.type_string(), call_depth + 1, resource_arg_indices, in PropagateThroughCallOp()
231 TF_RET_CHECK(n.IsIdentity() || n.type_string() == kIdentityNOp); in PropagateThroughIdentityOp()
277 if (n->type_string() == kIfOp || n->type_string() == kWhileOp) { in AnalyzeResourceUsage()
307 if (n->IsIdentity() || n->type_string() == kIdentityNOp) { in AnalyzeResourceUsage()
314 it.first->dst()->type_string()); in AnalyzeResourceUsage()
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| D | mkl_layout_pass.cc | 1040 << n->type_string() << ", reason: " << reason; in CanOpRunOnCPUDevice()
1088 if (m->type_string() == csinfo_.bias_add) { in GetConv2DOrBiasAdd()
1092 CHECK_EQ(m->type_string(), csinfo_.conv2d); in GetConv2DOrBiasAdd()
1097 e->dst()->type_string() == csinfo_.bias_add && in GetConv2DOrBiasAdd()
1129 if (m->type_string() == csinfo_.pad) { in GetPadOrConv2D()
1132 if (!e->IsControlEdge() && e->dst()->type_string() == csinfo_.conv2d) { in GetPadOrConv2D()
1139 DCHECK_EQ(m->type_string(), csinfo_.conv2d); in GetPadOrConv2D()
1143 if (!e->IsControlEdge() && e->src()->type_string() == csinfo_.pad) { in GetPadOrConv2D()
1178 if (m->type_string() == csinfo_.pad) { in GetPadOrFusedConv2D()
1182 e->dst()->type_string() == csinfo_.fused_conv2d) { in GetPadOrFusedConv2D()
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| D | lower_while_op_test.cc | 135 if (op->type_string() == "LessThanOrEqualToN") { in TEST()
138 if (op->type_string() == "XTimesTwo") { in TEST()
144 ASSERT_NE(op->type_string(), "While"); in TEST()
218 if (consumer->type_string() == "Enter") { in TEST()
229 if (consumer->type_string() == "Merge") { in TEST()
239 if (consumer->type_string() == "NextIteration") { in TEST()
249 if (consumer->type_string() == "Switch") { in TEST()
259 if (consumer->type_string() == "Exit") { in TEST()
339 if (consumer->type_string() == "Enter") { in TEST()
350 if (consumer->type_string() == "Merge") { in TEST()
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| D | mkl_tfconversion_pass.cc | 201 << src->type_string() << " and " << dst->type_string() in InsertConversionNodeOnEdge()
289 << "conversion node on: " << n->type_string() << " successful."; in InsertInputConversionNode()
325 if (src->type_string().compare("_MklToTf") == 0 || in RunPass()
326 dst->type_string().compare("_MklToTf") == 0) { in RunPass()
331 << src->type_string() << " and " << dst->type_string(); in RunPass()
340 IsMklSupportedOp(src->type_string(), src_datatype)); in RunPass()
343 IsMklSupportedOp(dst->type_string(), dst_datatype)); in RunPass()
383 if (IsMklElementWiseOp(n->type_string(), datatype)) { in RunPass()
389 (input_node->type_string().compare("_MklInputConversion") == 0)) { in RunPass()
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| D | function_body.cc | 34 if (n->type_string() == FunctionLibraryDefinition::kRetOp || in FunctionBody()
35 n->type_string() == FunctionLibraryDefinition::kDeviceRetOp) { in FunctionBody()
37 } else if (n->type_string() == FunctionLibraryDefinition::kArgOp || in FunctionBody()
38 n->type_string() == FunctionLibraryDefinition::kDeviceArgOp) { in FunctionBody()
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| D | eval_const_tensor.cc | 81 if (shape_node.type_string() != "Shape") return OkStatus(); in TryToInferTensorOutputFromShapeNode()
143 if (stride_node->type_string() != "StridedSlice") return OkStatus(); in TryToInferTensorOutputFromStridedSliceNode()
144 if (shape_node->type_string() != "Shape") return OkStatus(); in TryToInferTensorOutputFromStridedSliceNode()
227 if (node->type_string() == "StridedSlice") { in TryToInferTensorOutputFromInputShapes()
230 } else if (node->type_string() == "Shape") { in TryToInferTensorOutputFromInputShapes()
235 } else if (node->type_string() == "Rank") { in TryToInferTensorOutputFromInputShapes()
244 } else if (node->type_string() == "Size") { in TryToInferTensorOutputFromInputShapes()
310 if (target_node.type_string() == "PlaceholderWithDefault") { in ExtractConstantSubgraph()
381 if (current_node->type_string() == "PlaceholderWithDefault") { in ExtractConstantSubgraph()
520 if (src->type_string() == "StridedSlice") { in EvaluateConstantTensor()
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| D | lower_if_op_test.cc | 116 ASSERT_NE(op->type_string(), "If"); in TEST()
226 ASSERT_NE(op->type_string(), "If"); in TEST()
305 if (op->type_string() == x_times_two.signature().name()) { in TEST()
308 if (op->type_string() == x_times_four.signature().name()) { in TEST()
311 ASSERT_NE(op->type_string(), "If"); in TEST()
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| D | lower_function_call_op.cc | 72 } else if (n->type_string() == FunctionLibraryDefinition::kGradientOp) { in RewriteFunctionCallNode()
