Trait BoolTensorOps

pub trait BoolTensorOps<B>
where
    B: Backend,
{
    // Required methods
    fn bool_empty(
        shape: Shape,
        device: &<B as Backend>::Device,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_zeros(
        shape: Shape,
        device: &<B as Backend>::Device,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_ones(
        shape: Shape,
        device: &<B as Backend>::Device,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_into_data(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> impl Future<Output = TensorData> + Send;
    fn bool_from_data(
        data: TensorData,
        device: &<B as Backend>::Device,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_into_int(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::IntTensorPrimitive;
    fn bool_into_float(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::FloatTensorPrimitive;
    fn bool_device(
        tensor: &<B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::Device;
    fn bool_to_device(
        tensor: <B as Backend>::BoolTensorPrimitive,
        device: &<B as Backend>::Device,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_reshape(
        tensor: <B as Backend>::BoolTensorPrimitive,
        shape: Shape,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_slice(
        tensor: <B as Backend>::BoolTensorPrimitive,
        slices: &[Slice],
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_slice_assign(
        tensor: <B as Backend>::BoolTensorPrimitive,
        slices: &[Slice],
        value: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_equal(
        lhs: <B as Backend>::BoolTensorPrimitive,
        rhs: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_not(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_and(
        tensor: <B as Backend>::BoolTensorPrimitive,
        rhs: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_or(
        tensor: <B as Backend>::BoolTensorPrimitive,
        rhs: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_swap_dims(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim1: usize,
        dim2: usize,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_permute(
        tensor: <B as Backend>::BoolTensorPrimitive,
        axes: &[usize],
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_flip(
        tensor: <B as Backend>::BoolTensorPrimitive,
        axes: &[usize],
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_expand(
        tensor: <B as Backend>::BoolTensorPrimitive,
        shape: Shape,
    ) -> <B as Backend>::BoolTensorPrimitive;
    fn bool_unfold(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim: usize,
        size: usize,
        step: usize,
    ) -> <B as Backend>::BoolTensorPrimitive;

    // Provided methods
    fn bool_select(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim: usize,
        indices: <B as Backend>::IntTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_select_assign(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim: usize,
        indices: <B as Backend>::IntTensorPrimitive,
        value: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_repeat_dim(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim: usize,
        times: usize,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_cat(
        tensors: Vec<<B as Backend>::BoolTensorPrimitive>,
        dim: usize,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_not_equal(
        lhs: <B as Backend>::BoolTensorPrimitive,
        rhs: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_xor(
        lhs: <B as Backend>::BoolTensorPrimitive,
        rhs: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_transpose(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_any(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_any_dim(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim: usize,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_all(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_all_dim(
        tensor: <B as Backend>::BoolTensorPrimitive,
        dim: usize,
    ) -> <B as Backend>::BoolTensorPrimitive { ... }
    fn bool_argwhere(
        tensor: <B as Backend>::BoolTensorPrimitive,
    ) -> impl Future<Output = <B as Backend>::IntTensorPrimitive> + Send + 'static { ... }
}

Bool Tensor API for basic operations, see tensor for documentation on each function.

Required Methods

fn bool_empty( shape: Shape, device: &<B as Backend>::Device, ) -> <B as Backend>::BoolTensorPrimitive

Creates a new bool tensor.

Arguments

• shape - The shape of the tensor.
• device - The device to create the tensor on.

Returns

The boolean tensor with the given shape.

fn bool_zeros( shape: Shape, device: &<B as Backend>::Device, ) -> <B as Backend>::BoolTensorPrimitive

Creates a new bool tensor filled false.

Arguments

• shape - The shape of the tensor.
• device - The device to create the tensor on.

Returns

The boolean tensor filled with false.

fn bool_ones( shape: Shape, device: &<B as Backend>::Device, ) -> <B as Backend>::BoolTensorPrimitive

Creates a new bool tensor filled true.

Arguments

• shape - The shape of the tensor.
• device - The device to create the tensor on.

Returns

The boolean tensor filled with true.

fn bool_into_data( tensor: <B as Backend>::BoolTensorPrimitive, ) -> impl Future<Output = TensorData> + Send

Converts the tensor to a data structure.

Arguments

• tensor - The tensor.

