Trait FloatTensorOps

Source

pub trait FloatTensorOps<B: Backend> {
Show 113 methods    // Required methods
    fn float_from_data(data: TensorData, device: &Device<B>) -> FloatTensor<B>;
    fn float_random(
        shape: Shape,
        distribution: Distribution,
        device: &Device<B>,
    ) -> FloatTensor<B>;
    fn float_into_data(
        tensor: FloatTensor<B>,
    ) -> impl Future<Output = TensorData> + Send;
    fn float_device(tensor: &FloatTensor<B>) -> Device<B>;
    fn float_to_device(
        tensor: FloatTensor<B>,
        device: &Device<B>,
    ) -> FloatTensor<B>;
    fn float_into_int(tensor: FloatTensor<B>) -> IntTensor<B>;
    fn float_empty(
        shape: Shape,
        device: &Device<B>,
        dtype: FloatDType,
    ) -> FloatTensor<B>;
    fn float_add(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>;
    fn float_add_scalar(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> FloatTensor<B>;
    fn float_sub(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>;
    fn float_sub_scalar(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> FloatTensor<B>;
    fn float_mul(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>;
    fn float_mul_scalar(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> FloatTensor<B>;
    fn float_div(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>;
    fn float_div_scalar(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> FloatTensor<B>;
    fn float_remainder(
        lhs: FloatTensor<B>,
        rhs: FloatTensor<B>,
    ) -> FloatTensor<B>;
    fn float_remainder_scalar(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> FloatTensor<B>;
    fn float_matmul(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>;
    fn float_cross(
        lhs: FloatTensor<B>,
        rhs: FloatTensor<B>,
        dim: usize,
    ) -> FloatTensor<B>;
    fn float_recip(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_swap_dims(
        tensor: FloatTensor<B>,
        dim1: usize,
        dim2: usize,
    ) -> FloatTensor<B>;
    fn float_permute(tensor: FloatTensor<B>, axes: &[usize]) -> FloatTensor<B>;
    fn float_flip(tensor: FloatTensor<B>, axes: &[usize]) -> FloatTensor<B>;
    fn float_reshape(tensor: FloatTensor<B>, shape: Shape) -> FloatTensor<B>;
    fn float_gather(
        dim: usize,
        tensor: FloatTensor<B>,
        indices: IntTensor<B>,
    ) -> FloatTensor<B>;
    fn float_scatter(
        dim: usize,
        tensor: FloatTensor<B>,
        indices: IntTensor<B>,
        value: FloatTensor<B>,
    ) -> FloatTensor<B>;
    fn float_select(
        tensor: FloatTensor<B>,
        dim: usize,
        indices: IntTensor<B>,
    ) -> FloatTensor<B>;
    fn float_select_assign(
        tensor: FloatTensor<B>,
        dim: usize,
        indices: IntTensor<B>,
        value: FloatTensor<B>,
    ) -> FloatTensor<B>;
    fn float_slice(tensor: FloatTensor<B>, slices: &[Slice]) -> FloatTensor<B>;
    fn float_slice_assign(
        tensor: FloatTensor<B>,
        slices: &[Slice],
        value: FloatTensor<B>,
    ) -> FloatTensor<B>;
    fn float_mask_where(
        tensor: FloatTensor<B>,
        mask: BoolTensor<B>,
        value: FloatTensor<B>,
    ) -> FloatTensor<B>;
    fn float_mask_fill(
        tensor: FloatTensor<B>,
        mask: BoolTensor<B>,
        value: FloatElem<B>,
    ) -> FloatTensor<B>;
    fn float_equal(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> BoolTensor<B>;
    fn float_equal_elem(lhs: FloatTensor<B>, rhs: FloatElem<B>) -> BoolTensor<B>;
    fn float_greater(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> BoolTensor<B>;
    fn float_greater_elem(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> BoolTensor<B>;
    fn float_greater_equal(
        lhs: FloatTensor<B>,
        rhs: FloatTensor<B>,
    ) -> BoolTensor<B>;
    fn float_greater_equal_elem(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> BoolTensor<B>;
    fn float_lower(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> BoolTensor<B>;
    fn float_lower_elem(lhs: FloatTensor<B>, rhs: FloatElem<B>) -> BoolTensor<B>;
    fn float_lower_equal(
        lhs: FloatTensor<B>,
        rhs: FloatTensor<B>,
    ) -> BoolTensor<B>;
    fn float_lower_equal_elem(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> BoolTensor<B>;
    fn float_sum(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_sum_dim(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B>;
    fn float_mean_dim(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B>;
    fn float_cumsum(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B>;
    fn float_cumprod(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B>;
    fn float_cummin(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B>;
    fn float_cummax(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B>;
    fn float_cast(tensor: FloatTensor<B>, dtype: FloatDType) -> FloatTensor<B>;
    fn float_exp(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_log(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_log1p(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_powf(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>;
    fn float_powf_scalar_impl(
        tensor: FloatTensor<B>,
        value: f32,
    ) -> FloatTensor<B>;
    fn float_sqrt(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_abs(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_cos(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_sin(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_round(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_floor(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_ceil(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_trunc(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_erf(tensor: FloatTensor<B>) -> FloatTensor<B>;
    fn float_argmax(tensor: FloatTensor<B>, dim: usize) -> IntTensor<B>;
    fn float_argmin(tensor: FloatTensor<B>, dim: usize) -> IntTensor<B>;
    fn float_expand(tensor: FloatTensor<B>, shape: Shape) -> FloatTensor<B>;
    fn float_unfold(
        tensor: FloatTensor<B>,
        dim: usize,
        size: usize,
        step: usize,
    ) -> FloatTensor<B>;