76 fdef = flib_def.Find(n->type_string()); in RewriteFunctionCallNode()
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| /external/mesa3d/src/mapi/glapi/gen/ |
| D | glX_proto_recv.py | 200 t = param.type_string()
267 type_string = param.type_string()
272 …rint '%s %s const %s = (%s) (%s(pc + %s));' % (indent, type_string, param.name, type_string, co…
282 print '%s const %s %s = %s;' % (indent, type_string, param.name, location)
287 print '%s %s %s = %s%s;' % (indent, type_string, param.name, cond, location)
289 print '%s %s %s;' % (indent, type_string, param.name)
342 … print ' %s = (%s) (pc + %s); break;' % (param.name, param.type_string(), o)
345 … %s = (%s) %s( (%s *) (pc + %s), %s ); break;' % (param.name, param.type_string(), swap_func, s…
352 …print ' %s = (%s) %s( (%s *) (pc + %s), %s );' % (param.name, param.type_string(), swap_func, s…
359 … print '%s %s = (%s) (pc + %s);' % (indent, param.name, param.type_string(), param.offset)
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| D | typeexpr.py | 116 def __init__(self, type_string, extra_types = None): argument
119 if not type_string:
122 self.original_string = type_string
129 tokens = type_string.replace("*", " * ").split()
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| /external/tensorflow/tensorflow/compiler/jit/ |
| D | compilability_check_util.cc | 75 << node.type_string() << ")" << (reason.empty() ? "" : ": ") in LogNotCompilable()
178 if (node.type_string() == "SymbolicGradient") { in HasXLAKernel()
184 if (node.type_string() == "Const") { in HasXLAKernel()
360 return node.type_string() == "SelfAdjointEigV2" || in OpIsInaccurate()
361 node.type_string() == "Svd"; in OpIsInaccurate()
371 return node.type_string() == "SelfAdjointEigV2" || in OpIsSlow()
372 node.type_string() == "Svd" || node.type_string() == "Qr" || in OpIsSlow()
373 node.type_string() == "MatrixInverse" || in OpIsSlow()
374 node.type_string() == "MatrixSolve" || in OpIsSlow()
375 node.type_string() == "ResizeBilinearGrad"; in OpIsSlow()
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| D | xla_cluster_util.cc | 102 << incoming_node->name() << " " << incoming_node->type_string(); in HasForwardedRefInput()
309 if (flib_def->Contains(n.type_string())) { in MayCallFunction()
321 return node.type_string() == "Shape" || node.type_string() == "Rank" || in IsShapeConsumerOp()
322 node.type_string() == "Size"; in IsShapeConsumerOp()
369 info->op_histogram[n->type_string()]++; in GetXlaAutoClusteringSummary()
372 unclustered_op_histogram[n->type_string()]++; in GetXlaAutoClusteringSummary()
400 if (flib_def.Find(n.type_string())) { in GetCallTargetListFromNode()
402 callee.set_name(n.type_string()); in GetCallTargetListFromNode()
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| D | encapsulate_xla_computations_pass.cc | 77 return errors::InvalidArgument("Invalid ", n.type_string(), " number ", in GetIndexAttr()
128 if (n->type_string() == "_Arg") { in RewriteSubgraph()
135 } else if (n->type_string() == "_Retval") { in RewriteSubgraph()
207 e->dst()->type_string() != kXlaClusterOutput) { in Encapsulate()
297 TF_RET_CHECK(output_node->type_string() == kXlaClusterOutput) in BuildXlaLaunchOps()
374 result.function_name = node.type_string(); in BuildXlaLaunchOps()
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| /external/cronet/net/base/ |
| D | mime_util.cc | 49 bool ParseMimeTypeWithoutParameter(base::StringPiece type_string,
53 bool IsValidTopLevelMimeType(const std::string& type_string) const;
579 bool MimeUtil::ParseMimeTypeWithoutParameter(base::StringPiece type_string, in ParseMimeTypeWithoutParameter() argument
583 type_string, "/", base::KEEP_WHITESPACE, base::SPLIT_WANT_ALL); in ParseMimeTypeWithoutParameter()
606 bool MimeUtil::IsValidTopLevelMimeType(const std::string& type_string) const { in IsValidTopLevelMimeType()
607 std::string lower_type = base::ToLowerASCII(type_string); in IsValidTopLevelMimeType()
613 return type_string.size() > 2 && in IsValidTopLevelMimeType()
614 base::StartsWith(type_string, "x-", in IsValidTopLevelMimeType()
648 bool ParseMimeTypeWithoutParameter(base::StringPiece type_string, in ParseMimeTypeWithoutParameter() argument
652 type_string, top_level_type, subtype); in ParseMimeTypeWithoutParameter()
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| D | mime_util.h | 87 NET_EXPORT bool ParseMimeTypeWithoutParameter(base::StringPiece type_string,
106 const std::string& type_string,
117 NET_EXPORT bool IsValidTopLevelMimeType(const std::string& type_string);
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| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| D | strip_unused_nodes.cc | 42 const string& type_string = context.params.at("type")[0]; in TypeForPlaceholder() local
43 if (!DataTypeFromString(type_string, result)) { in TypeForPlaceholder()