Returns

The data structure with the tensor’s data.

fn bool_from_data( data: TensorData, device: &<B as Backend>::Device, ) -> <B as Backend>::BoolTensorPrimitive

Creates a tensor from the data structure.

Arguments

• data - The data structure.
• device - The device to create the tensor on.

Returns

The tensor with the data.

fn bool_into_int( tensor: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::IntTensorPrimitive

Converts bool tensor to int tensor.

Arguments

• tensor - The tensor.

Returns

The int tensor with the same data as the bool tensor.

fn bool_into_float( tensor: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::FloatTensorPrimitive

Converts bool tensor to float tensor.

Arguments

• tensor - The tensor.

Returns

The float tensor with the same data as the bool tensor.

fn bool_device( tensor: &<B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::Device

Gets the device of the tensor.

Arguments

• tensor - The tensor.

Returns

The device of the tensor.

fn bool_to_device( tensor: <B as Backend>::BoolTensorPrimitive, device: &<B as Backend>::Device, ) -> <B as Backend>::BoolTensorPrimitive

Moves the tensor to the device.

fn bool_reshape( tensor: <B as Backend>::BoolTensorPrimitive, shape: Shape, ) -> <B as Backend>::BoolTensorPrimitive

Reshapes the tensor.

Arguments

• tensor - The tensor.
• shape - The new shape.

Returns

The tensor with the new shape.

fn bool_slice( tensor: <B as Backend>::BoolTensorPrimitive, slices: &[Slice], ) -> <B as Backend>::BoolTensorPrimitive

Gets the values from the tensor for the given ranges.

Arguments

• tensor - The tensor.
• slices - The slices specifying ranges and steps for each dimension.

Returns

The tensor with the values for the given slices.

fn bool_slice_assign( tensor: <B as Backend>::BoolTensorPrimitive, slices: &[Slice], value: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Sets the values in the tensor for the given ranges.

Arguments

• tensor - The tensor.
• ranges - The ranges to set the values for.
• value - The values to set.

Returns

The tensor with the values set for the given ranges.

fn bool_equal( lhs: <B as Backend>::BoolTensorPrimitive, rhs: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Equates the two tensors.

Arguments

• lhs - The left hand side tensor.
• rhs - The right hand side tensor.

Returns

The tensor with the result of the equate.

fn bool_not( tensor: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Inverses boolean values.

Arguments

• tensor - The tensor.

Returns

The tensor with the result of the negation.

fn bool_and( tensor: <B as Backend>::BoolTensorPrimitive, rhs: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Executes the logical and (&&) operation on two boolean tensors.

Arguments

• lhs - The left hand side tensor.
• rhs - The right hand side tensor.

Returns

The tensor with the result of the logical and.

fn bool_or( tensor: <B as Backend>::BoolTensorPrimitive, rhs: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Executes the logical or (||) operation on two boolean tensors.

Arguments

• lhs - The left hand side tensor.
• rhs - The right hand side tensor.

Returns

The tensor with the result of the logical or.

fn bool_swap_dims( tensor: <B as Backend>::BoolTensorPrimitive, dim1: usize, dim2: usize, ) -> <B as Backend>::BoolTensorPrimitive

Swaps two dimensions of a bool tensor.

Arguments

• tensor - The tensor to swap the dimensions of.
• dim1 - The first dimension to swap.
• dim2 - The second dimension to swap.

Returns

The tensor with the dimensions swapped.

fn bool_permute( tensor: <B as Backend>::BoolTensorPrimitive, axes: &[usize], ) -> <B as Backend>::BoolTensorPrimitive

Permutes the dimensions of a tensor.

Arguments

• tensor - The tensor to permute the dimensions of.
• axes - The new order of the dimensions.

Returns

The tensor with the dimensions permuted.

fn bool_flip( tensor: <B as Backend>::BoolTensorPrimitive, axes: &[usize], ) -> <B as Backend>::BoolTensorPrimitive

Reverse the order of elements in a tensor along the given axes.

Arguments

• tensor - The tensor to reverse.
• axes - The axes to reverse.

