/external/tensorflow/tensorflow/python/ops/ |
D | nn_grad.py | 49 dilations=op.get_attr("dilations"), 50 strides=op.get_attr("strides"), 51 padding=op.get_attr("padding"), 52 explicit_paddings=op.get_attr("explicit_paddings"), 53 use_cudnn_on_gpu=op.get_attr("use_cudnn_on_gpu"), 54 data_format=op.get_attr("data_format").decode()), 58 dilations=op.get_attr("dilations"), 59 strides=op.get_attr("strides"), 60 padding=op.get_attr("padding"), 61 explicit_paddings=op.get_attr("explicit_paddings"), [all …]
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D | cudnn_rnn_grad.py | 27 if not op.get_attr("is_training"): 42 dropout=op.get_attr("dropout"), 43 seed=op.get_attr("seed"), 44 seed2=op.get_attr("seed2"), 45 rnn_mode=op.get_attr("rnn_mode"), 46 input_mode=op.get_attr("input_mode"), 47 direction=op.get_attr("direction")) 52 if not op.get_attr("is_training"): 68 dropout=op.get_attr("dropout"), 69 seed=op.get_attr("seed"), [all …]
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D | array_grad.py | 44 return array_ops.unstack(grad, num=op.get_attr("N"), axis=op.get_attr("axis")) 50 return array_ops.stack(grads, axis=op.get_attr("axis")) 291 begin_mask=op.get_attr("begin_mask"), 292 end_mask=op.get_attr("end_mask"), 293 ellipsis_mask=op.get_attr("ellipsis_mask"), 294 new_axis_mask=op.get_attr("new_axis_mask"), 295 shrink_axis_mask=op.get_attr("shrink_axis_mask")), None, None, None 310 begin_mask=op.get_attr("begin_mask"), 311 end_mask=op.get_attr("end_mask"), 312 ellipsis_mask=op.get_attr("ellipsis_mask"), [all …]
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D | image_grad.py | 48 align_corners=op.get_attr("align_corners"), 49 half_pixel_centers=op.get_attr("half_pixel_centers")) 67 align_corners=op.get_attr("align_corners"), 68 half_pixel_centers=op.get_attr("half_pixel_centers")) 89 kernel_type=op.get_attr("kernel_type"), 90 antialias=op.get_attr("antialias")) 111 align_corners=op.get_attr("align_corners"), 112 half_pixel_centers=op.get_attr("half_pixel_centers")) 141 grad, op.inputs[1], op.inputs[2], image_shape, T=op.get_attr("T"), 142 method=op.get_attr("method"))
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D | tensor_array_grad.py | 106 dtype = op.get_attr("dtype") 132 dtype = op.get_attr("T") 169 dtype = op.get_attr("dtype") 193 dtype = op.get_attr("T") 230 dtype = op.get_attr("dtype") 254 dtype = op.get_attr("T")
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D | nccl_ops.py | 64 if op.get_attr('reduction') != b'sum': 68 num_devices = op.get_attr('num_devices') 69 shared_name = op.get_attr('shared_name') + b'_grad' 163 if op.get_attr('reduction') != b'sum':
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D | image_ops.py | 247 interpolation = op.get_attr("interpolation") 248 fill_mode = op.get_attr("fill_mode") 281 interpolation = op.get_attr("interpolation") 282 fill_mode = op.get_attr("fill_mode")
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D | critical_section_ops.py | 72 return op.get_attr("_class") 383 and x.op.get_attr("shared_name") 384 and (x.op.get_attr("shared_name") == 385 self._handle.op.get_attr("shared_name"))
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D | linalg_grad.py | 296 equation = op.get_attr("equation") 555 adjoint_a = op.get_attr("adjoint") 626 fast = op.get_attr("fast") 650 adjoint_a = op.get_attr("adjoint") 651 lower_a = op.get_attr("lower") 682 adjoint_a = op.get_attr("adjoint") 683 lower_a = op.get_attr("lower") 727 compute_v = op.get_attr("compute_v") 772 compute_v = op.get_attr("compute_v") 827 if not op.get_attr("compute_uv"): [all …]