45 type_string, "'"); in TypeForPlaceholder()
63 const string& type_string = context.params.at("type_for_name")[i]; in TypeForPlaceholder() local
64 if (!DataTypeFromString(type_string, result)) { in TypeForPlaceholder()
66 type_string, "'"); in TypeForPlaceholder()
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| /external/tensorflow/tensorflow/core/framework/ |
| D | op_def_builder.cc | 130 bool ProcessCompoundType(const StringPiece type_string, AttrValue* allowed) { in ProcessCompoundType() argument
131 if (type_string == "numbertype" || type_string == "numerictype") { in ProcessCompoundType()
135 } else if (type_string == "quantizedtype") { in ProcessCompoundType()
139 } else if (type_string == "realnumbertype" || in ProcessCompoundType()
140 type_string == "realnumerictype") { in ProcessCompoundType()
163 StringPiece type_string; // Used if type == "type" in FinalizeAttr() local
182 } else if (ConsumeCompoundAttrType(&spec, &type_string)) { in FinalizeAttr()
185 VERIFY(ProcessCompoundType(type_string, allowed), in FinalizeAttr()
186 "Expected to see a compound type, saw: ", type_string); in FinalizeAttr()
217 VERIFY(ConsumeAttrType(&spec, &type_string), in FinalizeAttr()
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| D | dataset.cc | 261 auto& type_string = dataset->type_string(); in AddDataset() local
265 bool has_output_types_attr = HasAttr(type_string, "output_types"); in AddDataset()
266 bool has_output_shapes_attr = HasAttr(type_string, "output_shapes"); in AddDataset()
275 bool has_metadata_attr = HasAttr(type_string, "metadata"); in AddDataset()
291 use_dataset_name ? dataset->node_name() : opts->GetNameForOp(type_string), in AddDataset()
292 type_string, opts->op_registry()); in AddDataset()
317 return errors::Internal("AddDataset: Failed to build ", type_string, in AddDataset()
590 strings::StrCat(type_string(), ":", id_counter.fetch_add(1)); in Initialize()
599 "Cannot compute input sources for dataset of type ", type_string(), in ComputeNumSources()
614 "Cannot compute input sources for dataset of type ", type_string(), in ComputeNumSources()
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| /external/cronet/net/third_party/quiche/src/quiche/quic/core/crypto/ |
| D | certificate_util.cc | 74 const std::string& type_string = parts[0]; in AddName() local
77 if (type_string == "CN") { in AddName()
79 } else if (type_string == "C") { in AddName()
81 } else if (type_string == "O") { in AddName()
83 } else if (type_string == "OU") { in AddName()
86 QUIC_LOG(ERROR) << "Unrecognized type " + type_string; in AddName()
96 type_string == "C" ? CBS_ASN1_PRINTABLESTRING in AddName()
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | conv_op_helpers.h | 61 StringPiece type_string, xla::XlaOp conv_input, xla::XlaOp filter,
65 StringPiece type_string, const xla::Shape& input_shape, xla::XlaOp filter,
70 StringPiece type_string, xla::XlaOp activations,
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| /external/tensorflow/tensorflow/core/graph/ |
| D | optimizer_cse.cc | 201 hasher.MixString(n->type_string()); in NodeHash()
242 if (a->type_string() != b->type_string()) return false; in Equivalent()
300 if (n->type_string() == "Placeholder" || in Optimize()
301 n->type_string() == "PlaceholderV2" || in Optimize()
302 n->type_string() == "PlaceholderWithDefault") { in Optimize()
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| /external/OpenCL-CTS/test_conformance/api/ |
| D | test_kernel_arg_info.cpp | 342 static std::string get_expected_arg_type(const std::string& type_string, in get_expected_arg_type() argument
346 std::istringstream type_stream(type_string); in get_expected_arg_type()
350 if (type_string == "signed" || type_string == "signed*") in get_expected_arg_type()
354 else if (type_string == "unsigned" || type_string == "unsigned*") in get_expected_arg_type()
397 std::string type_string(kernel_argument.arg_type); in create_expected_arg_info() local
399 if ((is_pointer && !isdigit(type_string.back() - 1)) in create_expected_arg_info()
400 || !isdigit(type_string.back())) in create_expected_arg_info()
403 get_expected_arg_type(type_string, is_pointer); in create_expected_arg_info()
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| /external/cronet/net/cert/ |
| D | x509_util.cc | 129 const std::string& type_string = parts[0]; in AddName() local
132 if (type_string == "CN") { in AddName()
134 } else if (type_string == "C") { in AddName()
136 } else if (type_string == "O") { in AddName()
138 } else if (type_string == "OU") { in AddName()
141 LOG(ERROR) << "Unrecognized type " + type_string; in AddName()
150 !CBB_add_asn1(&attr, &value, type_string == "C" ? in AddName()
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