| /external/Reactive-Extensions/RxCpp/Rx/v2/test/ |
| D | CMakeLists.txt | 32 ${TEST_DIR}/operators/all.cpp
33 ${TEST_DIR}/operators/any.cpp
34 ${TEST_DIR}/operators/amb.cpp
35 ${TEST_DIR}/operators/amb_variadic.cpp
36 ${TEST_DIR}/operators/buffer.cpp
37 ${TEST_DIR}/operators/combine_latest.cpp
38 ${TEST_DIR}/operators/concat.cpp
39 ${TEST_DIR}/operators/concat_map.cpp
40 ${TEST_DIR}/operators/contains.cpp
41 ${TEST_DIR}/operators/debounce.cpp
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| /external/tensorflow/tensorflow/python/autograph/operators/ |
| D | __init__.py | 40 from tensorflow.python.autograph.operators.control_flow import for_stmt
41 from tensorflow.python.autograph.operators.control_flow import if_stmt
42 from tensorflow.python.autograph.operators.control_flow import while_stmt
43 from tensorflow.python.autograph.operators.data_structures import list_append
44 from tensorflow.python.autograph.operators.data_structures import list_pop
45 from tensorflow.python.autograph.operators.data_structures import list_stack
46 from tensorflow.python.autograph.operators.data_structures import ListPopOpts
47 from tensorflow.python.autograph.operators.data_structures import ListStackOpts
48 from tensorflow.python.autograph.operators.data_structures import new_list
49 from tensorflow.python.autograph.operators.exceptions import assert_stmt
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| D | BUILD | 20 name = "operators",
54 ":operators",
67 ":operators",
77 ":operators",
87 ":operators",
98 ":operators",
108 ":operators",
118 ":operators",
|
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| D | linear_operator_composition.py | 114 operators, argument
147 check_ops.assert_proper_iterable(operators)
148 operators = list(operators)
149 if not operators:
151 "Expected a non-empty list of operators. Found: %s" % operators)
152 self._operators = operators
155 dtype = operators[0].dtype
156 for operator in operators:
158 name_type = (str((o.name, o.dtype)) for o in operators)
164 if all(operator.is_non_singular for operator in operators):
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| D | linear_operator_block_diag.py | 124 operators, argument
156 check_ops.assert_proper_iterable(operators)
157 operators = list(operators)
158 if not operators:
160 "Expected a non-empty list of operators. Found: %s" % operators)
161 self._operators = operators
164 dtype = operators[0].dtype
165 for operator in operators:
167 name_type = (str((o.name, o.dtype)) for o in operators)
173 if all(operator.is_non_singular for operator in operators):
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| D | linear_operator_kronecker.py | 138 operators, argument
171 check_ops.assert_proper_iterable(operators)
172 operators = list(operators)
173 if not operators:
175 "Expected a list of >=1 operators. Found: %s" % operators)
176 self._operators = operators
179 dtype = operators[0].dtype
180 for operator in operators:
182 name_type = (str((o.name, o.dtype)) for o in operators)
190 if all(operator.is_non_singular for operator in operators):
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| D | linear_operator_addition.py | 38 def add_operators(operators, argument
103 check_ops.assert_proper_iterable(operators)
104 operators = list(reversed(operators))
105 if len(operators) < 1:
108 "Found: %s" % operators)
110 isinstance(op, linear_operator.LinearOperator) for op in operators):
113 "Found: %s" % operators)
114 _static_check_for_same_dimensions(operators)
115 _static_check_for_broadcastable_batch_shape(operators)
118 for operator in operators:
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| /external/Reactive-Extensions/RxCpp/projects/CMake/ |
| D | CMakeLists.txt | 29 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-all.hpp
30 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-amb.hpp
31 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-any.hpp
32 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-buffer_count.hpp
33 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-buffer_time.hpp
