Trait burn_tensor::ops::IntTensorOps

source · 
pub trait IntTensorOps<B: Backend> {

Show 59 methods    // Required methods
    fn int_empty<const D: usize>(
        shape: Shape<D>,
        device: &Device<B>
    ) -> IntTensor<B, D>;
    fn int_shape<const D: usize>(tensor: &IntTensor<B, D>) -> Shape<D>;
    fn int_into_data<const D: usize>(
        tensor: IntTensor<B, D>
    ) -> Reader<Data<IntElem<B>, D>>;
    fn int_from_data<const D: usize>(
        data: Data<IntElem<B>, D>,
        device: &Device<B>
    ) -> IntTensor<B, D>;
    fn int_device<const D: usize>(tensor: &IntTensor<B, D>) -> Device<B>;
    fn int_to_device<const D: usize>(
        tensor: IntTensor<B, D>,
        device: &Device<B>
    ) -> IntTensor<B, D>;
    fn int_reshape<const D1: usize, const D2: usize>(
        tensor: IntTensor<B, D1>,
        shape: Shape<D2>
    ) -> IntTensor<B, D2>;
    fn int_slice<const D1: usize, const D2: usize>(
        tensor: IntTensor<B, D1>,
        indices: [Range<usize>; D2]
    ) -> IntTensor<B, D1>;
    fn int_slice_assign<const D1: usize, const D2: usize>(
        tensor: IntTensor<B, D1>,
        indices: [Range<usize>; D2],
        value: IntTensor<B, D1>
    ) -> IntTensor<B, D1>;
    fn int_into_float<const D: usize>(
        tensor: IntTensor<B, D>
    ) -> FloatTensor<B, D>;
    fn int_mask_where<const D: usize>(
        tensor: IntTensor<B, D>,
        mask: BoolTensor<B, D>,
        source: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_mask_fill<const D: usize>(
        tensor: IntTensor<B, D>,
        mask: BoolTensor<B, D>,
        value: IntElem<B>
    ) -> IntTensor<B, D>;
    fn int_gather<const D: usize>(
        dim: usize,
        tensor: IntTensor<B, D>,
        indices: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_scatter<const D: usize>(
        dim: usize,
        tensor: IntTensor<B, D>,
        indices: IntTensor<B, D>,
        value: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_select<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize,
        indices: IntTensor<B, 1>
    ) -> IntTensor<B, D>;
    fn int_select_assign<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize,
        indices: IntTensor<B, 1>,
        value: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_cat<const D: usize>(
        tensors: Vec<IntTensor<B, D>>,
        dim: usize
    ) -> IntTensor<B, D>;
    fn int_equal<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> BoolTensor<B, D>;
    fn int_equal_elem<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> BoolTensor<B, D>;
    fn int_greater<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> BoolTensor<B, D>;
    fn int_greater_elem<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> BoolTensor<B, D>;
    fn int_greater_equal<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> BoolTensor<B, D>;
    fn int_greater_equal_elem<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> BoolTensor<B, D>;
    fn int_lower<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> BoolTensor<B, D>;
    fn int_lower_elem<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> BoolTensor<B, D>;
    fn int_lower_equal<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> BoolTensor<B, D>;
    fn int_lower_equal_elem<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> BoolTensor<B, D>;
    fn int_add<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_add_scalar<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> IntTensor<B, D>;
    fn int_sub<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_sub_scalar<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> IntTensor<B, D>;
    fn int_mul<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_mul_scalar<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> IntTensor<B, D>;
    fn int_div<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntTensor<B, D>
    ) -> IntTensor<B, D>;
    fn int_div_scalar<const D: usize>(
        lhs: IntTensor<B, D>,
        rhs: IntElem<B>
    ) -> IntTensor<B, D>;
    fn int_zeros<const D: usize>(
        shape: Shape<D>,
        device: &Device<B>
    ) -> IntTensor<B, D>;
    fn int_ones<const D: usize>(
        shape: Shape<D>,
        device: &Device<B>
    ) -> IntTensor<B, D>;
    fn int_sum<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1>;
    fn int_sum_dim<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> IntTensor<B, D>;
    fn int_mean_dim<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> IntTensor<B, D>;
    fn int_argmax<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> IntTensor<B, D>;
    fn int_argmin<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> IntTensor<B, D>;
    fn int_abs<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, D>;
    fn int_swap_dims<const D: usize>(
        tensor: IntTensor<B, D>,
        dim1: usize,
        dim2: usize
    ) -> IntTensor<B, D>;

