deepmd._vendors.ndtensorflow._namespace#
Attributes#
Classes#
User-facing TensorFlow-backed array object. | |
Functions#
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Module Contents#
- class deepmd._vendors.ndtensorflow._namespace.Array(tensor: Any | None = None, /)[source]#
Bases:
tf.experimental.ExtensionTypeUser-facing TensorFlow-backed array object.
The object owns the Array API surface. TensorFlow tensors remain plain TensorFlow tensors; no TensorFlow class is patched.
- __dlpack__(*, stream: int | Any | None = None, max_version: tuple[int, int] | None = None, dl_device: tuple[int, int] | None = None, copy: bool | None = None) Any[source]#
- __dlpack_device__() tuple[DLDeviceType, int][source]#
- __iter__() collections.abc.Iterator[Array][source]#
- deepmd._vendors.ndtensorflow._namespace.result_type(*arrays_and_dtypes: deepmd._vendors.ndtensorflow._array.Array | tf.Tensor | DType | complex) DType[source]#
- deepmd._vendors.ndtensorflow._namespace.asarray(obj: Any, /, *, dtype: DType | None = None, device: Device | None = None, copy: bool | None = None, **kwargs: Any) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.astype(x: deepmd._vendors.ndtensorflow._array.Array, dtype: DType, /, *, copy: bool = True, device: Device | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.from_dlpack(x: Any, /, *, device: Device | None = None, copy: bool | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.arange(start: float, /, stop: float | None = None, step: float = 1, *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.empty(shape: int | tuple[int, ...], *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.empty_like(x: deepmd._vendors.ndtensorflow._array.Array, /, *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.eye(n_rows: int, n_cols: int | None = None, /, *, k: int = 0, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.full(shape: int | tuple[int, ...], fill_value: complex, *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.full_like(x: deepmd._vendors.ndtensorflow._array.Array, /, fill_value: complex, *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.linspace(start: float, stop: float, /, num: int, *, dtype: DType | None = None, device: Device | None = None, endpoint: bool = True, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.ones(shape: int | tuple[int, ...], *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.ones_like(x: deepmd._vendors.ndtensorflow._array.Array, /, *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.zeros(shape: int | tuple[int, ...], *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.zeros_like(x: deepmd._vendors.ndtensorflow._array.Array, /, *, dtype: DType | None = None, device: Device | None = None, **kwargs: object) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.tril(x: deepmd._vendors.ndtensorflow._array.Array, /, *, k: int = 0) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.triu(x: deepmd._vendors.ndtensorflow._array.Array, /, *, k: int = 0) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.can_cast(from_: DType | deepmd._vendors.ndtensorflow._array.Array, to: DType, /) bool[source]#
- deepmd._vendors.ndtensorflow._namespace.isdtype(dtype: DType, kind: DType | str | tuple[DType | str, ...], *, _tuple: bool = True) bool[source]#
- deepmd._vendors.ndtensorflow._namespace.finfo(type_: DType | deepmd._vendors.ndtensorflow._array.Array, /) _FInfo[source]#
- deepmd._vendors.ndtensorflow._namespace.iinfo(type_: DType | deepmd._vendors.ndtensorflow._array.Array, /) _IInfo[source]#
- deepmd._vendors.ndtensorflow._namespace.abs(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.expm1(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.tanh(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.remainder(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.bitwise_and(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.bitwise_left_shift(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.bitwise_invert(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.bitwise_or(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.bitwise_right_shift(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.bitwise_xor(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.ceil(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.floor(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.trunc(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.copysign(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.hypot(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.imag(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.isfinite(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.isinf(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.isnan(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.log(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.floor_divide(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.log1p(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.log2(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.log10(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.negative(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.pow(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.logaddexp(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.nextafter(x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.real(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.reciprocal(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.round(x: deepmd._vendors.ndtensorflow._array.Array, /, *, decimals: int = 0) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.sign(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.signbit(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.clip(x: deepmd._vendors.ndtensorflow._array.Array, /, min: deepmd._vendors.ndtensorflow._array.Array | complex | None = None, max: deepmd._vendors.ndtensorflow._array.Array | complex | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.all(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.any(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.max(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.min(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.mean(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, dtype: DType | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.prod(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, dtype: DType | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.sum(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, dtype: DType | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.var(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, correction: float = 0.0, dtype: DType | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.std(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, correction: float = 0.0, dtype: DType | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.cumulative_sum(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | None = None, dtype: DType | None = None, include_initial: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.cumulative_prod(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | None = None, dtype: DType | None = None, include_initial: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.diff(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int = -1, n: int = 1, prepend: deepmd._vendors.ndtensorflow._array.Array | None = None, append: deepmd._vendors.ndtensorflow._array.Array | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.argsort(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int = -1, descending: bool = False, stable: bool = True) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.sort(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int = -1, descending: bool = False, stable: bool = True) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.take(x: deepmd._vendors.ndtensorflow._array.Array, indices: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.take_along_axis(x: deepmd._vendors.ndtensorflow._array.Array, indices: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int = -1) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.matmul(x1: deepmd._vendors.ndtensorflow._array.Array, x2: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.matrix_transpose(x: deepmd._vendors.ndtensorflow._array.Array, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.tensordot(x1: deepmd._vendors.ndtensorflow._array.Array, x2: deepmd._vendors.ndtensorflow._array.Array, /, *, axes: int | tuple[collections.abc.Sequence[int], collections.abc.Sequence[int]] = 2) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.vecdot(x1: deepmd._vendors.ndtensorflow._array.Array, x2: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int = -1) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.broadcast_shapes(*shapes: tuple[int, ...]) tuple[int, ...][source]#
- deepmd._vendors.ndtensorflow._namespace.broadcast_to(x: deepmd._vendors.ndtensorflow._array.Array, /, shape: tuple[int, ...]) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.broadcast_arrays(*arrays: deepmd._vendors.ndtensorflow._array.Array) tuple[deepmd._vendors.ndtensorflow._array.Array, ...][source]#
- deepmd._vendors.ndtensorflow._namespace.concat(arrays: tuple[deepmd._vendors.ndtensorflow._array.Array, ...] | list[deepmd._vendors.ndtensorflow._array.Array], /, *, axis: int | None = 0) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.expand_dims(x: deepmd._vendors.ndtensorflow._array.Array, /, axis: int | tuple[int, ...]) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.flip(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.meshgrid(*arrays: deepmd._vendors.ndtensorflow._array.Array, indexing: Literal['xy', 'ij'] = 'xy') tuple[deepmd._vendors.ndtensorflow._array.Array, ...][source]#
- deepmd._vendors.ndtensorflow._namespace.moveaxis(x: deepmd._vendors.ndtensorflow._array.Array, /, source: int | collections.abc.Sequence[int], destination: int | collections.abc.Sequence[int]) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.permute_dims(x: deepmd._vendors.ndtensorflow._array.Array, /, axes: tuple[int, ...]) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.transpose(x: deepmd._vendors.ndtensorflow._array.Array, /, axes: tuple[int, ...] | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.einsum(subscripts: str, *operands: deepmd._vendors.ndtensorflow._array.Array) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.repeat(x: deepmd._vendors.ndtensorflow._array.Array, repeats: int | deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.reshape(x: deepmd._vendors.ndtensorflow._array.Array, /, shape: tuple[int, ...], *, copy: bool | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.roll(x: deepmd._vendors.ndtensorflow._array.Array, /, shift: int | tuple[int, ...], axis: int | tuple[int, ...] | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.squeeze(x: deepmd._vendors.ndtensorflow._array.Array, /, axis: int | tuple[int, ...]) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.stack(arrays: tuple[deepmd._vendors.ndtensorflow._array.Array, ...] | list[deepmd._vendors.ndtensorflow._array.Array], /, *, axis: int = 0) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.tile(x: deepmd._vendors.ndtensorflow._array.Array, repetitions: tuple[int, ...], /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.unstack(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int = 0) tuple[deepmd._vendors.ndtensorflow._array.Array, ...][source]#
- deepmd._vendors.ndtensorflow._namespace.argmax(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.argmin(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.count_nonzero(x: deepmd._vendors.ndtensorflow._array.Array, /, *, axis: int | tuple[int, ...] | None = None, keepdims: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.nonzero(x: deepmd._vendors.ndtensorflow._array.Array, /) tuple[deepmd._vendors.ndtensorflow._array.Array, ...][source]#
- deepmd._vendors.ndtensorflow._namespace.searchsorted(x1: deepmd._vendors.ndtensorflow._array.Array, x2: deepmd._vendors.ndtensorflow._array.Array, /, *, side: Literal['left', 'right'] = 'left', sorter: deepmd._vendors.ndtensorflow._array.Array | None = None) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.where(condition: deepmd._vendors.ndtensorflow._array.Array, x1: Any, x2: Any, /) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.unique_all(x: deepmd._vendors.ndtensorflow._array.Array) UniqueAllResult[source]#
- deepmd._vendors.ndtensorflow._namespace.unique_counts(x: deepmd._vendors.ndtensorflow._array.Array) UniqueCountsResult[source]#
- deepmd._vendors.ndtensorflow._namespace.unique_inverse(x: deepmd._vendors.ndtensorflow._array.Array) UniqueInverseResult[source]#
- deepmd._vendors.ndtensorflow._namespace.unique_values(x: deepmd._vendors.ndtensorflow._array.Array) deepmd._vendors.ndtensorflow._array.Array[source]#
- deepmd._vendors.ndtensorflow._namespace.isin(x1: deepmd._vendors.ndtensorflow._array.Array | int, x2: deepmd._vendors.ndtensorflow._array.Array | int, /, *, invert: bool = False) deepmd._vendors.ndtensorflow._array.Array[source]#