| /system/core/init/ |
| property_type.h | 25 bool CheckType(const std::string& type_string, const std::string& value);
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| property_type.cpp | 31 bool CheckType(const std::string& type_string, const std::string& value) {
32 auto type_strings = Split(type_string, " ");
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| /external/adhd/cras/src/server/ |
| cras_dbus_util.h | 13 * type_string - the type of the value in string form (for example, "y")
19 int type, const char *type_string,
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| cras_dbus_util.c | 9 int type, const char *type_string,
20 type_string, &variant))
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| /external/tensorflow/tensorflow/compiler/jit/ |
| xla_device_ops.cc | 26 << type_string() << " on an XLA device. This should never happen.";
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| mark_for_compilation_pass.cc | 52 if (node.type_string() == "SymbolicGradient") return false;
69 VLOG(2) << "Loop marking: " << while_node.type_string();
140 if (node->type_string() == "_Arg" || node->type_string() == "_Retval")
142 if (node->type_string() == "While") {
209 << ": " << node->type_string();
215 << node->name() << ": " << node->type_string();
218 if (node->type_string() == "While" &&
224 if (node->type_string() == "_Arg") {
231 if (node->type_string() == "_Retval")
[all...] |
| xla_device.cc | 230 VLOG(2) << n->id() << " : " << n->type_string() << " : " << n->name();
240 << op_kernel->type_string();
244 port::Tracing::TraceMe trace_me(op_kernel->name(), op_kernel->type_string(),
252 << op_kernel->type_string();
253 port::Tracing::TraceMe trace_me(op_kernel->name(), op_kernel->type_string(),
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| /external/tensorflow/tensorflow/cc/gradients/ |
| grad_testutil.cc | 28 op.node()->type_string(), &grad_fn));
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| /external/tensorflow/tensorflow/compiler/tf2xla/ |
| const_analysis.cc | 46 if (metadata_ops.find(node->type_string()) != metadata_ops.end()) return;
51 if (node->type_string() == "_Arg") {
66 XlaOpRegistry::CompileTimeConstantInputs(node->type_string());
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| xla_context.cc | 128 const string type_string = DataTypeString(type);
129 VLOG(1) << "Building Max() for " << type_string;
130 xla::ComputationBuilder b(builder()->client(), "max<" + type_string + ">");
142 const string type_string = DataTypeString(type);
143 VLOG(1) << "Building Min() for " << type_string;
144 xla::ComputationBuilder b(builder()->client(), "min<" + type_string + ">");
156 const string type_string = DataTypeString(type);
157 VLOG(1) << "Building Add() for " << type_string;
158 xla::ComputationBuilder b(builder()->client(), "add<" + type_string + ">");
170 const string type_string = DataTypeString(type)
[all...] |
| /external/bsdiff/ |
| bsdiff_arguments.cc | 110 string type_string = str; local
111 std::transform(type_string.begin(), type_string.end(), type_string.begin(),
113 if (type_string == kNoCompressionString) {
116 } else if (type_string == kBZ2String) {
119 } else if (type_string == kBrotliString) {
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| /external/tensorflow/tensorflow/core/framework/ |
| op_def_builder.cc | 124 bool ProcessCompoundType(const StringPiece type_string, AttrValue* allowed) {
125 if (type_string == "numbertype" || type_string == "numerictype") {
129 } else if (type_string == "quantizedtype") {
133 } else if (type_string == "realnumbertype" ||
134 type_string == "realnumerictype") {
157 StringPiece type_string; // Used if type == "type" local
174 } else if (ConsumeCompoundAttrType(&spec, &type_string)) {
177 VERIFY(ProcessCompoundType(type_string, allowed),
178 "Expected to see a compound type, saw: ", type_string); local
215 "Unrecognized type string '", type_string, "'"); local
[all...] |
| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| strip_unused_nodes.cc | 44 const string& type_string = context.params.at("type")[0]; local
45 if (!DataTypeFromString(type_string, result)) {
47 type_string, "'");
65 const string& type_string = context.params.at("type_for_name")[i]; local
66 if (!DataTypeFromString(type_string, result)) {
68 type_string, "'");
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| /external/autotest/client/deps/ibusclient/src/ |
| ibusclient.cc | 43 // Converts |type_string| into GVariantClass.