    // Provided methods
    fn float_zeros(
        shape: Shape,
        device: &Device<B>,
        dtype: FloatDType,
    ) -> FloatTensor<B> { ... }
    fn float_ones(
        shape: Shape,
        device: &Device<B>,
        dtype: FloatDType,
    ) -> FloatTensor<B> { ... }
    fn float_full(
        shape: Shape,
        fill_value: FloatElem<B>,
        device: &Device<B>,
        dtype: FloatDType,
    ) -> FloatTensor<B> { ... }
    fn float_repeat_dim(
        tensor: FloatTensor<B>,
        dim: usize,
        times: usize,
    ) -> FloatTensor<B> { ... }
    fn float_clamp_min(
        tensor: FloatTensor<B>,
        min: FloatElem<B>,
    ) -> FloatTensor<B> { ... }
    fn float_clamp_max(
        tensor: FloatTensor<B>,
        max: FloatElem<B>,
    ) -> FloatTensor<B> { ... }
    fn float_clamp(
        tensor: FloatTensor<B>,
        min: FloatElem<B>,
        max: FloatElem<B>,
    ) -> FloatTensor<B> { ... }
    fn float_neg(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_transpose(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_not_equal(
        lhs: FloatTensor<B>,
        rhs: FloatTensor<B>,
    ) -> BoolTensor<B> { ... }
    fn float_not_equal_elem(
        lhs: FloatTensor<B>,
        rhs: FloatElem<B>,
    ) -> BoolTensor<B> { ... }
    fn float_detach(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_set_require_grad(
        tensor: FloatTensor<B>,
        _require_grad: bool,
    ) -> FloatTensor<B> { ... }
    fn float_is_require_grad(_tensor: &FloatTensor<B>) -> bool { ... }
    fn float_prod(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_prod_dim(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B> { ... }
    fn float_mean(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_powi(lhs: FloatTensor<B>, rhs: IntTensor<B>) -> FloatTensor<B> { ... }
    fn float_powi_scalar(lhs: FloatTensor<B>, rhs: IntElem<B>) -> FloatTensor<B> { ... }
    fn float_powi_scalar_impl(
        lhs: FloatTensor<B>,
        rhs: IntElem<B>,
    ) -> FloatTensor<B> { ... }
    fn float_powf_scalar(tensor: FloatTensor<B>, value: f32) -> FloatTensor<B> { ... }
    fn float_tan(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_cosh(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_sinh(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_tanh(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_cat(tensors: Vec<FloatTensor<B>>, dim: usize) -> FloatTensor<B> { ... }
    fn float_max(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_max_dim(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B> { ... }
    fn float_max_dim_with_indices(
        tensor: FloatTensor<B>,
        dim: usize,
    ) -> (FloatTensor<B>, IntTensor<B>) { ... }
    fn float_min(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_min_dim(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B> { ... }
    fn float_min_dim_with_indices(
        tensor: FloatTensor<B>,
        dim: usize,
    ) -> (FloatTensor<B>, IntTensor<B>) { ... }
    fn float_max_abs(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_max_abs_dim(tensor: FloatTensor<B>, dim: usize) -> FloatTensor<B> { ... }
    fn float_any(tensor: FloatTensor<B>) -> BoolTensor<B> { ... }
    fn float_any_dim(tensor: FloatTensor<B>, dim: usize) -> BoolTensor<B> { ... }
    fn float_all(tensor: FloatTensor<B>) -> BoolTensor<B> { ... }
    fn float_all_dim(tensor: FloatTensor<B>, dim: usize) -> BoolTensor<B> { ... }
    fn float_sign(tensor: FloatTensor<B>) -> FloatTensor<B> { ... }
    fn float_sort(
        tensor: FloatTensor<B>,
        dim: usize,
        descending: bool,
    ) -> FloatTensor<B> { ... }
    fn float_sort_with_indices(
        tensor: FloatTensor<B>,
        dim: usize,
        descending: bool,
    ) -> (FloatTensor<B>, IntTensor<B>) { ... }
    fn float_argsort(
        tensor: FloatTensor<B>,
        dim: usize,
        descending: bool,
    ) -> IntTensor<B> { ... }
    fn float_grid_sample_2d(
        tensor: FloatTensor<B>,
        grid: FloatTensor<B>,
        method: InterpolateMode,
    ) -> FloatTensor<B> { ... }
    fn float_is_nan(tensor: FloatTensor<B>) -> BoolTensor<B> { ... }
    fn float_is_inf(tensor: FloatTensor<B>) -> BoolTensor<B> { ... }
}

Expand description

Operations on float tensors.

