| /external/tensorflow/tensorflow/core/grappler/optimizers/data/vectorization/ |
| vectorizer_registry.h | 35 Vectorizer* Get(const string& op_type);
38 void Register(const string& op_type, std::unique_ptr<Vectorizer> vectorizer);
48 VectorizerRegistration(const string& op_type,
50 VectorizerRegistry::Global()->Register(op_type, std::move(vectorizer));
56 #define REGISTER_VECTORIZER(op_type, vectorizer) \
57 REGISTER_VECTORIZER_UNIQ_HELPER(__COUNTER__, op_type, vectorizer)
59 #define REGISTER_VECTORIZER_UNIQ_HELPER(ctr, op_type, vectorizer) \
60 REGISTER_VECTORIZER_UNIQ(ctr, op_type, vectorizer)
62 #define REGISTER_VECTORIZER_UNIQ(ctr, op_type, vectorizer) \
65 op_type, ::std::unique_ptr<::tensorflow::grappler::Vectorizer>(
[all...] |
| vectorizer_registry.cc | 28 Vectorizer* VectorizerRegistry::Get(const string& op_type) {
29 auto found = vectorizers_.find(op_type);
36 void VectorizerRegistry::Register(const string& op_type,
38 auto existing = Get(op_type);
40 << "Vectorizer for op type: " << op_type << " already registered";
42 op_type, std::move(vectorizer)));
|
| /external/swiftshader/third_party/subzero/pydir/ |
| gen_test_arith_ll.py | 1 def mangle(op, op_type, signed):
18 return '_Z' + str(len(base)) + base + suffixMap[op_type][signed]
49 for op_type in ['i1', 'i8', 'i16', 'i32']:
50 arith('i32', op_type, op)
51 for op_type in ['i64', '<4 x i32>', '<8 x i16>', '<16 x i8>']:
52 arith(op_type, op_type, op)
55 for op_type in ['float', 'double', '<4 x float>']:
56 arith(op_type, op_type, op
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| i_remote_fused_graph_ops_definitions.h | 37 virtual int GetOpIdFor(const string& op_type,
|
| /external/tensorflow/tensorflow/core/kernels/hexagon/ |
| hexagon_ops_definitions.h | 34 int GetOpIdFor(const string& op_type, const DataTypeVector& dt) const final;
43 const string& op_type, const DataTypeVector& dt_vec,
|
| hexagon_ops_definitions.cc | 288 const string& op_type, const DataTypeVector& dt_vec,
291 if (map->count(op_type) <= 0) {
292 map->emplace(op_type, std::vector<DataTypeToOp>());
294 map->at(op_type).emplace_back(
385 int HexagonOpsDefinitions::GetOpIdFor(const string& op_type,
387 if (op_name_to_soc_op_type_map_.count(op_type) > 0) {
389 op_name_to_soc_op_type_map_.at(op_type);
|
| /external/swiftshader/third_party/llvm-7.0/llvm/test/CodeGen/NVPTX/ |
| ld-st-addrrspace.py | 54 for op_type, volatile, space in product(
71 "type": op_type,
76 "ptx_reg": llvm_type_to_ptx_reg[op_type],
77 "ptx_type": llvm_type_to_ptx_type[op_type],
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| profile_handler.h | 41 // - op_type: String name of the Op.
44 bool is_copy, StringPiece label, StringPiece op_type,
|
| /external/v8/src/interpreter/ |
| bytecode-decoder.cc | 139 OperandType op_type = Bytecodes::GetOperandType(bytecode, i); local
144 switch (op_type) {
148 << DecodeUnsignedOperand(operand_start, op_type, operand_scale)
153 DecodeUnsignedOperand(operand_start, op_type, operand_scale));
158 auto id = DecodeUnsignedOperand(operand_start, op_type, operand_scale);
164 operand_start, op_type, operand_scale))
168 os << "[" << DecodeSignedOperand(operand_start, op_type, operand_scale)
173 << DecodeUnsignedOperand(operand_start, op_type, operand_scale);
178 DecodeRegisterOperand(operand_start, op_type, operand_scale);
184 DecodeRegisterListOperand(operand_start, 3, op_type, operand_scale)
[all...] |
| /external/tensorflow/tensorflow/python/debug/lib/ |
| profiling.py | 33 op_type):
42 op_type: (string) Operation type.