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D | math_grad.py | 58 if not op.get_attr("keep_dims"): 210 if not op.get_attr("keep_dims"): 224 if not op.get_attr("keep_dims"): 285 if not op.get_attr("keep_dims"): 1685 t_a = op.get_attr("transpose_a") 1686 t_b = op.get_attr("transpose_b") 1701 t_a = op.get_attr("transpose_a") 1702 t_b = op.get_attr("transpose_b") 1729 t_a = op.get_attr("transpose_a") 1730 t_b = op.get_attr("transpose_b") [all …]
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/external/tensorflow/tensorflow/python/compiler/xla/ |
D | jit_test.py | 81 self.assertFalse(v_false_1_t.op.get_attr("_XlaCompile")) 87 self.assertFalse(v_true_1_t_sampler_op.get_attr("_XlaCompile")) 88 self.assertTrue(v_all_true_t_sampler_op.get_attr("_XlaCompile")) 90 self.assertTrue(v_true_1_t.op.get_attr("_XlaCompile")) 91 self.assertTrue(v_all_true_t.op.get_attr("_XlaCompile")) 121 self.assertEqual(b"jit_scope_0", a1.op.get_attr("_XlaScope")) 122 self.assertEqual(b"jit_scope_1", a2.op.get_attr("_XlaScope")) 123 self.assertEqual(b"jit_scope_1", a3.op.get_attr("_XlaScope")) 124 self.assertEqual(b"jit_scope_1", a4.op.get_attr("_XlaScope")) 125 self.assertEqual(b"jit_scope_1", a5.op.get_attr("_XlaScope")) [all …]
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/external/tensorflow/tensorflow/python/ops/linalg/sparse/ |
D | sparse_csr_matrix_grad.py | 32 grad, type=op.get_attr("T"))) 74 grad, type=op.get_attr("type"), conjugate=op.get_attr("conjugate")) 82 softmax, grad_softmax, type=op.get_attr("type")) 95 t_a = op.get_attr("transpose_a") 96 t_b = op.get_attr("transpose_b") 97 adj_a = op.get_attr("adjoint_a") 98 adj_b = op.get_attr("adjoint_b") 99 transpose_output = op.get_attr("transpose_output") 100 conjugate_output = op.get_attr("conjugate_output") 175 t_a = op.get_attr("transpose_a") [all …]
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/external/tensorflow/tensorflow/python/util/ |
D | example_parser_configuration.py | 50 num_sparse = parse_example_op.get_attr("Nsparse") 51 num_dense = parse_example_op.get_attr("Ndense") 54 sparse_types = parse_example_op.get_attr("sparse_types") 55 dense_types = parse_example_op.get_attr("Tdense") 56 dense_shapes = parse_example_op.get_attr("dense_shapes") 139 dense_types = parse_example_op.get_attr("Tdense") 140 num_sparse = parse_example_op.get_attr("num_sparse") 141 sparse_types = parse_example_op.get_attr("sparse_types") 142 ragged_value_types = parse_example_op.get_attr("ragged_value_types") 143 ragged_split_types = parse_example_op.get_attr("ragged_split_types") [all …]
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/external/tensorflow/tensorflow/compiler/mlir/tfr/examples/mnist/ |
D | ops_defs.py | 78 act = op.get_attr('act') 96 dilations = [1, op.get_attr('dilation_w'), op.get_attr('dilation_h'), 1] 97 strides = [1, op.get_attr('stride_w'), op.get_attr('stride_h'), 1] 98 padding = op.get_attr('padding') 142 act = op.get_attr('act') 186 filter_width = op.get_attr('filter_width') 187 filter_height = op.get_attr('filter_height') 188 stride_w = op.get_attr('stride_w') 189 stride_h = op.get_attr('stride_h') 190 padding = op.get_attr('padding')
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/external/tensorflow/tensorflow/python/eager/ |
D | function_argument_naming_test.py | 56 [inp.op.get_attr('_user_specified_name') for inp in fn_op.inputs]) 80 [inp.op.get_attr('_user_specified_name') for inp in fn_op.inputs]) 99 [inp.op.get_attr('_user_specified_name') for inp in fn_op.inputs]) 115 [inp.op.get_attr('_user_specified_name') for inp in fn_op2.inputs]) 128 [inp.op.get_attr('_user_specified_name') for inp in fn_op3.inputs]) 147 [inp.op.get_attr('_user_specified_name') for inp in class_op.inputs]) 157 [inp.op.get_attr('_user_specified_name') for inp in method_op.inputs]) 169 [inp.op.get_attr('_user_specified_name') for inp in method_op.inputs]) 191 [inp.op.get_attr('_user_specified_name') for inp in method_op.inputs]) 198 [inp.op.get_attr('_user_specified_name') for inp in method_op2.inputs]) [all …]