Required Methods§

Source

fn float_from_data(data: TensorData, device: &Device) -> FloatTensor

Creates a new tensor from the data structure.

§Arguments

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

§Returns

The tensor with the given data.

Source

fn float_random( shape: Shape, distribution: Distribution, device: &Device, ) -> FloatTensor

Creates a new tensor with random values.

§Arguments

shape - The shape of the tensor.
distribution - The distribution to sample from.
device - The device to create the tensor on.

§Returns

The tensor with the given shape and random values.

Source

fn float_into_data( tensor: FloatTensor, ) -> 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.

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fn float_device(tensor: &FloatTensor) -> Device

Gets the device of the tensor.

§Arguments

tensor - The tensor.

§Returns

The device of the tensor.

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fn float_to_device(tensor: FloatTensor, device: &Device) -> FloatTensor

Moves the tensor to the given device.

§Arguments

tensor - The tensor.
device - The device to move the tensor to.

§Returns

The tensor on the given device.

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fn float_into_int(tensor: FloatTensor) -> IntTensor

Converts float tensor to int tensor.

§Arguments

tensor - The tensor.

§Returns

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

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fn float_empty( shape: Shape, device: &Device, dtype: FloatDType, ) -> FloatTensor

Creates an empty tensor with the given shape.

§Arguments

shape - The shape of the tensor.
device - The device to create the tensor on.
dtype - The target data type.

§Returns

The empty tensor with the given shape.

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fn float_add(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Adds two tensors together.

§Arguments

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

§Returns

The result of adding the two tensors together.

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fn float_add_scalar(lhs: FloatTensor, rhs: FloatElem) -> FloatTensor

Adds a scalar to a tensor.

§Arguments

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

§Returns

The result of adding the scalar to the tensor.

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fn float_sub(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Subtracts two tensors.

§Arguments

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

§Returns

The result of subtracting the two tensors.

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fn float_sub_scalar(lhs: FloatTensor, rhs: FloatElem) -> FloatTensor

Subtracts a scalar from a tensor.

§Arguments

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

§Returns

The result of subtracting the scalar from the tensor.

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fn float_mul(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Multiplies two tensors together element-wise.

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fn float_mul_scalar(lhs: FloatTensor, rhs: FloatElem) -> FloatTensor

Multiplies a tensor by a scalar.

§Arguments

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

§Returns

The result of multiplying the tensor by the scalar.

Source

fn float_div(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Divides two tensors element-wise.

§Arguments

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

§Returns

The result of dividing the two tensors.

Source

fn float_div_scalar(lhs: FloatTensor, rhs: FloatElem) -> FloatTensor

Divides a tensor by a scalar.

§Arguments

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

§Returns

The result of dividing the tensor by the scalar.

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fn float_remainder(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Computes the remainder of division between two tensors element-wise.

§Arguments

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

§Returns

The element-wise remainder when dividing lhs by rhs.

Source

fn float_remainder_scalar( lhs: FloatTensor, rhs: FloatElem, ) -> FloatTensor

Computes the modulus of a tensor given a scalar.

§Arguments

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

§Returns

The result of applying the modulus of the scalar to the tensor.

Source

fn float_matmul(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Multiplies two tensors together using matrix multiplication.

§Arguments

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

§Returns

The result of multiplying the two tensors together using matrix multiplication.

Source

fn float_cross( lhs: FloatTensor, rhs: FloatTensor, dim: usize, ) -> FloatTensor

Computes the cross product of two tensors along a given dimension.

§Arguments

lhs - The left-hand side tensor.
rhs - The right-hand side tensor.
dim - The dimension to compute the cross product along.

§Returns

The cross product of the two tensors.

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fn float_recip(tensor: FloatTensor) -> FloatTensor

Calculates the reciprocals element-wise

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fn float_swap_dims( tensor: FloatTensor, dim1: usize, dim2: usize, ) -> FloatTensor

Swaps two dimensions of a 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.

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fn float_permute(tensor: FloatTensor, axes: &[usize]) -> FloatTensor

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.

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fn float_flip(tensor: FloatTensor, axes: &[usize]) -> FloatTensor

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.

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fn float_reshape(tensor: FloatTensor, shape: Shape) -> FloatTensor

Reshapes a tensor.

§Arguments

tensor - The tensor to reshape.
shape - The new shape of the tensor.

§Returns

The tensor with the new shape.

Source

fn float_gather( dim: usize, tensor: FloatTensor, indices: IntTensor, ) -> FloatTensor

Gather elements from a tensor.

§Arguments

dim - The dimension to gather from.
tensor - The tensor to gather from.
indices - The indices to gather.

