/third_party/mindspore/tests/ut/python/parallel/ |
D | test_stridedslice.py | 26 …(self, weight, w2, begin, end, strides, strategy1=None, strategy2=None, is_parameter=True, mask=0): argument 30 if is_parameter: 82 … net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), (1, 1, 1), strategy1, strategy2, is_parameter=True) 91 … net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), (1, 1, 2), strategy1, strategy2, is_parameter=True) 100 …net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), (1, 1, 1), strategy1, strategy2, is_parameter=True, … 109 net = Net(_w1, _w2, (0, 0), (128, 64), (1, 1), strategy1, strategy2, is_parameter=True) 117 … net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), (1, 1, 1), strategy1, strategy2, is_parameter=True) 125 … net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), (1, 1, 1), strategy1, strategy2, is_parameter=False) 133 … net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), (1, 1, 1), strategy1, strategy2, is_parameter=True)
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D | test_o2_level.py | 48 …(self, weight, w2, begin, end, strides, strategy1=None, strategy2=None, is_parameter=True, mask=0): argument 52 if is_parameter: 109 strategy1, strategy2, is_parameter=True) 120 strategy1, strategy2, is_parameter=True) 131 strategy1, strategy2, is_parameter=True, mask=1) 142 strategy1, strategy2, is_parameter=True) 152 strategy1, strategy2, is_parameter=True) 162 strategy1, strategy2, is_parameter=False) 172 strategy1, strategy2, is_parameter=True)
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D | test_tile.py | 25 def __init__(self, weight, weight2, strategy1=None, strategy2=None, is_parameter=True): argument 29 if is_parameter: 56 def __init__(self, weight, strategy1=None, strategy2=None, is_parameter=True): argument 60 if is_parameter: 93 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=True) 101 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=True) 109 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=False) 117 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=False)
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D | test_concat.py | 24 def __init__(self, weight, weight2, strategy1=None, strategy2=None, is_parameter=True): argument 27 if is_parameter: 54 def __init__(self, weight, weight2, weight3, strategy1=None, strategy2=None, is_parameter=True): argument 57 if is_parameter: 95 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=True) 103 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=True) 111 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=False)
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D | test_model_without_loss.py | 47 def __init__(self, weight, weight2, strategy1=None, strategy2=None, is_parameter=True): argument 50 if is_parameter: 77 def __init__(self, weight, weight2, weight3, strategy1=None, strategy2=None, is_parameter=True): argument 80 if is_parameter: 121 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=True) 130 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=True) 139 net = Net(_w1, _w2, strategy1, strategy2, is_parameter=False)
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D | test_slice.py | 26 def __init__(self, weight, w2, begin, end, strategy1=None, strategy2=None, is_parameter=True): argument 30 if is_parameter: 80 net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), strategy1, strategy2, is_parameter=True) 96 net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), strategy1, strategy2, is_parameter=False) 104 net = Net(_w1, _w2, (0, 0, 0), (128, 64, 32), strategy1, strategy2, is_parameter=True)
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D | test_broadcast_to.py | 26 def __init__(self, weight1, strategy1=None, strategy2=None, is_parameter=True): argument 31 if is_parameter: 43 def __init__(self, weight1, strategy1=None, strategy2=None, strategy3=None, is_parameter=True): argument 49 if is_parameter:
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D | test_pack.py | 27 def __init__(self, weight1, weight2, axis=0, strategy1=None, strategy2=None, is_parameter=True): argument 31 if is_parameter: 58 …init__(self, weight1, weight2, weight3, axis=0, strategy1=None, strategy2=None, is_parameter=True): argument 62 if is_parameter:
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/third_party/mindspore/tests/st/debugger/ |
D | test_sync_trans_true_read_tensor.py | 45 slot=0, iteration=2, device_id=0, root_graph_id=0, is_parameter=True) 48 slot=0, iteration=2, device_id=0, root_graph_id=0, is_parameter=False) 51 slot=1, iteration=2, device_id=0, root_graph_id=0, is_parameter=False) 76 f_write.write("is_parameter = " + str(tensor_info[x].is_parameter) + "\n")