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | pfor.py | 898 def get_attr(self, attr): member in _PforInput 899 return self._op.get_attr(attr) 1028 flat_attrs.append(op.get_attr(str(a))) 1889 is_training = pfor_input.get_attr("is_training") 1915 data_format = pfor_input.get_attr("data_format") 1942 data_format = pfor_input.get_attr("data_format") 1990 strides = pfor_input.get_attr("strides") 1991 padding = pfor_input.get_attr("padding") 1992 use_cudnn_on_gpu = pfor_input.get_attr("use_cudnn_on_gpu") 1993 data_format = pfor_input.get_attr("data_format") [all …]
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/external/tensorflow/tensorflow/python/tpu/ops/ |
D | tpu_ops.py | 87 concat_dimension=op.get_attr("split_dimension"), 88 split_dimension=op.get_attr("concat_dimension"), 89 split_count=op.get_attr("split_count")), None 169 table_id = activations_op.get_attr("table_id") 170 lookup_id = activations_op.get_attr("lookup_id")
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/external/tensorflow/tensorflow/python/framework/ |
D | auto_control_deps_utils.py | 69 read_only_input_indices = op.get_attr(READ_ONLY_RESOURCE_INPUTS_ATTR) 109 read_only_input_indices = op.get_attr(READ_ONLY_RESOURCE_INPUTS_ATTR) 148 read_only_input_indices = op.get_attr(READ_ONLY_RESOURCE_INPUTS_ATTR)
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D | tensor_util.py | 684 return MakeNdarray(tensor.op.get_attr("value")) 723 cast_dtype = dtypes.as_dtype(tensor.op.get_attr("DstT")) 755 if tensor.op.get_attr("axis") != 0: 765 if tensor.op.get_attr("axis") != 0: 776 split = np.split(value, tensor.op.get_attr("num_split"), dim) 930 cast_dtype = dtypes.as_dtype(tensor.op.get_attr("DstT")) 945 assert tensor.op.get_attr("axis") == 0 985 begin_mask = tensor.op.get_attr("begin_mask") 988 end_mask = tensor.op.get_attr("end_mask") 992 ellipsis_mask = tensor.op.get_attr("ellipsis_mask") [all …]
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D | auto_control_deps.py | 156 return [op.get_attr("_collective_manager_id")] 161 return op.get_attr(utils.COLLECTIVE_MANAGER_IDS) 390 collective_manager_scopes_opened[op.get_attr(
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/external/tensorflow/tensorflow/python/tpu/ |
D | tpu_test.py | 154 a = graph.get_operation_by_name("import/a").get_attr( 157 x = graph.get_operation_by_name("import/x").get_attr( 164 graph.get_operation_by_name("import/b").get_attr( 169 graph.get_operation_by_name("import/y").get_attr(
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/external/llvm-project/lldb/source/Plugins/SymbolFile/DWARF/ |
D | DWARFAttribute.h | 29 dw_attr_t get_attr() const { return m_attr; } in get_attr() function 62 return m_infos[i].attr.get_attr(); in AttributeAtIndex()
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/external/tensorflow/tensorflow/python/ops/ragged/ |
D | ragged_conversion_ops.py | 67 row_partition_types = op.get_attr("row_partition_types") 158 batched_input = (op.get_attr("output_ragged_rank") > 0)
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/external/libnetfilter_conntrack/include/internal/ |
D | extern.h | 5 extern const get_attr get_attr_array[];
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D | types.h | 11 typedef const void *(*get_attr)(const struct nf_conntrack *ct); typedef
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