§Returns

The gathered elements.

Source

fn float_scatter( dim: usize, tensor: FloatTensor, indices: IntTensor, value: FloatTensor, ) -> FloatTensor

Scatter elements into a tensor.

§Arguments

dim - The dimension to scatter into.
tensor - The tensor to scatter into.
indices - The indices to scatter into.
value - The value to scatter.

§Returns

The tensor with the scattered elements.

Source

fn float_select( tensor: FloatTensor, dim: usize, indices: IntTensor, ) -> FloatTensor

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

§Arguments

tensor - The tensor to select from.
dim - The dimension to select from.
indices - The indices to select.

§Returns

The selected elements.

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fn float_select_assign( tensor: FloatTensor, dim: usize, indices: IntTensor, value: FloatTensor, ) -> FloatTensor

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

§Arguments

tensor - The tensor to select from.
dim - The dimension to select from.
indices - The indices to select.
value - The value to assign.

§Returns

The tensor with the selected elements assigned to the given value.

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fn float_slice(tensor: FloatTensor, slices: &[Slice]) -> FloatTensor

Select tensor elements corresponding to the given slices.

§Arguments

tensor - The tensor to select from.
slices - The slices specifying ranges and steps for each dimension.

§Returns

The selected elements in a new tensor.

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fn float_slice_assign( tensor: FloatTensor, slices: &[Slice], value: FloatTensor, ) -> FloatTensor

Assign the selected elements corresponding to the given slices to the given value.

§Arguments

tensor - The tensor to select from.
ranges - The ranges to select.
value - The value to assign.

§Returns

The tensor with the selected elements assigned to the given value.

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fn float_mask_where( tensor: FloatTensor, mask: BoolTensor, value: FloatTensor, ) -> FloatTensor

Update the given tensor with the value tensor where the mask is true.

§Arguments

tensor - The tensor to select from.
mask - The boolean mask to select with.
value - The value to assign to the selected elements from the value tensor.

§Returns

The tensor with the selected elements assigned to the given value.

Source

fn float_mask_fill( tensor: FloatTensor, mask: BoolTensor, value: FloatElem, ) -> FloatTensor

Update the given tensor with the value where the mask is true.

§Arguments

tensor - The tensor to select from.
mask - The boolean mask to select with.
value - The value to assign to the selected elements.

§Returns

The tensor with the selected elements assigned to the given value.

Source

fn float_equal(lhs: FloatTensor, rhs: FloatTensor) -> BoolTensor

Equal comparison of two tensors.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_equal_elem(lhs: FloatTensor, rhs: FloatElem) -> BoolTensor

Equal comparison of a tensor and a scalar.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_greater(lhs: FloatTensor, rhs: FloatTensor) -> BoolTensor

Greater than comparison of two tensors.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_greater_elem(lhs: FloatTensor, rhs: FloatElem) -> BoolTensor

Greater than comparison of a tensor and a scalar.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_greater_equal( lhs: FloatTensor, rhs: FloatTensor, ) -> BoolTensor

Greater than or equal comparison of two tensors.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_greater_equal_elem( lhs: FloatTensor, rhs: FloatElem, ) -> BoolTensor

Greater than or equal comparison of a tensor and a scalar.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_lower(lhs: FloatTensor, rhs: FloatTensor) -> BoolTensor

Less than comparison of two tensors.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_lower_elem(lhs: FloatTensor, rhs: FloatElem) -> BoolTensor

Less than comparison of a tensor and a scalar.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_lower_equal(lhs: FloatTensor, rhs: FloatTensor) -> BoolTensor

Less than or equal comparison of two tensors.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_lower_equal_elem( lhs: FloatTensor, rhs: FloatElem, ) -> BoolTensor

Less than or equal comparison of a tensor and a scalar.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

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fn float_sum(tensor: FloatTensor) -> FloatTensor

Sum of all elements in a tensor.

§Arguments

tensor - The tensor to sum.

§Returns

A scalar tensor with the sum of all elements in tensor.

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fn float_sum_dim(tensor: FloatTensor, dim: usize) -> FloatTensor

Sum of all elements in a tensor along a dimension.

§Arguments

tensor - The tensor to sum.
dim - The dimension along which to sum.

§Returns

A tensor with the sum of all elements in tensor along dim.

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fn float_mean_dim(tensor: FloatTensor, dim: usize) -> FloatTensor

Mean of all elements in a tensor along a dimension.

§Arguments

tensor - The tensor to mean.
dim - The dimension along which to mean.

§Returns

A tensor with the mean of all elements in tensor along dim.

Source

fn float_cumsum(tensor: FloatTensor, dim: usize) -> FloatTensor

Computes the cumulative sum of elements along a dimension.

§Arguments

tensor - The tensor to compute the cumulative sum of.
dim - The dimension along which to compute the cumulative sum.

§Returns

A tensor with the same shape where each element is the cumulative sum of all elements up to and including that position along the dimension.

