/third_party/mindspore/tests/st/fl/albert/src/ |
D | assessment_method.py | 75 self.labels_array = np.concatenate([self.labels_array, labels]).astype(np.bool) 76 self.logits_array = np.concatenate([self.logits_array, logits]).astype(np.bool) 101 self.labels_array = np.concatenate([self.labels_array, labels]) 102 self.logits_array = np.concatenate([self.logits_array, logits]) 128 self.labels_array = np.concatenate([self.labels_array, labels]).astype(np.bool) 129 self.logits_array = np.concatenate([self.logits_array, logits]).astype(np.bool)
|
/third_party/mindspore/tests/st/ops/gpu/ |
D | test_unique_op.py | 112 x_np = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)) 115 …exp_idx = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)).astype(n… 172 x_np = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)) 175 …exp_idx = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)).astype(n… 232 x_np = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)) 235 …exp_idx = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)).astype(n… 323 x_np = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)) 326 …exp_idx = np.concatenate((x_np1, x_np2, x_np3, x_np1, x_np2, x_np3, x_np1, x_np2, x_np3)).astype(n…
|
D | test_concatv2_op.py | 217 output_np = np.concatenate((x1_np, x2_np, x3_np), axis=1) 262 output_np = np.concatenate((x1_np, x2_np, x3_np), axis=1) 289 output_np = np.concatenate((x1_np, x2_np, x3_np, x4_np), axis=1) 336 output_np = np.concatenate((x1_np, x2_np, x3_np, x4_np), axis=1)
|
D | test_lstm_op.py | 99 w_np = np.concatenate((wih, whh, bih, bhh), axis=1).reshape([-1, 1, 1]) 248 …w_np = np.concatenate((wih, whh, wih_reverse, whh_reverse, bih, bhh, bih_reverse, bhh_reverse), ax… 492 w_np = np.concatenate( 759 w_np = np.concatenate( 940 w_np = np.concatenate((wih, whh, bih, bhh), axis=1).reshape([-1, 1, 1])
|
/third_party/protobuf/java/core/src/test/java/com/google/protobuf/ |
D | RopeByteStringTest.java | 127 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testToString() 156 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testCharsetToString() 196 RopeByteString.concatenate( in testToString_raisesException()
|
D | RopeByteStringSubstringTest.java | 79 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testToString() 112 unicode = RopeByteString.concatenate(unicode, sourceByteString); in testCharsetToString()
|
/third_party/mindspore/mindspore/parallel/ |
D | _tensor.py | 298 … new_tensor = np.concatenate((new_tensor, tensor_slices_new[l]), axis=dim_len - 1 - i) 332 tensor_slices_new = np.concatenate((tensor_slices_new,\ 337 … new_tensor = np.concatenate((new_tensor, np.array(tensor_slices_col[i]).reshape(-1, 1)), axis=1)
|
/third_party/mindspore/mindspore/numpy/ |
D | array_creations.py | 38 from .array_ops import ravel, concatenate, broadcast_arrays, reshape, broadcast_to, flip, \ 708 return concatenate((out_left, out_right), 1).astype(dtype) 712 return concatenate((out_upper, out_lower), 0).astype(dtype) 1359 res = concatenate(tuple(expanded)) 1575 res = concatenate((res, pad_y), axis=1) 1576 res = concatenate((pad_x, res), axis=0) 1578 res = concatenate((pad_y, res), axis=1) 1579 res = concatenate((res, pad_x), axis=0) 2139 arr = concatenate(tensor_with_pad, axis=i) 2158 arr = concatenate(tensor_with_pad, axis=i) [all …]
|
/third_party/mindspore/mindspore/nn/metrics/ |
D | precision.py | 126 self._true_positives = np.concatenate((self._true_positives, true_positives), axis=0) 127 self._positives = np.concatenate((self._positives, positives), axis=0)
|
D | recall.py | 126 self._true_positives = np.concatenate((self._true_positives, true_positives), axis=0) 127 … self._actual_positives = np.concatenate((self._actual_positives, actual_positives), axis=0)
|
/third_party/mindspore/tests/ut/cpp/dataset/ |
D | c_api_transforms_test.cc | 169 …transforms::Concatenate concatenate = transforms::Concatenate(0, prepend_MSTensor, append_MSTensor… in TEST_F() local 172 ds = ds->Map({concatenate}, {"col1"}); in TEST_F() 221 transforms::Concatenate concatenate = transforms::Concatenate(); in TEST_F() local 224 ds = ds->Map({concatenate}, {"col1"}); in TEST_F() 293 …transforms::Concatenate concatenate = transforms::Concatenate(0, prepend_MSTensor, append_MSTensor… in TEST_F() local 296 ds = ds->Map({concatenate}, {"text"}); in TEST_F() 357 …transforms::Concatenate concatenate = transforms::Concatenate(-1, prepend_MSTensor, append_MSTenso… in TEST_F() local 360 ds = ds->Map({concatenate}, {"col1"}); in TEST_F() 422 …transforms::Concatenate concatenate = transforms::Concatenate(0, prepend_MSTensor, append_MSTensor… in TEST_F() local 425 ds = ds->Map({concatenate}, {"col1"}); in TEST_F() [all …]