34 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-buffer_time_count.hpp
35 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-combine_latest.hpp
36 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-concat.hpp
37 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-concat_map.hpp
38 ${RXCPP_DIR}/Rx/v2/src/rxcpp/operators/rx-connect_forever.hpp
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|
| /external/jsilver/src/com/google/clearsilver/jsilver/functions/bundles/ |
| D | CoreOperators.java | 20 import com.google.clearsilver.jsilver.functions.operators.AddFunction;
21 import com.google.clearsilver.jsilver.functions.operators.AndFunction;
22 import com.google.clearsilver.jsilver.functions.operators.DivideFunction;
23 import com.google.clearsilver.jsilver.functions.operators.EqualFunction;
24 import com.google.clearsilver.jsilver.functions.operators.ExistsFunction;
25 import com.google.clearsilver.jsilver.functions.operators.GreaterFunction;
26 import com.google.clearsilver.jsilver.functions.operators.GreaterOrEqualFunction;
27 import com.google.clearsilver.jsilver.functions.operators.LessFunction;
28 import com.google.clearsilver.jsilver.functions.operators.LessOrEqualFunction;
29 import com.google.clearsilver.jsilver.functions.operators.ModuloFunction;
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|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| D | resolve_tensorflow_matmul.cc | 31 for (auto it = model.operators.begin(); it != model.operators.end(); ++it) { in FindTransposeOpWithInput()
62 auto matmul_it = model->operators.begin() + op_index; in Run()
108 model->operators.emplace(matmul_it, transpose_op); in Run()
122 matmul_it = model->operators.begin(); in Run()
123 for (; matmul_it != model->operators.end(); ++matmul_it) { in Run()
135 model->operators.emplace(matmul_it, fc_op) + 1; in Run()
138 auto previous_op_it = model->operators.begin(); in Run()
140 for (; previous_op_it != model->operators.end(); ++previous_op_it) { in Run()
154 matmul_it = model->operators.begin(); in Run()
155 for (; matmul_it != model->operators.end(); ++matmul_it) { in Run()
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|
| D | graph_transformations.cc | 39 LOG(INFO) << label << ": " << model.operators.size() << " operators, " in PrintModelStats()
67 for (const auto& op : model->operators) { in DiscardUselessConnectedComponentsAndRNNBackEdges()
98 for (auto it = model->operators.begin(); it != model->operators.end();) { in DiscardUselessConnectedComponentsAndRNNBackEdges()
107 it = model->operators.erase(it); in DiscardUselessConnectedComponentsAndRNNBackEdges()
135 if (model->operators.empty()) { in GraphTransformationsPass()
139 int op_index = increment == 1 ? 0 : model->operators.size() - 1; in GraphTransformationsPass()
157 << model->operators.size() - 1; in GraphTransformationsPass()
162 << model->operators.size() - 1 << ": " << message; in GraphTransformationsPass()
167 if (model->operators.empty()) return true; in GraphTransformationsPass()
168 op_index = std::min<int>(op_index, model->operators.size() - 1); in GraphTransformationsPass()
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| D | identify_lstm.cc | 29 auto it = model->operators.begin(); in FindOperator()
30 for (; it != model->operators.end(); ++it) { in FindOperator()
145 auto op_it = model->operators.begin() + op_index; in Run()
269 model->operators.emplace(op_it, lstm_cell_op); in Run()
296 model->operators.erase(FindOperator(model, *final_output_mul)); in Run()
299 model->operators.erase(FindOperator(model, *state_output_tanh)); in Run()
300 model->operators.erase(FindOperator(model, *fc_output_sig)); in Run()
301 model->operators.erase(FindOperator(model, *state_combine_add)); in Run()
304 model->operators.erase(FindOperator(model, *state_forget_mul)); in Run()
305 model->operators.erase(FindOperator(model, *state_remember_mul)); in Run()
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| D | unroll_batch_matmul.cc | 60 *tail_it = model->operators.emplace(*tail_it, slice_a_op) + 1; in UnrollBatchMatMul3D()