Source

fn float_cumprod(tensor: FloatTensor, dim: usize) -> FloatTensor

Computes the cumulative product of elements along a dimension.

§Arguments

tensor - The tensor to compute the cumulative product of.
dim - The dimension along which to compute the cumulative product.

§Returns

A tensor with the same shape where each element is the cumulative product of all elements up to and including that position along the dimension.

Source

fn float_cummin(tensor: FloatTensor, dim: usize) -> FloatTensor

Computes the cumulative minimum of elements along a dimension.

§Arguments

tensor - The tensor to compute the cumulative minimum of.
dim - The dimension along which to compute the cumulative minimum.

§Returns

A tensor with the same shape where each element is the minimum of all elements up to and including that position along the dimension.

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fn float_cummax(tensor: FloatTensor, dim: usize) -> FloatTensor

Computes the cumulative maximum of elements along a dimension.

§Arguments

tensor - The tensor to compute the cumulative maximum of.
dim - The dimension along which to compute the cumulative maximum.

§Returns

A tensor with the same shape where each element is the maximum of all elements up to and including that position along the dimension.

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fn float_cast(tensor: FloatTensor, dtype: FloatDType) -> FloatTensor

Converts a tensor to another floating point data type.

§Arguments

tensor - The tensor to convert.
dtype - The target data type.

§Returns

A tensor with the same values as tensor but in the target floating point data type.

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fn float_exp(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with exponential values.

§Arguments

tensor - The tensor to exponentiate.

§Returns

A tensor with the same shape as tensor with exponential values.

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fn float_log(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with natural logarithm values.

§Arguments

tensor - The tensor to take the logarithm of.

§Returns

A tensor with the same shape as tensor with natural logarithm values.

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fn float_log1p(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with logarithm values of (1 + Xi).

§Arguments

tensor - The tensor to take the logarithm of.

§Returns

A tensor with the same shape as tensor with logarithm values of (1 + Xi).

Source

fn float_powf(lhs: FloatTensor, rhs: FloatTensor) -> FloatTensor

Element-wise power with a FloatTensor.

§Arguments

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

§Returns

The elements of lhs raised to the power of the elements of rhs.

Source

fn float_powf_scalar_impl(tensor: FloatTensor, value: f32) -> FloatTensor

Returns a new tensor with values raised to the power of float value.

§Backend Implementors Note

This is the generic implementation of integer exponentiation called by Self::float_powf_scalar in the fallback case.

This is the minimal required support a Backend must implement for exponentiation.

As a general rule, this should not be called directly.

§Arguments

tensor - The tensor to exponentiate.
value - The exponent.

§Returns

A tensor with the same shape as tensor with values raised to the power of value.

Source

fn float_sqrt(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with square root values.

§Arguments

tensor - The tensor to take the square root of.

§Returns

A tensor with the same shape as tensor with square root values.

Source

fn float_abs(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with absolute values.

§Arguments

tensor - The tensor to take absolute value of.

§Returns

A tensor with the same shape as tensor with absolute values.

Source

fn float_cos(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with cosine values.

§Arguments

tensor - The tensor to take the cosine of.

§Returns

A tensor with the same shape as tensor with cosine values.

Source

fn float_sin(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with sine values.

§Arguments

tensor - The tensor to take the sine of.

§Returns

A tensor with the same shape as tensor with sine values.

Source

fn float_round(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with rounded values.

This function should implement the round half to even strategy, with halfway cases rounded to the nearest even integer value.

§Arguments

tensor - The tensor to be rounded.

§Returns

A tensor with the same shape as tensor with rounded values.

Source

fn float_floor(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with floored values.

§Arguments

tensor - The tensor to be floored.

§Returns

A tensor with the same shape as tensor with floored values.

Source

fn float_ceil(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with ceiled values.

§Arguments

tensor - The tensor to be ceiled.

§Returns

A tensor with the same shape as tensor with ceiled values.

Source

fn float_trunc(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with truncated values.

§Arguments

tensor - The tensor to be truncated.

§Returns

A tensor with the same shape as tensor with truncated values.

Source

fn float_erf(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with the error function values.

§Arguments

tensor - The tensor to take the error function of.

§Returns

A tensor with the same shape as tensor with error function values.

Source

fn float_argmax(tensor: FloatTensor, dim: usize) -> IntTensor

Gets the indices of the maximum elements of a tensor along an axis.

§Arguments

tensor - The tensor to get the maximum elements of.
dim - The dimension along which to get the maximum elements.

§Returns

A tensor with the indices of the maximum elements of tensor along dim.

Source

fn float_argmin(tensor: FloatTensor, dim: usize) -> IntTensor

Gets the indices of the minimum elements of a tensor along an axis.

§Arguments

tensor - The tensor to get the minimum elements of.
dim - The dimension along which to get the minimum elements.

§Returns

A tensor with the indices of the minimum elements of tensor along dim.

Source

fn float_expand(tensor: FloatTensor, shape: Shape) -> FloatTensor

Broadcasts the float tensor to the given shape.

