| /test/framework/harnesses/host_controller/ |
| invocation_thread_test.py | 132 def _RaiseExceptionForOperation(operation, op_type, error_msg="unit test"):
137 op_type: A string, the expected type.
141 RemoteOperationException if the operation's type matches op_type.
143 if operation.type == op_type:
|
| /toolchain/binutils/binutils-2.27/gas/config/ |
| xtensa-relax.h | 94 typedef enum op_type enum
|
| tc-d10v.c | 487 int op_type,
494 shift = d10v_operands[op_type].shift;
498 bits = d10v_operands[op_type].bits;
501 if (check_range (value, bits, d10v_operands[op_type].flags))
1499 int op_type; local
[all...] |
| /external/google-breakpad/src/third_party/libdisasm/ |
| ia32_operand.c | 232 static size_t decode_operand_size( unsigned int op_type, x86_insn_t *insn,
237 switch (op_type) {
383 unsigned int addr_meth, op_type, op_size, gen_regs; local
389 op_type = raw_flags & OPTYPE_MASK;
404 op_size = decode_operand_size(op_type, insn, op);
|
| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| HexagonModel.cpp | 253 op_type Model::getFloatActivation(uint32_t operand) {
257 op_type Model::getQuantizedActivation(uint32_t operand) {
279 uint32_t Model::addOperationInternal(op_type op, hexagon_nn_padding_type pad,
322 bool Model::addBasicOperation(op_type op, hexagon_nn_padding_type pad,
331 std::vector<hexagon_nn_input> Model::setupActivationArgs(op_type op) {
352 bool Model::addFloatOperationWithActivation(op_type op, hexagon_nn_padding_type pad,
353 op_type activation,
370 bool Model::addQuant8OperationWithActivation(op_type op, hexagon_nn_padding_type pad,
371 op_type activation,
390 bool Model::addFusedFloatOperation(op_type op, hexagon_nn_padding_type pad
[all...] |
| HexagonUtils.h | 68 op_type getFloatActivationFunction(FusedActivationFunc act);
69 op_type getQuantizedActivationFunction(FusedActivationFunc act);
103 std::string toString(op_type op);
|
| /external/ltp/testcases/kernel/syscalls/fcntl/ |
| fcntl33.c | 68 int op_type; member in struct:test_case_t
218 switch (test_cases[i].op_type) {
|
| /external/tensorflow/tensorflow/c/ |
| c_api_internal.h | 110 TF_OperationDescription(TF_Graph* g, const char* op_type,
112 : node_builder(node_name, op_type, g->graph.op_registry()), graph(g) {}
|
| /external/tensorflow/tensorflow/contrib/framework/python/framework/ |
| graph_util.py | 38 output_quantized, op_name, op_type):
48 op_type: fused op type.
112 new_node.op = op_type
|
| /external/tensorflow/tensorflow/contrib/hvx/hvx_ops_support_checker/ |
| hvx_ops_support_checker_main.cc | 142 for (const string& op_type : unsupported_ops) {
143 LOG(INFO) << "(" << (++count) << ") " << op_type;
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| constant_folding.cc | 89 DataType op_type = n->output_type(0); local
90 Tensor t(op_type, TensorShape({rank}));
91 if (op_type == DT_INT64) {
97 CHECK(op_type == DT_INT32);
144 DataType op_type = n->output_type(0); local
145 Tensor t(op_type, TensorShape({}));
147 if (op_type == DT_INT64) {
150 CHECK(op_type == DT_INT32);
|
| /external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
| identify_lstm.cc | 54 // the given op_type.