The tensor with the elements reversed.

fn bool_expand( tensor: <B as Backend>::BoolTensorPrimitive, shape: Shape, ) -> <B as Backend>::BoolTensorPrimitive

Broadcasts the bool tensor to the given shape.

fn bool_unfold( tensor: <B as Backend>::BoolTensorPrimitive, dim: usize, size: usize, step: usize, ) -> <B as Backend>::BoolTensorPrimitive

Unfold windows along a dimension.

Returns a view of the tensor with all complete windows of size size in dimension dim; where windows are advanced by step at each index.

The number of windows is max(0, (shape[dim] - size).ceil_div(step)).

Arguments

• tensor - The input tensor to unfold; of shape [pre=..., dim shape, post=...]
• dim - the selected dim.
• size - the size of each unfolded window.
• step - the step between each window.

Returns

A tensor view with shape [pre=..., windows, size, post=...].

Provided Methods

fn bool_select( tensor: <B as Backend>::BoolTensorPrimitive, dim: usize, indices: <B as Backend>::IntTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Select tensor elements along the given dimension corresponding to the given indices.

Arguments

• tensor - The tensor to select from.
• dim - The dimension to select from.
• indices - The indices of the elements to select.

Returns

The tensor with the selected elements.

fn bool_select_assign( tensor: <B as Backend>::BoolTensorPrimitive, dim: usize, indices: <B as Backend>::IntTensorPrimitive, value: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Assign the selected elements along the given dimension corresponding to the given indices to the given value.

Arguments

• tensor - The tensor to assign the values to.
• dim - The dimension to select from.
• indices - The indices of the elements to assign.
• value - The values to assign.

Returns

The tensor with the assigned values.

fn bool_repeat_dim( tensor: <B as Backend>::BoolTensorPrimitive, dim: usize, times: usize, ) -> <B as Backend>::BoolTensorPrimitive

Repeats one dimension of the tensor a given number of times along that dimension.

Arguments

• tensor - The tensor.
• dim - The dimension to repeat.
• times - The number of times to repeat the dimension.

Returns

The tensor with the dimension repeated.

fn bool_cat( tensors: Vec<<B as Backend>::BoolTensorPrimitive>, dim: usize, ) -> <B as Backend>::BoolTensorPrimitive

Concatenates the tensors along the given dimension.

Arguments

• tensors - The tensors to concatenate.
• dim - The dimension to concatenate along.

Returns

The tensor with the tensors concatenated along the given dimension.

fn bool_not_equal( lhs: <B as Backend>::BoolTensorPrimitive, rhs: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Element-wise non-equality comparison.

Arguments

• lhs - The left hand side tensor.
• rhs - The right hand side tensor.

Returns

The tensor with the result of the comparison.

fn bool_xor( lhs: <B as Backend>::BoolTensorPrimitive, rhs: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Element-wise exclusive or.

Arguments

• lhs - The left hand side tensor.
• rhs - The right hand side tensor.

Returns

The tensor with the result of the comparison.

fn bool_transpose( tensor: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Transposes a bool tensor.

Arguments

• tensor - The tensor to transpose.

Returns

The transposed tensor.

fn bool_any( tensor: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Tests if any element in the boolean tensor evaluates to True.

Arguments

• tensor - The tensor to test.

Returns

A boolean tensor with a single element, True if any element in the tensor is True, False otherwise.

fn bool_any_dim( tensor: <B as Backend>::BoolTensorPrimitive, dim: usize, ) -> <B as Backend>::BoolTensorPrimitive

Tests if any element in the boolean tensor evaluates to True along a given dimension dim.

Arguments

• tensor - The tensor to test.
• dim - The axis along which to test.

Returns

A boolean tensor Tensor<B, D, Bool> with the same size as input tensor, except in the dim axis where the size is 1. The elem in the dim axis is True if any element along this dim in the input evaluates to True, False otherwise.

fn bool_all( tensor: <B as Backend>::BoolTensorPrimitive, ) -> <B as Backend>::BoolTensorPrimitive

Tests if all elements in the boolean tensor evaluate to True.

Arguments

• tensor - The tensor to test.

Returns

A boolean tensor Tensor<B, 1, Bool> with a single element, True if all elements in the input tensor evaluate to True, False otherwise.

fn bool_all_dim( tensor: <B as Backend>::BoolTensorPrimitive, dim: usize, ) -> <B as Backend>::BoolTensorPrimitive

Tests if all elements in the boolean tensor evaluate to True along a given dimension dim.