Source

fn float_unfold( tensor: FloatTensor, dim: usize, size: usize, step: usize, ) -> FloatTensor

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§

Source

fn float_zeros( shape: Shape, device: &Device, dtype: FloatDType, ) -> FloatTensor

Creates a new tensor with zeros.

§Arguments

shape - The shape of the tensor.
device - The device to create the tensor on.
dtype - The target data type.

§Returns

The tensor with the given shape and zeros.

Source

fn float_ones( shape: Shape, device: &Device, dtype: FloatDType, ) -> FloatTensor

Creates a new tensor with ones.

§Arguments

shape - The shape of the tensor.
device - The device to create the tensor on.
dtype - The target data type.

§Returns

The tensor with the given shape and ones.

Source

fn float_full( shape: Shape, fill_value: FloatElem, device: &Device, dtype: FloatDType, ) -> FloatTensor

Creates a tensor filled with given value.

§Arguments

shape - The shape of the tensor.
fill_value - The value with which to fill the tensor.
device - The device to create the tensor on.
dtype - The target data type.

§Returns

The tensor filled with given value

Source

fn float_repeat_dim( tensor: FloatTensor, dim: usize, times: usize, ) -> FloatTensor

Repeat the tensor along the given dimension.

§Arguments

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

§Returns

The tensor with the given dimension repeated.

Source

fn float_clamp_min(tensor: FloatTensor, min: FloatElem) -> FloatTensor

Clamps a tensor under a minimum value.

§Arguments

tensor - The tensor to clamp.
min - The minimum value.

§Returns

The clamped tensor.

Source

fn float_clamp_max(tensor: FloatTensor, max: FloatElem) -> FloatTensor

Clamps a tensor over a maximum value.

§Arguments

tensor - The tensor to clamp.
max - The maximum value.

§Returns

The clamped tensor.

Source

fn float_clamp( tensor: FloatTensor, min: FloatElem, max: FloatElem, ) -> FloatTensor

Clamps a tensor between a minimum and maximum value.

§Arguments

tensor - The tensor to clamp.
min - The minimum value.
max - The maximum value.

§Returns

The clamped tensor.

Source

fn float_neg(tensor: FloatTensor) -> FloatTensor

Negates a tensor element-wise.

Source

fn float_transpose(tensor: FloatTensor) -> FloatTensor

Transposes a tensor.

§Arguments

tensor - The tensor to transpose.

§Returns

The transposed tensor.

Source

fn float_not_equal(lhs: FloatTensor, rhs: FloatTensor) -> BoolTensor

Element-wise non-equality comparison.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_not_equal_elem(lhs: FloatTensor, rhs: FloatElem) -> BoolTensor

Element-wise non-equality comparison with a scalar.

§Arguments

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

§Returns

A boolean tensor with the result of the comparison.

Source

fn float_detach(tensor: FloatTensor) -> FloatTensor

Detaches a tensor from the computation graph.

Source

fn float_set_require_grad( tensor: FloatTensor, _require_grad: bool, ) -> FloatTensor

Sets the require_grad flag of a tensor.

Source

fn float_is_require_grad(_tensor: &FloatTensor) -> bool

Returns the require_grad flag of a tensor.

Source

fn float_prod(tensor: FloatTensor) -> FloatTensor

Product of all elements in a tensor.

§Arguments

tensor - The tensor to product.

§Returns

A scalar tensor with the product of all elements in tensor.

Source

fn float_prod_dim(tensor: FloatTensor, dim: usize) -> FloatTensor

Product of all elements in a tensor along a dimension.

§Arguments

tensor - The tensor to product.

§Returns

A tensor with the product of all elements in tensor along dim.

Source

fn float_mean(tensor: FloatTensor) -> FloatTensor

Mean of all elements in a tensor.

§Arguments

tensor - The tensor to mean.

§Returns

A scalar tensor with the mean of all elements in tensor.

Source

fn float_powi(lhs: FloatTensor, rhs: IntTensor) -> FloatTensor

Element-wise power with an IntTensor.

§Arguments

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

§Returns

The elements of lhs raised to the value of rhs. Result is an IntTensor.

Source

fn float_powi_scalar(lhs: FloatTensor, rhs: IntElem) -> FloatTensor

Raises a tensor to the power of an int scalar.

§Backend Implementors Note

A number of common exponent cases can be implemented with operations which are much cheaper than generic exponentiation.

This (Backend impl overridable) operation handles generic optimizations for several common integer exponent cases; and then dispatches to the (Backend impl overridable) Self::float_powi_scalar_impl operation to handle the generic case.

§Arguments

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

§Returns

The elements of lhs raised to the value of rhs.

Source

fn float_powi_scalar_impl( lhs: FloatTensor, rhs: IntElem, ) -> FloatTensor

Raises a tensor to the power of an int scalar.

§Backend Implementors Note

This is the generic implementation of integer exponentiation called by Self::float_powi_scalar in the fallback case.

As a general rule, this should not be called directly.

