| /external/executorch/backends/cadence/runtime/ |
| D | utils.py | 17 def distance(fn: Callable[[np.ndarray, np.ndarray], float]) -> Callable[
31 a: Union[np.ndarray, torch.Tensor],
33 b: Union[np.ndarray, torch.Tensor],
72 def rms(a: np.ndarray, b: np.ndarray) -> float:
78 def max_abs_diff(a: np.ndarray, b: np.ndarray) -> float:
84 def max_rel_diff(x: np.ndarray, x_ref: np.ndarray) -> float:
89 def to_np_arr_fp64(x: Union[np.ndarray, torch.Tensor]) -> np.ndarray:
100 predicted: Union[np.ndarray, torch.Tensor],
102 ground_truth: Union[np.ndarray, torch.Tensor],
|
| D | runtime.py | 227 def to_nd_array(v: Union[bool, numbers.Number, ndarray, torch.Tensor]) -> np.ndarray: argument
|
| /external/libopus/dnn/torch/weight-exchange/wexchange/c_export/ |
| D | common.py | 196 weight : np.ndarray,
197 bias : np.ndarray,
198 scale : np.ndarray = None,
263 weight : np.ndarray,
264 bias : np.ndarray,
281 weight : np.ndarray,
282 bias : np.ndarray,
306 weight : np.ndarray,
307 bias : np.ndarray,
330 weight : np.ndarray,
[all …]
|
| /external/armnn/python/pyarmnn/examples/common/ |
| D | cv_utils.py | 15 def preprocess(frame: np.ndarray, input_data_type, input_data_shape: tuple, is_normalised: bool,
55 def resize_with_aspect_ratio(frame: np.ndarray, input_data_shape: tuple):
153 def draw_bounding_boxes(frame: np.ndarray, detections: list, resize_factor, labels: dict):
199 def crop_bounding_box_object(input_frame: np.ndarray, x_min: float, y_min: float, x_max: float, y_m…
|
| /external/tensorflow/tensorflow/lite/tools/optimize/debugging/python/ |
| D | debugger.py | 62 Callable[[np.ndarray],
65 str, Callable[[Sequence[np.ndarray], Sequence[np.ndarray]],
135 [], Iterable[Sequence[np.ndarray]]]] = None,
430 tensor_data: Sequence[np.ndarray],
|
| /external/tensorflow/tensorflow/python/tpu/ |
| D | device_assignment.py | 65 def __init__(self, topology: Topology, core_assignment: np.ndarray):
175 computation_shape: Optional[np.ndarray] = None,
176 computation_stride: Optional[np.ndarray] = None,
334 computation_shape: Optional[np.ndarray] = None,
335 computation_stride: Optional[np.ndarray] = None,
|
| /external/armnn/python/pyarmnn/examples/object_detection/ |
| D | style_transfer.py | 11 def style_transfer_postprocess(preprocessed_frame: np.ndarray, image_shape: tuple):
33 def create_stylized_detection(style_transfer_executor, style_transfer_class, frame: np.ndarray,
73 style_image: np.ndarray, backends: list, delegate_path: str):
|
| D | ssd.py | 12 def ssd_processing(output: np.ndarray, confidence_threshold=0.60):
|
| D | yolo.py | 47 def yolo_processing(output: np.ndarray, confidence_threshold=0.40, iou_threshold=0.40):
|
| /external/armnn/python/pyarmnn/src/pyarmnn/_tensor/ |
| D | const_tensor.py | 118 def __check_size(data: np.ndarray, num_bytes: int, num_elements: int):
141 …ef __create_memory_area(self, data_type: int, num_bytes: int, num_elements: int, data: np.ndarray):
|
| D | workload_tensors.py | 17 input_data: List[np.ndarray]) -> List[Tuple[int, ConstTensor]]:
|
| /external/tensorflow/tensorflow/python/ops/numpy_ops/ |
| D | np_arrays.py | 48 ndarray = ops.Tensor variable
|
| /external/armnn/python/pyarmnn/examples/keyword_spotting/ |
| D | audio_utils.py | 9 def decode(model_output: np.ndarray, labels: dict) -> list:
|
| /external/tensorflow/tensorflow/compiler/xla/python_api/ |
| D | xla_literal.py | 60 def _ConvertNumpyArrayToLiteral(ndarray): argument
|
| D | xla_shape.py | 96 def _CreateShapeFromNumpy(ndarray): # pylint: disable=invalid-name argument
|
| /external/armnn/python/pyarmnn/examples/speech_recognition/ |
| D | audio_utils.py | 9 def decode(model_output: np.ndarray, labels: dict) -> str:
|
| /external/tensorflow/tensorflow/python/compiler/tensorrt/model_tests/ |
| D | model_handler.py | 176 output_tensors: Sequence[np.ndarray],
299 inputs: Optional[Mapping[str, np.ndarray]] = None,
424 calibration_inputs: Optional[Mapping[str, np.ndarray]] = None,
471 calibration_inputs: Optional[Mapping[str, np.ndarray]] = None,
492 inputs: Optional[Mapping[str, np.ndarray]] = None,
|
| /external/pytorch/torch/testing/_internal/opinfo/ |
| D | utils.py | 209 def wrapper(x: np.ndarray, *args, **kwargs):
|
| /external/tensorflow/tensorflow/dtensor/python/ |
| D | layout.py | 79 global_device_ids: np.ndarray,
697 def unravel(self, unpacked_tensors: List[np.ndarray]) -> np.ndarray:
|
| /external/federated-compute/fcp/artifact_building/ |
| D | checkpoint_utils.py | 459 np.ndarray,
|
| /external/python/cpython3/Lib/test/test_capi/ |
| D | test_number.py | 15 ndarray = None variable
|
| /external/tensorflow/tensorflow/java/src/main/native/ |
| D | tensor_jni.cc | 190 jobjectArray ndarray = static_cast<jobjectArray>(src); in writeNDArray() local
209 jobjectArray ndarray = static_cast<jobjectArray>(dst); in readNDArray() local
|
| /external/tensorflow/tensorflow/lite/java/src/main/native/ |
| D | tensor_jni.cc | 293 jobjectArray ndarray = static_cast<jobjectArray>(dst); in ReadMultiDimensionalArray() local
348 jobjectArray ndarray = static_cast<jobjectArray>(src); in WriteMultiDimensionalArray() local
|
| /external/tensorflow/tensorflow/python/lib/core/ |
| D | ndarray_tensor.cc | 479 Status NdarrayToTensor(TFE_Context* ctx, PyObject* ndarray, in NdarrayToTensor()
|
| /external/toolchain-utils/cros_utils/ |
| D | tabulator.py | 78 sample: Union[np.ndarray, list], baseline: Union[np.ndarray, list]
|