73 *tail_it = model->operators.emplace(*tail_it, slice_a_reshape_op) + 1; in UnrollBatchMatMul3D()
92 *tail_it = model->operators.emplace(*tail_it, slice_b_op) + 1; in UnrollBatchMatMul3D()
105 *tail_it = model->operators.emplace(*tail_it, slice_b_reshape_op) + 1; in UnrollBatchMatMul3D()
114 *tail_it = model->operators.emplace(*tail_it, matmul_op) + 1; in UnrollBatchMatMul3D()
156 *tail_it = model->operators.emplace(*tail_it, pack_op) + 1; in UnrollBatchMatMulRecursion()
217 auto batch_op_it = model->operators.begin() + op_index; in Run()
236 tail_it = model->operators.emplace(tail_it, transpose_op) + 1; in Run()
244 tail_it = model->operators.emplace(tail_it, transpose_op) + 1; in Run()
268 tail_it = model->operators.emplace(tail_it, matmul_op) + 1; in Run()
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| D | identify_l2_pool.cc | 31 auto it = model->operators.begin(); in FindOperator()
32 for (; it != model->operators.end(); ++it) { in FindOperator()
44 const auto sqrt_it = model->operators.begin() + op_index; in Run()
99 model->operators.emplace(sqrt_it, l2pool_op); in Run()
108 model->operators.erase(FindOperator(model, square_op)); in Run()
109 model->operators.erase(FindOperator(model, avpool_op)); in Run()
110 model->operators.erase(FindOperator(model, sqrt_op)); in Run()
|
| D | identify_relu1.cc | 31 auto it = model->operators.begin(); in FindOperator()
32 for (; it != model->operators.end(); ++it) { in FindOperator()
63 const auto op_it = model->operators.begin() + op_index; in Run()
104 model->operators.emplace(op_it, relu1_op); in Run()
113 model->operators.erase(FindOperator(model, op_0)); in Run()
114 model->operators.erase(FindOperator(model, op_1)); in Run()
|
| /external/tensorflow/tensorflow/lite/toco/tflite/ |
| D | export_test.cc | 33 void ResetOperators() { input_model_.operators.clear(); } in ResetOperators()
52 input_model_.operators.emplace_back(op); in AddOperatorsByName()
63 input_model_.operators.emplace_back(op); in AddOperatorsByName()
74 input_model_.operators.emplace_back(op); in AddOperatorsByName()
86 input_model_.operators.emplace_back(op); in AddOperatorsByName()
90 input_model_.operators.emplace_back(op); in AddOperatorsByName()
133 input_model_.operators.emplace_back(op); in BuildQuantizableTestModel()
145 input_model_.operators.emplace_back(op); in BuildQuantizableTestModel()
181 auto operators = (*model->subgraphs())[0]->operators(); in ExportAndGetOperatorIndices() local
182 for (const auto* op : *operators) { in ExportAndGetOperatorIndices()
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| D | import_test.cc | 105 Offset<Vector<Offset<::tflite::Operator>>> operators, in BuildSubGraphs() argument
113 builder_.CreateVector(outputs), operators, in BuildSubGraphs()
127 auto operators = BuildOperators(); in BuildTestModel() local
128 auto subgraphs = BuildSubGraphs(tensors, operators); in BuildTestModel()
156 details::OperatorsTable operators; in TEST_F() local
157 details::LoadOperatorsTable(*input_model_, &operators); in TEST_F()
158 EXPECT_THAT(operators, ElementsAre("MAX_POOL_2D", "CONV_2D")); in TEST_F()
189 auto operators = BuildOperators(); in TEST_F() local
190 auto subgraphs = BuildSubGraphs(tensors, operators); in TEST_F()
203 auto operators = BuildOperators({}, {1}); in TEST_F() local
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|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/tests/ |
| D | fuse_binary_into_following_affine_test.cc | 85 model_->operators.push_back(std::unique_ptr<Operator>(mul_op)); in TEST_F()
90 model_->operators.push_back(std::unique_ptr<Operator>(fc_op)); in TEST_F()
98 ASSERT_EQ(model_->operators.size(), 1); in TEST_F()
99 const auto& op = model_->operators[0]; in TEST_F()
127 model_->operators.push_back(std::unique_ptr<Operator>(mul_op)); in TEST_F()
132 model_->operators.push_back(std::unique_ptr<Operator>(fc_op)); in TEST_F()
137 model_->operators.push_back(std::unique_ptr<Operator>(identity_op)); in TEST_F()
145 EXPECT_EQ(model_->operators.size(), 3); in TEST_F()
|
| /external/mesa3d/src/compiler/glsl/ |