44 GVariantClass GetGVariantClassFromStringOrDie(const std::string& type_string) {
45 if (type_string == "boolean") {
47 } else if (type_string == "int") {
49 } else if (type_string == "double") {
51 } else if (type_string == "string") {
53 } else if (GetElementType(type_string) != type_string) {
56 printf("FAIL (unknown type: %s)\n", type_string.c_str());
70 // dummy value by |type_string|. "boolean", "int", "double", or "string" ar
[all...] |
| /external/tensorflow/tensorflow/core/graph/ |
| mkl_tfconversion_pass.cc | 196 << src->type_string() << " and " << dst->type_string()
279 << "conversion node on: " << n->type_string() << " successful.";
315 if (src->type_string().compare("_MklToTf") == 0 ||
316 dst->type_string().compare("_MklToTf") == 0) {
321 << src->type_string() << " and " << dst->type_string();
330 IsMklSupportedOp(src->type_string(), src_datatype));
333 IsMklSupportedOp(dst->type_string(), dst_datatype));
373 if (IsMklElementWiseOp(n->type_string(), datatype))
[all...] |
| optimizer_cse.cc | 92 string str_to_hash = strings::StrCat(n->type_string(), out.size());
134 if (a->type_string() != b->type_string()) return false;
192 if (n->type_string() == "Placeholder" ||
193 n->type_string() == "PlaceholderV2" ||
194 n->type_string() == "PlaceholderWithDefault") {
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| mkl_layout_pass.cc | 562 << n->type_string() << ", reason: " << reason;
677 CHECK_EQ(n->type_string(), csinfo_.bias_add_grad);
694 if (e->dst()->type_string() == csinfo_.conv2d_grad_input ||
695 e->dst()->type_string() == csinfo_.mkl_conv2d_grad_input) {
706 if (e->dst()->type_string() == csinfo_.conv2d_grad_filter ||
707 e->dst()->type_string() == csinfo_.mkl_conv2d_grad_filter) {
755 if (fe->dst()->type_string() == csinfo_.mkl_conv2d_with_bias &&
[all...] |
| /external/mesa3d/src/mapi/glapi/gen/ |
| glX_proto_recv.py | 201 t = param.type_string()
268 type_string = param.type_string()
273 print '%s %s const %s = (%s) (%s(pc + %s));' % (indent, type_string, param.name, type_string, cond, offset)
283 print '%s const %s %s = %s;' % (indent, type_string, param.name, location)
288 print '%s %s %s = %s%s;' % (indent, type_string, param.name, cond, location)
290 print '%s %s %s;' % (indent, type_string, param.name)
343 print ' %s = (%s) (pc + %s); break;' % (param.name, param.type_string(), o)
346 print ' %s = (%s) %s( (%s *) (pc + %s), %s ); break;' % (param.name, param.type_string(), swap_func, self.real_types[sub[0]], o, count_name
[all...] |
| typeexpr.py | 115 def __init__(self, type_string, extra_types = None):
118 if not type_string:
121 self.original_string = type_string
126 # Replace '*' with ' * ' in type_string. Then, split the string
128 tokens = string.split( string.replace( type_string, "*", " * " ) )
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| /external/v8/tools/turbolizer/ |
| node.js | 74 var type_string = this.type;
75 if (type_string == undefined) return "";
76 if (type_string.length > 24) {
77 type_string = type_string.substr(0, 25) + "...";
79 return type_string;
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| /external/tensorflow/tensorflow/core/common_runtime/gpu/ |
| gpu_stream_util.cc | 56 VLOG(2) << "Node " << node_id << " " << n->type_string() << " "
80 const string& op = n->type_string();
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| device_set.cc | 59 return DeviceFactory::DevicePriority(d.type_string());
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| threadpool_device.cc | 51 port::Tracing::TraceMe trace_me(op_kernel->name(), op_kernel->type_string(),
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| placer.cc | 373 KernelsRegisteredForOp(node->type_string()));
404 "Operation was ", node->type_string(), " and inputs were ",
478 const string& op_type = node->type_string();
537 node.type_string());
551 "No OpKernel was registered to support Op '", node.type_string(),
555 KernelsRegisteredForOp(node.type_string()));
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| decode_image_op.cc | 72 if (type_string() == "DecodeJpeg") {
74 } else if (type_string() == "DecodeAndCropJpeg") {
77 } else if (type_string() == "DecodePng") {
79 } else if (type_string() == "DecodeGif") {
83 errors::InvalidArgument("Bad op type ", type_string()));
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