§Arguments

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

§Returns

The elements of lhs raised to the value of rhs.

Source

fn float_powf_scalar(tensor: FloatTensor, value: f32) -> FloatTensor

Returns a new tensor with values raised to the power of float value.

§Backend Implementors Note

This (Backend impl overridable) operation dispatches integer exponentiation to Self::float_powi_scalar, and the remaining non-integer exponent cases to the (Backend impl overridable) Self::float_powf_scalar_impl operation to handle the generic case.

§Arguments

tensor - The tensor to exponentiate.
value - The exponent.

§Returns

A tensor with the same shape as tensor with values raised to the power of value.

Source

fn float_tan(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with tangent values.

§Arguments

tensor - The tensor to take the tangent of.

§Returns

A tensor with the same shape as tensor with tangent values.

Source

fn float_cosh(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with hyperbolic cosine values.

§Arguments

tensor - The tensor to take the hyperbolic cosine of.

§Returns

A tensor with the same shape as tensor with hyperbolic cosine values.

Source

fn float_sinh(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with hyperbolic sine values.

§Arguments

tensor - The tensor to take the hyperbolic sine of.

§Returns

A tensor with the same shape as tensor with hyperbolic sine values.

Source

fn float_tanh(tensor: FloatTensor) -> FloatTensor

Returns a new tensor with hyperbolic tangent values.

§Arguments

tensor - The tensor to take the hyperbolic tangent of.

§Returns

A tensor with the same shape as tensor with hyperbolic tangent values.

Source

fn float_cat(tensors: Vec<FloatTensor>, dim: usize) -> FloatTensor

Concatenates tensors along a dimension.

§Arguments

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

§Returns

A tensor with the concatenated tensors along dim.

Source

fn float_max(tensor: FloatTensor) -> FloatTensor

Gets the maximum element of a tensor.

§Arguments

tensor - The tensor to get the maximum elements of.

§Returns

A tensor with the maximum element of tensor.

Source

fn float_max_dim(tensor: FloatTensor, dim: usize) -> FloatTensor

Gets the maximum elements of a tensor along an axis.

§Arguments

tensor - The tensor to get the maximum elements of.
dim - The dimension along which to get the maximum elements.

§Returns

A tensor with the maximum elements of tensor along dim.

Source

fn float_max_dim_with_indices( tensor: FloatTensor, dim: usize, ) -> (FloatTensor, IntTensor)

Gets the maximum elements of a tensor along an axis and their indices.

§Arguments

tensor - The tensor to get the maximum elements of.
dim - The dimension along which to get the maximum elements.

§Returns

A tuple with the maximum elements of tensor along dim and their indices.

Source

fn float_min(tensor: FloatTensor) -> FloatTensor

Gets the minimum element of a tensor.

§Arguments

tensor - The tensor to get the minimum elements of.

§Returns

A tensor with the minimum element of tensor.

Source

fn float_min_dim(tensor: FloatTensor, dim: usize) -> FloatTensor

Gets the minimum elements of a tensor along an axis.

§Arguments

tensor - The tensor to get the minimum elements of.
dim - The dimension along which to get the minimum elements.

§Returns

A tensor with the minimum elements of tensor along dim.

Source

fn float_min_dim_with_indices( tensor: FloatTensor, dim: usize, ) -> (FloatTensor, IntTensor)

Gets the minimum elements of a tensor along an axis and their indices.

§Arguments

tensor - The tensor to get the minimum elements of.
dim - The dimension along which to get the minimum elements.

§Returns

A tuple with the minimum elements of tensor along dim and their indices.

Source

fn float_max_abs(tensor: FloatTensor) -> FloatTensor

Gets the maximum absolute element of a tensor.

§Arguments

tensor - The tensor to get the maximum elements of.

§Returns

A tensor with the maximum element of tensor.

Source

fn float_max_abs_dim(tensor: FloatTensor, dim: usize) -> FloatTensor

Gets the maximum absolute elements of a tensor along an axis.

§Arguments

tensor - The tensor to get the maximum elements of.
dim - The dimension along which to get the maximum elements.

§Returns

A tensor with the maximum elements of tensor along dim.

Source

fn float_any(tensor: FloatTensor) -> BoolTensor

Tests if any element in the float 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.

Source

fn float_any_dim(tensor: FloatTensor, dim: usize) -> BoolTensor

Tests if any element in the float 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.

Source

fn float_all(tensor: FloatTensor) -> BoolTensor

Tests if all elements in the float 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.

Source

fn float_all_dim(tensor: FloatTensor, dim: usize) -> BoolTensor

Tests if all elements in the float 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.

Source

fn float_sign(tensor: FloatTensor) -> FloatTensor

Returns the signs of the float tensor.

§Arguments

tensor - The tensor to extract the signs from.

§Returns

A tensor with the same shape as tensor containing the signs of the elements of tensor.

Source

fn float_sort( tensor: FloatTensor, dim: usize, descending: bool, ) -> FloatTensor

Sort the elements of the input tensor by value in along a given dimension.