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D | test_sync_trans_false_read_tensors.py | 45 slot=0, iteration=2, device_id=0, root_graph_id=0, is_parameter=True) 48 slot=0, iteration=2, device_id=0, root_graph_id=0, is_parameter=False) 51 slot=1, iteration=2, device_id=0, root_graph_id=0, is_parameter=False) 76 f_write.write("is_parameter = " + str(tensor_info[x].is_parameter) + "\n")
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D | test_async_sink_mode_true_read_tensors.py | 44 slot=0, iteration=2, device_id=0, root_graph_id=1, is_parameter=False) 48 slot=1, iteration=2, device_id=0, root_graph_id=1, is_parameter=False) 73 f_write.write("is_parameter = " + str(tensor_info[x].is_parameter) + "\n")
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/third_party/mindspore/tests/st/debugger/golden/ |
D | sync_trans_true_read_tensors.expected | 8 is_parameter = True 50 is_parameter = False 92 is_parameter = False
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D | sync_trans_false_read_tensors.expected | 8 is_parameter = True 50 is_parameter = False 67 is_parameter = False
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D | async_sink_mode_true_read_tensors.expected | 8 is_parameter = False 22 is_parameter = False
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/third_party/mindspore/mindspore/ccsrc/frontend/parallel/graph_util/ |
D | node_info.cc | 64 std::vector<bool> is_parameter; in ExtractInputParameterByNode() local 88 is_parameter.push_back(ParameterRequireGrad(input_parameter)); in ExtractInputParameterByNode() 90 is_parameter.push_back(false); in ExtractInputParameterByNode() 93 return is_parameter; in ExtractInputParameterByNode()
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/third_party/mindspore/tests/ut/python/pipeline/parse/ |
D | test_isinstance.py | 48 is_parameter = isinstance(self.weight, Parameter) 66 return is_int, is_float, is_bool, bool_is_int, is_string, is_parameter, \
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/third_party/python/Lib/test/ |
D | test_symtable.py | 140 self.assertTrue(self.spam.lookup(sym).is_parameter()) 141 self.assertFalse(self.spam.lookup("x").is_parameter())
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/third_party/mindspore/mindspore/core/ir/ |
D | meta_tensor.h | 172 bool is_parameter() const { return is_parameter_; } in is_parameter() function
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/third_party/python/Lib/ |
D | symtable.py | 242 def is_parameter(self): member in Symbol
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/third_party/mindspore/mindspore/ccsrc/frontend/parallel/ops_info/ |
D | operator_info.cc | 1511 Status OperatorInfo::set_is_parameter(const std::vector<bool> &is_parameter) { in set_is_parameter() argument 1512 if (is_parameter.size() != inputs_shape_.size()) { in set_is_parameter() 1513 MS_LOG(ERROR) << "Is_parameter: " << is_parameter.size() in set_is_parameter() 1517 is_parameter_ = is_parameter; in set_is_parameter() 1518 operator_cost()->set_is_parameter(is_parameter); in set_is_parameter()
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D | operator_info.h | 75 Status set_is_parameter(const std::vector<bool> &is_parameter);
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/third_party/mindspore/mindspore/lite/tools/optimizer/fusion/ |
D | tflite_lstm_cell_fusion.cc | 304 auto is_parameter = std::make_shared<CondVar>(IsParameterNode); in DefinePattern() local 305 MS_CHECK_TRUE_RET(is_parameter != nullptr, {}); in DefinePattern() 306 VectorRef tensor_list_stack_node = VectorRef({is_tensor_list_stack, while_output, is_parameter}); in DefinePattern()
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/third_party/mindspore/mindspore/ccsrc/frontend/parallel/ |
D | step_auto_parallel.cc | 789 std::vector<bool> is_parameter; in AugmentCostGraph() local 792 is_parameter.push_back(ParameterRequireGrad(casted_target_parameter)); in AugmentCostGraph() 793 if (tmp_identity_ptr->set_is_parameter(is_parameter) != SUCCESS) { in AugmentCostGraph()
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/third_party/python/Doc/library/ |
D | symtable.rst | 139 .. method:: is_parameter()
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/third_party/vk-gl-cts/external/openglcts/modules/gl/ |
D | gl4cDirectStateAccessFramebuffersAndRenderbuffersTests.cpp | 6702 bool is_parameter = true; in PrepareObjects() local 6704 while (is_parameter) in PrepareObjects() 6706 is_parameter = false; in PrepareObjects() 6728 is_parameter = true; in PrepareObjects() 7045 bool is_parameter = true; in PrepareObjects() local 7047 while (is_parameter) in PrepareObjects() 7049 is_parameter = false; in PrepareObjects() 7073 is_parameter = true; in PrepareObjects() 9684 bool is_parameter = true; in PrepareObjects() local 9686 while (is_parameter) in PrepareObjects() [all …]
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