| /third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/hypercomplex/hypercomplex/ |
| D | _hc_bn_impl.py | 45 gamma_init: Union[Tensor, str, Initializer, numbers.Number], 46 beta_init: Union[Tensor, str, Initializer, numbers.Number], 51 def get_norm(self, u: Tensor) -> Tensor: 68 def get_square_norm(self, u: Tensor) -> Tensor: 86 u_x: Tensor, 87 u_y: Tensor, 88 scale_x: Tensor, 89 scale_y: Tensor, 90 shift_x: Tensor, 91 shift_y: Tensor) -> Tuple[Tensor, Tensor]: [all …]
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| D | hc_pool.py | 123 def construct(self, u: Tensor) -> Tensor: 134 x: Tensor, 135 y: Tensor) -> Tuple[Tensor, Tensor]: 222 x: Tensor, 223 y: Tensor) -> Tuple[Tensor, Tensor]: 319 x: Tensor, 320 y: Tensor) -> Tuple[Tensor, Tensor]: 419 x: Tensor, 420 y: Tensor) -> Tuple[Tensor, Tensor]: 518 x: Tensor, [all …]
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| D | hc_bn.py | 121 gamma_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', 122 beta_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 123 moving_mean_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 124 moving_var_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', 172 def construct(self, u: Tensor) -> Tensor: 231 u_centered: Tensor, 232 sigma2: Tensor, 252 u: Tensor, 359 gamma_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', 360 beta_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', [all …]
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| D | hc_conv.py | 164 weight_init: Union[Tensor, str, Initializer, numbers.Number], 165 bias_init: Union[Tensor, str, Initializer, numbers.Number], 218 weight_init: Union[Tensor, str, Initializer, numbers.Number], 219 bias_init: Union[Tensor, str, Initializer, numbers.Number], 268 def construct(self, u: Tensor) -> Tensor: 299 x: Tensor, 300 y: Tensor) -> Tuple[Tensor, Tensor]: 458 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 459 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 481 x: Tensor, [all …]
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| D | _hc_dense_impl.py | 62 weight_init: Union[Tensor, str, Initializer, numbers.Number], 68 x: Tensor, 69 y: Tensor) -> Tuple[Tensor, Tensor]: 102 weight_init: Union[Tensor, str, Initializer, numbers.Number],
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| D | _hc_conv_impl.py | 66 weight_init: Union[Tensor, str, Initializer, numbers.Number], 73 x: Tensor, 74 y: Tensor, 116 weight_init: Union[Tensor, str, Initializer, numbers.Number],
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| D | hc_dense.py | 95 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 96 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 159 def check_dense_input_shape(self, x: Tensor, x_dtype): 168 def construct(self, u: Tensor) -> Tensor:
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| /third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/hypercomplex/double/ |
| D | _double_bn_impl.py | 52 u_x: Tensor, 53 u_y: Tensor, 54 scale_x: Tensor, 55 scale_y: Tensor, 56 shift_x: Tensor, 57 shift_y: Tensor) -> Tuple[Tensor, Tensor]: 89 def get_norm(self, u: Tensor) -> Tensor: 114 def get_square_norm(self, u: Tensor) -> Tensor: 165 u_x: Tensor, 166 u_y: Tensor, [all …]
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| D | double_operators.py | 239 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 240 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 435 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 436 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 668 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 669 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 817 gamma_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', 818 beta_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 819 moving_mean_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 820 moving_var_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', [all …]
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| D | _double_dense_impl.py | 63 real: Tensor, 64 double: Tensor) -> Tuple[Tensor, Tensor]: 116 u1: Tensor, 117 u2: Tensor) -> Tuple[Tensor, Tensor]:
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| D | _double_conv_impl.py | 65 real: Tensor, 66 double: Tensor, 127 u1: Tensor, 128 u2: Tensor,
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| /third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/nn/layer/ |
| D | transformer.py | 194 …def construct(self, query: Tensor, key: Tensor, value: Tensor, key_padding_mask: Optional[Tensor] … 195 … need_weights: bool = True, attn_mask: Optional[Tensor] = None, average_attn_weights: bool = True): 355 def construct(self, src: Tensor, src_mask: Optional[Tensor] = None, 356 src_key_padding_mask: Optional[Tensor] = None): 507 def construct(self, tgt: Tensor, memory: Tensor, tgt_mask: Optional[Tensor] = None, 508 … memory_mask: Optional[Tensor] = None, tgt_key_padding_mask: Optional[Tensor] = None, 509 memory_key_padding_mask: Optional[Tensor] = None): 595 …def construct(self, src: Tensor, src_mask: Optional[Tensor] = None, src_key_padding_mask: Optional… 670 def construct(self, tgt: Tensor, memory: Tensor, tgt_mask: Optional[Tensor] = None, 671 … memory_mask: Optional[Tensor] = None, tgt_key_padding_mask: Optional[Tensor] = None, [all …]
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| /third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/hypercomplex/complex/ |
| D | _complex_bn_impl.py | 49 u_x: Tensor, 50 u_y: Tensor, 51 scale_x: Tensor, 52 scale_y: Tensor, 53 shift_x: Tensor, 54 shift_y: Tensor) -> Tuple[Tensor, Tensor]: 87 u: Tensor) -> Tensor: 116 u: Tensor) -> Tensor:
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| D | complex_operators.py | 232 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 233 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 424 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 425 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 651 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 652 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 775 gamma_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', 776 beta_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 777 moving_mean_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 778 moving_var_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', [all …]
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| D | _complex_dense_impl.py | 60 real: Tensor, 61 imag: Tensor) -> Tuple[Tensor, Tensor]: 115 real: Tensor, 116 imag: Tensor) -> Tuple[Tensor, Tensor]:
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| D | _complex_conv_impl.py | 67 real: Tensor, 68 imag: Tensor, 133 real: Tensor, 134 imag: Tensor, 198 weight_init: Union[Tensor, str, Initializer, numbers.Number], 209 real: Tensor, 210 imag: Tensor,
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| /third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/hypercomplex/dual/ |
| D | _dual_bn_impl.py | 49 u_x: Tensor, 50 u_y: Tensor, 51 scale_x: Tensor, 52 scale_y: Tensor, 53 shift_x: Tensor, 54 shift_y: Tensor) -> Tuple[Tensor, Tensor]: 86 def get_norm(self, u: Tensor) -> Tensor: 117 def get_square_norm(self, u: Tensor) -> Tensor:
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| D | dual_operators.py | 206 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 207 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 358 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 359 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros') -> None: 549 weight_init: Union[Tensor, str, Initializer, numbers.Number] = 'normal', 550 bias_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 652 gamma_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', 653 beta_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 654 moving_mean_init: Union[Tensor, str, Initializer, numbers.Number] = 'zeros', 655 moving_var_init: Union[Tensor, str, Initializer, numbers.Number] = 'ones', [all …]
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| D | _dual_conv_impl.py | 66 real: Tensor, 67 dual: Tensor, 127 weight_init: Union[Tensor, str, Initializer, numbers.Number], 138 real: Tensor, 139 dual: Tensor,
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| D | _dual_dense_impl.py | 61 real: Tensor, 62 dual: Tensor) -> Tuple[Tensor, Tensor]:
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| /third_party/mindspore/mindspore-src/source/mindspore/core/ir/ |
| D | tensor.cc | 138 Tensor::Tensor(const Tensor &tensor) in Tensor() function in mindspore::tensor::Tensor 150 Tensor::Tensor(const Tensor &tensor, TypeId data_type) in Tensor() function in mindspore::tensor::Tensor 162 Tensor::Tensor(const BaseTensor &tensor, TypeId data_type) : BaseTensor(tensor, data_type) {} in Tensor() function in mindspore::tensor::Tensor 164 Tensor::Tensor(const BaseTensor &base_tensor) : BaseTensor(base_tensor) {} in Tensor() function in mindspore::tensor::Tensor 188 Tensor::Tensor(TypeId data_type, const ShapeVector &shape, TensorDataPtr data) : BaseTensor(data_ty… in Tensor() function in mindspore::tensor::Tensor 190 Tensor::Tensor(TypeId data_type, const ShapeVector &shape) : BaseTensor(data_type, shape) {} in Tensor() function in mindspore::tensor::Tensor 192 Tensor::Tensor(TypeId data_type, const ShapeVector &shape, void *data, size_t data_len) in Tensor() function in mindspore::tensor::Tensor 195 Tensor::Tensor(TypeId data_type, const ShapeVector &shape, void *data, TypeId src_data_type) in Tensor() function in mindspore::tensor::Tensor 198 Tensor::Tensor(const std::vector<int64_t> &input, const TypePtr &data_type) : BaseTensor(input, dat… in Tensor() function in mindspore::tensor::Tensor 200 Tensor::Tensor(const std::vector<int32_t> &input, const TypePtr &data_type) : BaseTensor(input, dat… in Tensor() function in mindspore::tensor::Tensor [all …]
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| /third_party/mindspore/mindspore-src/source/mindspore/python/mindspore/ops/function/ |
| D | sparse_func.py | 107 def coalesce(x_indices: Tensor, x_values: Tensor, x_shape: Tensor) -> Tuple[Tensor, Tensor, Tensor]: 169 def csr_div(x: CSRTensor, y: Tensor) -> Tensor: 203 def csr_mul(x: CSRTensor, y: Tensor) -> CSRTensor: 228 def csr_mv(csr_tensor: CSRTensor, dense: Tensor) -> Tensor: 446 def dense_to_sparse_coo(tensor: Tensor) -> COOTensor: 492 def dense_to_sparse_csr(tensor: Tensor) -> CSRTensor: 656 def coo_add(x1: COOTensor, x2: COOTensor, thresh: Tensor) -> COOTensor: 774 def csr_add(a: CSRTensor, b: CSRTensor, alpha: Tensor, beta: Tensor) -> CSRTensor:
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| /third_party/rust/rust/tests/ui/const-generics/issues/ |
| D | issue-83288.rs | 43 pub struct Tensor<I: Indices<N>, const N: usize> struct 51 impl<I: Indices<N>, J: Indices<N>, const N: usize> Mul<Tensor<J, N>> for Tensor<I, N> implementation
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| /third_party/mindspore/mindspore-src/source/mindspore/lite/src/litert/ |
| D | mindrt_executor.h | 34 explicit MindrtExecutor(std::unordered_map<Tensor *, Tensor *> *output_map, in MindrtExecutor()
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| /third_party/mindspore/mindspore-src/source/tests/st/rewrite/ |
| D | models.py | 27 def construct(self, x: Optional[Tensor]): 40 def no_cell_func(self, x: Optional[Tensor]): 63 def class_var_func(self, x: Optional[Tensor]):
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