|
/third_party/typescript/src/services/ |
D | transform.ts | 13 result.diagnostics = concatenate(result.diagnostics, diagnostics);
|
D | navigationBar.ts | 540 …a.children = a.node === ctorFunction ? concatenate([ctor], b.children || [b]) : concatenate(a.chil… 544 a.children = concatenate(a.children || [{ ...a }], b.children || [b]); 562 a.children = concatenate(a.children, b.children); 650 target.children = concatenate(target.children, source.children);
|
/third_party/mindspore/tests/st/ops/cpu/ |
D | test_concat_op.py | 274 output_np = np.concatenate((x1_np, x2_np, x3_np), axis=1) 306 output_np = np.concatenate((x1_np, x2_np, x3_np), axis=1) 332 output_np = np.concatenate((x1_np, x2_np, x3_np, x4_np), axis=1) 378 output_np = np.concatenate((x1_np, x2_np, x3_np, x4_np), axis=1)
|
D | test_lstm_op.py | 142 w_np = np.concatenate((wih, whh, bih), axis=1).reshape([-1, 1, 1]) 248 w_np = np.concatenate([w_np, bias_np], axis=0) 337 w_np = np.concatenate((wih, whh, bih), axis=1).reshape([-1, 1, 1])
|
/third_party/mindspore/mindspore/compression/quant/ |
D | quant_utils.py | 255 threshold = np.concatenate((threshold, [threshold_tmp])) 257 scaling_factor = np.concatenate((scaling_factor, [scaling_factor_tmp])) 272 kl = np.concatenate((kl, [kl_tmp]))
|
/third_party/mindspore/mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/kernels/ir/ |
D | bindings.cc | 85 … auto concatenate = std::make_shared<transforms::ConcatenateOperation>(axis, prepend, append); in __anon3fa898e20602() local 86 THROW_IF_ERROR(concatenate->ValidateParams()); in __anon3fa898e20602() 87 return concatenate; in __anon3fa898e20602()
|
/third_party/gettext/gettext-tools/tests/ |
D | xgettext-javascript-3 | 8 // The usual way to concatenate strings is the plus '+' sign
|
/third_party/boost/boost/spirit/home/classic/utility/ |
D | rule_parser.hpp | 945 static type concatenate(Action1 const & a1, Action2 const & a2) in concatenate() function 952 static type concatenate(nop_functor const &, Action const & a) in concatenate() function 959 static type concatenate(Action const & a, nop_functor const &) in concatenate() function 966 static type concatenate(nop_functor const &, nop_functor const &) in concatenate() function 974 return action_concatenator<Action1,Action2>::concatenate(a1,a2); in concatenate_actions()
|
/third_party/mindspore/tests/ut/python/pipeline/infer/ |
D | infer.py | 72 batch_data = np.concatenate(data_list, axis=0).transpose((0, 3, 1, 2))
|
/third_party/mindspore/tests/st/nccl/ |
D | test_nccl_all_gather_op.py | 50 expect = np.concatenate((expect, tmp))
|
/third_party/mindspore/tests/st/fl/cross_silo_faster_rcnn/src/FasterRcnn/ |
D | faster_rcnn_resnet50v1.py | 207 self.bbox_mask = Tensor(np.concatenate((self.ones_mask, self.zeros_mask, 209 self.nms_pad_mask = Tensor(np.concatenate((self.ones_mask, self.ones_mask, 231 self.roi_align_index_tensor = Tensor(np.concatenate(roi_align_index)) 232 self.roi_align_index_test_tensor = Tensor(np.concatenate(roi_align_index_test))
|
D | faster_rcnn_resnet.py | 206 self.bbox_mask = Tensor(np.concatenate((self.ones_mask, self.zeros_mask, 208 self.nms_pad_mask = Tensor(np.concatenate((self.ones_mask, self.ones_mask, 231 self.roi_align_index_tensor = Tensor(np.concatenate(roi_align_index)) 232 self.roi_align_index_test_tensor = Tensor(np.concatenate(roi_align_index_test))
|
/third_party/skia/third_party/externals/swiftshader/third_party/llvm-10.0/llvm/lib/Transforms/Utils/ |
D | LoopVersioning.cpp | 239 MDNode::concatenate( in annotateInstWithNoAlias() 248 MDNode::concatenate( in annotateInstWithNoAlias()
|
/third_party/node/deps/npm/node_modules/concat-stream/ |
D | readme.md | 11 …s. If you want to collect all of the buffers, and when the stream ends concatenate all of the buff… 15 There are also `objectMode` streams that emit things other than Buffers, and you can concatenate th…
|