This sort is unstable (i.e., may reorder equal elements).

§Arguments

tensor - The input tensor.
dim - The axis along which to sort.
descending - The sorting order.

§Returns

A tensor with the same shape as the input tensor, where the elements are sorted by value.

Source

fn float_sort_with_indices( tensor: FloatTensor, dim: usize, descending: bool, ) -> (FloatTensor, IntTensor)

Sort the elements of the input tensor by value in along a given dimension.

This sort is unstable (i.e., may reorder equal elements).

§Arguments

tensor - The input tensor.
dim - The axis along which to sort.
descending - The sorting order.

§Returns

A tensor with the same shape as the input tensor and corresponding indices, where the elements are sorted by value and the indices map back to the original input tensor.

Source

fn float_argsort( tensor: FloatTensor, dim: usize, descending: bool, ) -> IntTensor

Returns the indices that sort the elements of the input tensor by value along a given dimension.

This sort is unstable (i.e., may reorder equal elements).

§Arguments

tensor - The input tensor.
dim - The axis along which to sort.
descending - The sorting order.

§Returns

A tensor with the same shape as the input tensor the indices map back to the original input tensor.

Source

fn float_grid_sample_2d( tensor: FloatTensor, grid: FloatTensor, method: InterpolateMode, ) -> FloatTensor

Samples tensor as a two-dimensional spatial grid of (possibly multi-channel) values, using the given locations in [-1, 1].

Interpolation is bilinear. Padding is border: out of bounds locations will be clamped to the nearest border

tensor - The tensor being sampled from, shape (N, C, H_in, W_in)
grid - A tensor of locations, with shape (N, H_out, W_out, 2). Values are [-1, 1]. A [x = -1, y = -1] means top-left, and [x = 1, y = 1] means bottom-right
method - How to interpolate between samples

§Returns

A tensor with shape (N, C, H_out, W_out)

Source

fn float_is_nan(tensor: FloatTensor) -> BoolTensor

Returns a new tensor with boolean elements indicating whether each element of the input is NaN.

§Returns

A boolean tensor where true indicates NaN and false indicates a non-NaN value.

Source

fn float_is_inf(tensor: FloatTensor) -> BoolTensor

Returns a new tensor with boolean elements indicating whether each element of the input is infinite (either +INF or -INF).

§Returns

A boolean tensor where true indicates that the value is infinite

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.

FloatTensorOps

Trait FloatTensorOps Copy item path

Required Methods§

fn float_from_data(data: TensorData, device: &Device<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_random( shape: Shape, distribution: Distribution, device: &Device<B>, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_into_data( tensor: FloatTensor<B>, ) -> impl Future<Output = TensorData> + Send

§Arguments

§Returns

fn float_device(tensor: &FloatTensor<B>) -> Device<B>

§Arguments

§Returns

fn float_to_device(tensor: FloatTensor<B>, device: &Device<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_into_int(tensor: FloatTensor<B>) -> IntTensor<B>

§Arguments

§Returns

fn float_empty( shape: Shape, device: &Device<B>, dtype: FloatDType, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_add(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_add_scalar(lhs: FloatTensor<B>, rhs: FloatElem<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_sub(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_sub_scalar(lhs: FloatTensor<B>, rhs: FloatElem<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_mul(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>

fn float_mul_scalar(lhs: FloatTensor<B>, rhs: FloatElem<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_div(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_div_scalar(lhs: FloatTensor<B>, rhs: FloatElem<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_remainder(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_remainder_scalar( lhs: FloatTensor<B>, rhs: FloatElem<B>, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_matmul(lhs: FloatTensor<B>, rhs: FloatTensor<B>) -> FloatTensor<B>

§Arguments

§Returns

fn float_cross( lhs: FloatTensor<B>, rhs: FloatTensor<B>, dim: usize, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_recip(tensor: FloatTensor<B>) -> FloatTensor<B>

fn float_swap_dims( tensor: FloatTensor<B>, dim1: usize, dim2: usize, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_permute(tensor: FloatTensor<B>, axes: &[usize]) -> FloatTensor<B>

§Arguments

§Returns

fn float_flip(tensor: FloatTensor<B>, axes: &[usize]) -> FloatTensor<B>

§Arguments

fn float_reshape(tensor: FloatTensor<B>, shape: Shape) -> FloatTensor<B>

§Arguments

§Returns

fn float_gather( dim: usize, tensor: FloatTensor<B>, indices: IntTensor<B>, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_scatter( dim: usize, tensor: FloatTensor<B>, indices: IntTensor<B>, value: FloatTensor<B>, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_select( tensor: FloatTensor<B>, dim: usize, indices: IntTensor<B>, ) -> FloatTensor<B>

§Arguments

§Returns

fn float_select_assign( tensor: FloatTensor<B>, dim: usize, indices: IntTensor<B>, value: FloatTensor<B>, ) -> FloatTensor<B>

Trait FloatTensorOps