54 self.op_type = op_type
|
| debug_utils.py | 155 op_type = op.type
159 if op_type_pattern and not op_type_pattern.match(op_type):
248 op_type = op.type
252 if op_type_pattern and op_type_pattern.match(op_type):
|
| /external/ltp/testcases/kernel/syscalls/fcntl/ |
| fcntl33.c | 57 int op_type; member in struct:test_case_t
139 if (test_cases[i].op_type == OP_OPEN_RDONLY)
146 if (test_cases[i].op_type == OP_OPEN_RDONLY) {
176 switch (test_cases[i].op_type) {
|
| /external/tensorflow/tensorflow/lite/core/api/ |
| flatbuffer_conversions.h | 57 TfLiteStatus ParseOpData(const Operator* op, BuiltinOperator op_type,
|
| /external/tensorflow/tensorflow/python/eager/ |
| execution_callbacks.py | 59 op_type,
67 op_type: Type name of the op that generated the tensor with
76 self._op_type = op_type
105 def op_type(self): member in class:InfOrNanError
125 def inf_nan_callback(op_type,
142 op_type: Name of the TFE operation type (e.g., `MatMul`).
193 error = InfOrNanError(op_type, op_name, index, len(outputs), value)
206 def inf_callback(op_type,
214 op_type,
224 def nan_callback(op_type,
[all...] |
| /external/tensorflow/tensorflow/cc/gradients/ |
| image_grad_test.cc | 54 void MakeOp(const OpType op_type, const Tensor& x_data, const Input& y_shape,
58 switch (op_type) {
79 void TestResizedShapeForType(const OpType op_type, const bool align_corners,
84 MakeOp<T>(op_type, x_data, {4, 6}, align_corners, half_pixel_centers, &x,
94 void TestResizedShape(OpType op_type) {
100 TestResizedShapeForType<Eigen::half>(op_type, align_corners,
102 TestResizedShapeForType<float>(op_type, align_corners,
104 TestResizedShapeForType<double>(op_type, align_corners,
111 void TestResizeToSmallerAndAlign(const OpType op_type,
117 MakeOp<X_T>(op_type, x_data, {2, 3}, align_corners, half_pixel_centers, &x
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| hlo_metadata_test.cc | 58 EXPECT_EQ("add", instruction->metadata().op_type());
83 EXPECT_EQ("", instruction->metadata().op_type());
|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| remove_trivial_quantized_min_max.cc | 34 OperatorType op_type, const string& input_array_name,
49 switch (op_type) {
|
| remove_trivial_quantized_activation_func.cc | 34 const Model& model, OperatorType op_type,
38 switch (op_type) {
|
| /external/tensorflow/tensorflow/core/framework/ |
| memory_types.cc | 63 bool IsFunctionCallOp(const string& op_type) {
64 return op_type == "SymbolicGradient" || op_type == "PartitionedCall" ||
65 op_type == "StatefulPartitionedCall" || op_type == "While";
|
| /external/capstone/bindings/vb6/ |
| vbCapstone.cpp | 81 int __stdcall bs_op_index(csh handle, const cs_insn *insn, unsigned int op_type, unsigned int position){
83 return cs_op_index(handle,insn,op_type,position);
86 int __stdcall bs_op_count(csh handle, const cs_insn *insn, unsigned int op_type){
88 return cs_op_count(handle,insn,op_type);
|
| /external/tensorflow/tensorflow/python/autograph/converters/ |
| logical_expressions.py | 76 op_type = type(operator)
77 return op_type in OP_MAPPING
80 op_type = type(operator)
81 return OP_MAPPING[op_type]
|
| /external/tensorflow/tensorflow/core/util/ |
| stat_summarizer.cc | 117 // timeline_label should be of the format: <node_name> = <op_type>(<args>)
118 // Extract <op_type>.
151 std::string op_type = "<>"; local
161 op_type = "gpu:" + parts[1];
170 op_type = "gpu:" + parts.back();
173 op_type = OpType(ds, ns);
204 stats_calculator_->AddNodeStats(name, op_type, node_num, start_us,
|
| /external/capstone/ |
| cs.c | 948 int CAPSTONE_API cs_op_count(csh ud, const cs_insn *insn, unsigned int op_type)
980 if (insn->detail->arm.operands[i].type == (arm_op_type)op_type)
985 if (insn->detail->arm64.operands[i].type == (arm64_op_type)op_type)
990 if (insn->detail->x86.operands[i].type == (x86_op_type)op_type)
995 if (insn->detail->mips.operands[i].type == (mips_op_type)op_type)
1000 if (insn->detail->ppc.operands[i].type == (ppc_op_type)op_type)
1005 if (insn->detail->sparc.operands[i].type == (sparc_op_type)op_type)
1010 if (insn->detail->sysz.operands[i].type == (sysz_op_type)op_type)
1015 if (insn->detail->xcore.operands[i].type == (xcore_op_type)op_type)
1024 int CAPSTONE_API cs_op_index(csh ud, const cs_insn *insn, unsigned int op_type,
[all...] |
| /external/parameter-framework/asio-1.10.6/include/asio/detail/ |
| select_reactor.hpp | 74 int op_type, socket_type descriptor,
85 ASIO_DECL void start_op(int op_type, socket_type descriptor,
|
| /external/tensorflow/tensorflow/contrib/graph_editor/tests/ |
| match_test.py | 52 match.op_type("Add"), match.op_type("Const"))(self.f.op))
|