58 OperatorType op_type, Operator** connected_op) {
66 if ((op_type == OperatorType::kNone) && (x != nullptr)) {
69 if ((op_type != OperatorType::kNone) && (x == nullptr)) {
74 if ((x != nullptr) && (x->type != op_type)) {
|
| /external/tensorflow/tensorflow/contrib/tensorboard/plugins/trace/ |
| trace_test.py | 61 if op.op_type == 'Const':
|
| /external/tensorflow/tensorflow/python/eager/ |
| pywrap_tfe.h | 127 void TFE_Py_TapeSetRecordOperation(PyObject* op_type, PyObject* output_tensors,
|
| /hardware/qcom/neuralnetworks/hvxservice/1.0/hexagon_nn_controller/ |
| hexagon_nn_controller.h | 87 hexagon_nn_nn_id id, unsigned int node_id, op_type operation, hexagon_nn_padding_type padding,
|
| /system/update_engine/payload_generator/ |
| ab_generator.cc | 283 InstallOperation_Type op_type; local
285 diff_utils::GenerateBestFullOperation(data, version, &blob, &op_type));
289 if (aop->op.type() != op_type || aop->op.data_length() != blob.size()) {
290 aop->op.set_type(op_type);
|
| cycle_breaker.cc | 58 InstallOperation_Type op_type = graph[i].aop.op.type(); local
59 if (op_type == InstallOperation::REPLACE ||
60 op_type == InstallOperation::REPLACE_BZ) {
|
| delta_diff_utils.cc | 723 InstallOperation_Type op_type; local
725 GenerateBestFullOperation(new_data, version, &data_blob, &op_type));
726 operation.set_type(op_type);
[all...] |
| /system/update_engine/scripts/update_payload/ |
| test_utils.py | 182 def AddOperation(self, is_kernel, op_type, data_offset=None,
190 op.type = op_type
268 def AddOperationWithData(self, is_kernel, op_type, src_extents=None,
279 op_type: one of REPLACE, REPLACE_BZ, MOVE or BSDIFF
293 self.AddOperation(is_kernel, op_type, data_offset=data_offset,
|
| checker_unittest.py | [all...] |
| /external/tensorflow/tensorflow/python/grappler/ |
| cost_analyzer_test.py | 95 for op_type in [b"MatMul", b"Conv2D", b"Conv2DBackpropFilter"]:
97 br"\s+" + op_type + br",\s*(\d+),\s*(\d+),\s*([\d\.eE+-]+)%,\s*" +
104 if op_type is b"MatMul":
|
| /external/tensorflow/tensorflow/python/debug/cli/ |
| analyzer_cli.py | 59 SORT_TENSORS_BY_OP_TYPE = "op_type"
273 "--op_type",
305 "--op_type",
546 op_type = self._debug_dump.node_op_type(dump.node_name)
547 if not op_type_regex.match(op_type):
553 op_type = self._debug_dump.node_op_type(dump.node_name)
559 line += op_type
615 op_type = self._debug_dump.node_op_type(dump.node_name)
616 if len(op_type) + 1 > max_op_type_width:
617 max_op_type_width = len(op_type) +
[all...] |
| /external/tensorflow/tensorflow/python/framework/ |
| ops.py | [all...] |
| /external/tensorflow/tensorflow/core/framework/ |
| op_kernel_test.cc | 114 NodeDef CreateNodeDef(const string& op_type, const DataTypeVector& inputs) {
115 NodeDefBuilder builder(op_type + "-op", op_type);
135 void ExpectSuccess(const string& op_type, DeviceType device_type,
141 CreateNodeDef(op_type, inputs), TF_GRAPH_DEF_VERSION, &status));
374 NodeDef CreateNodeDef(const string& op_type,
377 node_def.set_name(op_type + "-op");
378 node_def.set_op(op_type);
390 std::unique_ptr<OpKernel> ExpectSuccess(const string& op_type,
395 NodeDef def = CreateNodeDef(op_type, attrs)
[all...] |
| /toolchain/binutils/binutils-2.27/opcodes/ |
| crx-dis.c | 126 for (i = 0; instruction->operands[i].op_type && i < MAX_OPERANDS; i++)
621 if (instruction->operands[op_index].op_type == abs16)
665 a.type = getargtype (instruction->operands[i].op_type);
666 if (instruction->operands[i].op_type == cst4
667 || instruction->operands[i].op_type == rbase_dispu4)
669 a.size = getbits (instruction->operands[i].op_type);
|