Arguments

• tensor - The tensor to test.
• dim - The axis along which to test.

Returns

A boolean tensor Tensor<B, D, Bool> with the same size as input tensor, except in the dim axis where the size is 1. The elem in the dim axis is True if all elements along this dim in the input evaluates to True, False otherwise.

fn bool_argwhere( tensor: <B as Backend>::BoolTensorPrimitive, ) -> impl Future<Output = <B as Backend>::IntTensorPrimitive> + Send + 'static

Compute the indices of the elements that are non-zero, grouped by element.

Arguments

• tensor - The input tensor.

Returns

A 2D tensor containing the indices of all non-zero elements of the given tensor. Each row contains the indices of a non-zero element.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementations on Foreign Types

impl<E, I, Q> BoolTensorOps<NdArray<E, I, Q>> for NdArray<E, I, Q>

where E: FloatNdArrayElement, I: IntNdArrayElement, Q: QuantElement, NdArrayTensor: From<ArrayBase<OwnedArcRepr<E>, Dim<IxDynImpl>>> + From<ArrayBase<OwnedArcRepr<I>, Dim<IxDynImpl>>>,

fn bool_from_data(data: TensorData, _device: &NdArrayDevice) -> NdArrayTensor

async fn bool_into_data(tensor: NdArrayTensor) -> TensorData

fn bool_to_device( tensor: NdArrayTensor, _device: &NdArrayDevice, ) -> NdArrayTensor

fn bool_reshape(tensor: NdArrayTensor, shape: Shape) -> NdArrayTensor

fn bool_slice(tensor: NdArrayTensor, slices: &[Slice]) -> NdArrayTensor

fn bool_into_int(tensor: NdArrayTensor) -> NdArrayTensor

fn bool_device(_tensor: &NdArrayTensor) -> <NdArray<E> as Backend>::Device

fn bool_empty( shape: Shape, _device: &<NdArray<E> as Backend>::Device, ) -> NdArrayTensor

fn bool_zeros( shape: Shape, _device: &<NdArray<E> as Backend>::Device, ) -> NdArrayTensor

fn bool_ones( shape: Shape, _device: &<NdArray<E> as Backend>::Device, ) -> NdArrayTensor

fn bool_slice_assign( tensor: NdArrayTensor, slices: &[Slice], value: NdArrayTensor, ) -> NdArrayTensor

fn bool_cat(tensors: Vec<NdArrayTensor>, dim: usize) -> NdArrayTensor

fn bool_equal(lhs: NdArrayTensor, rhs: NdArrayTensor) -> NdArrayTensor

fn bool_not(tensor: NdArrayTensor) -> NdArrayTensor

fn bool_and(lhs: NdArrayTensor, rhs: NdArrayTensor) -> NdArrayTensor

fn bool_or(lhs: NdArrayTensor, rhs: NdArrayTensor) -> NdArrayTensor

fn bool_into_float( tensor: NdArrayTensor, ) -> <NdArray<E, I, Q> as Backend>::FloatTensorPrimitive

fn bool_swap_dims( tensor: NdArrayTensor, dim1: usize, dim2: usize, ) -> NdArrayTensor

fn bool_permute(tensor: NdArrayTensor, axes: &[usize]) -> NdArrayTensor

fn bool_expand(tensor: NdArrayTensor, shape: Shape) -> NdArrayTensor

fn bool_select( tensor: NdArrayTensor, dim: usize, indices: NdArrayTensor, ) -> NdArrayTensor

fn bool_select_assign( tensor: NdArrayTensor, dim: usize, indices: NdArrayTensor, value: NdArrayTensor, ) -> NdArrayTensor

fn bool_flip(tensor: NdArrayTensor, axes: &[usize]) -> NdArrayTensor

fn bool_unfold( tensor: NdArrayTensor, dim: usize, size: usize, step: usize, ) -> NdArrayTensor

Implementors

impl<B, C> BoolTensorOps<Autodiff<B, C>> for Autodiff<B, C>

where B: Backend, C: CheckpointStrategy,