| D | ast_expr.cpp | 29 static const char *const operators[] = { in operator_string() local
75 assert((unsigned int)op < sizeof(operators) / sizeof(operators[0])); in operator_string()
77 return operators[op]; in operator_string()
|
| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| D | linear_operator_block_diag_test.py | 158 self.assertEqual(2, len(adjoint.operators))
182 self.assertEqual(2, len(cholesky_factor.operators))
184 cholesky_factor.operators[0],
187 cholesky_factor.operators[1],
210 self.assertEqual(2, len(inverse.operators))
240 operators = [
245 block_diag.LinearOperatorBlockDiag(operators)
248 operators = [
253 block_diag.LinearOperatorBlockDiag(operators)
|
| D | linear_operator_composition_test.py | 121 operators = [
126 linalg.LinearOperatorComposition(operators)
185 operators = [
189 operator = linalg.LinearOperatorComposition(operators)
194 operators = [
198 operator = linalg.LinearOperatorComposition(operators)
210 operators = [
214 operator = linalg.LinearOperatorComposition(operators)
|
| /external/swiftshader/third_party/llvm-7.0/llvm/docs/tutorial/ |
| D | LangImpl06.rst | 15 doesn't have many useful operators (like division, logical negation, or
19 user-defined operators to the simple and beautiful Kaleidoscope
35 redefine existing operators: you can't programmatically change the
36 grammar, introduce new operators, change precedence levels, etc. In this
38 user round out the set of operators that are supported.
40 The point of going into user-defined operators in a tutorial like this
46 the programmer to introduce new operators into the grammar: the grammar
49 The two specific features we'll add are programmable unary operators
50 (right now, Kaleidoscope has no unary operators at all) as well as
51 binary operators. An example of this is:
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|
| /external/tensorflow/tensorflow/lite/toco/ |
| D | import_tensorflow_test.cc | 182 EXPECT_EQ(model.operators.size(), 2); in TEST()
534 ASSERT_THAT(model.operators.size(), ::testing::Ge(1)); in TEST_P()
535 ASSERT_EQ(model.operators[0]->type, OperatorType::kUnsupported); in TEST_P()
538 model.operators[0].get()); in TEST_P()
548 ASSERT_THAT(model.operators.size(), ::testing::Ge(1)); in TEST()
549 ASSERT_EQ(model.operators[0]->type, OperatorType::kUnsupported); in TEST()
552 model.operators[0].get()); in TEST()
570 ASSERT_THAT(model.operators.size(), ::testing::Ge(1)); in TEST()
571 ASSERT_EQ(model.operators[0]->type, OperatorType::kUnsupported); in TEST()
574 model.operators[0].get()); in TEST()
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| D | import_tensorflow.cc | 647 model->operators.emplace_back(reorder); in ConvertConvOperator()
687 model->operators.emplace_back(conv); in ConvertConvOperator()
723 model->operators.emplace_back(reorder); in ConvertDepthwiseConvOperator()
759 model->operators.emplace_back(conv); in ConvertDepthwiseConvOperator()
775 model->operators.emplace_back(op); in ConvertDepthToSpaceOperator()
798 model->operators.emplace_back(op); in ConvertSpaceToDepthOperator()
815 model->operators.emplace_back(biasadd); in ConvertBiasAddOperator()
833 model->operators.emplace_back(std::move(op)); in ConvertRandomUniform()
855 model->operators.emplace_back(op); in ConvertIdentityOperator()
876 model->operators.emplace_back(op); in ConvertFakeQuantWithMinMaxArgs()
[all …]
|
| /external/llvm/docs/tutorial/ |
| D | LangImpl06.rst | 15 doesn't have many useful operators (like division, logical negation, or
19 user-defined operators to the simple and beautiful Kaleidoscope
35 redefine existing operators: you can't programatically change the
36 grammar, introduce new operators, change precedence levels, etc. In this
38 user round out the set of operators that are supported.
40 The point of going into user-defined operators in a tutorial like this
46 the programmer to introduce new operators into the grammar: the grammar
49 The two specific features we'll add are programmable unary operators
50 (right now, Kaleidoscope has no unary operators at all) as well as
51 binary operators. An example of this is:
[all …]
|