    // Provided methods
    fn int_to_data<const D: usize>(
        tensor: &IntTensor<B, D>
    ) -> Reader<Data<IntElem<B>, D>> { ... }
    fn int_repeat<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize,
        times: usize
    ) -> IntTensor<B, D> { ... }
    fn int_clamp_min<const D: usize>(
        tensor: IntTensor<B, D>,
        min: IntElem<B>
    ) -> IntTensor<B, D> { ... }
    fn int_clamp_max<const D: usize>(
        tensor: IntTensor<B, D>,
        max: IntElem<B>
    ) -> IntTensor<B, D> { ... }
    fn int_clamp<const D: usize>(
        tensor: IntTensor<B, D>,
        min: IntElem<B>,
        max: IntElem<B>
    ) -> IntTensor<B, D> { ... }
    fn int_neg<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, D> { ... }
    fn int_full<const D: usize>(
        shape: Shape<D>,
        fill_value: IntElem<B>,
        device: &Device<B>
    ) -> IntTensor<B, D> { ... }
    fn int_mean<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1> { ... }
    fn int_max<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1> { ... }
    fn int_max_dim<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> IntTensor<B, D> { ... }
    fn int_max_dim_with_indices<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> (IntTensor<B, D>, IntTensor<B, D>) { ... }
    fn int_min<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1> { ... }
    fn int_min_dim<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> IntTensor<B, D> { ... }
    fn int_min_dim_with_indices<const D: usize>(
        tensor: IntTensor<B, D>,
        dim: usize
    ) -> (IntTensor<B, D>, IntTensor<B, D>) { ... }
    fn int_transpose<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, D> { ... }

}
Expand description

Int Tensor API for basic and numeric operations, see tensor for documentation on each function.

Required Methods§

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fn int_empty<const D: usize>( shape: Shape<D>, device: &Device<B> ) -> IntTensor<B, D>

Creates a new int tensor.

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

The integer tensor with the given shape.

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fn int_shape<const D: usize>(tensor: &IntTensor<B, D>) -> Shape<D>

Returns the shape of the tensor.

Arguments
  • tensor - The tensor.
Returns

The shape of the tensor.

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fn int_into_data<const D: usize>( tensor: IntTensor<B, D> ) -> Reader<Data<IntElem<B>, D>>

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 int_from_data<const D: usize>( data: Data<IntElem<B>, D>, device: &Device<B> ) -> IntTensor<B, D>

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.

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fn int_device<const D: usize>(tensor: &IntTensor<B, D>) -> Device<B>

Gets the device of the tensor.

Arguments
  • tensor - The tensor.
Returns

The device of the tensor.

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fn int_to_device<const D: usize>( tensor: IntTensor<B, D>, device: &Device<B> ) -> IntTensor<B, D>

Moves the tensor to the given device.

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fn int_reshape<const D1: usize, const D2: usize>( tensor: IntTensor<B, D1>, shape: Shape<D2> ) -> IntTensor<B, D2>

Reshapes the tensor.

Arguments
  • tensor - The tensor.
  • shape - The new shape.
Returns

The tensor with the new shape.

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fn int_slice<const D1: usize, const D2: usize>( tensor: IntTensor<B, D1>, indices: [Range<usize>; D2] ) -> IntTensor<B, D1>

Gets the element at the given indices.

Arguments
  • tensor - The tensor.
  • indices - The indices.
Returns

The elements at the given indices.

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fn int_slice_assign<const D1: usize, const D2: usize>( tensor: IntTensor<B, D1>, indices: [Range<usize>; D2], value: IntTensor<B, D1> ) -> IntTensor<B, D1>

Sets the element at the given indices.

Arguments
  • tensor - The tensor.
  • indices - The indices.
Returns

The tensor with the element at the given indices set.

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fn int_into_float<const D: usize>(tensor: IntTensor<B, D>) -> FloatTensor<B, D>

Converts int tensor to float tensor.

Arguments
  • tensor - The tensor.
Returns

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

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fn int_mask_where<const D: usize>( tensor: IntTensor<B, D>, mask: BoolTensor<B, D>, source: IntTensor<B, D> ) -> IntTensor<B, D>

Fills the tensor with values from the source tensor if the mask is true at the given indices.

Arguments
  • tensor - The tensor.
  • mask - The mask.
  • source - The source tensor.
Returns

The tensor with the values filled.

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fn int_mask_fill<const D: usize>( tensor: IntTensor<B, D>, mask: BoolTensor<B, D>, value: IntElem<B> ) -> IntTensor<B, D>

Fills the tensor with the given value if the mask is true at the given indices.

Arguments
  • tensor - The tensor.
  • mask - The mask.
  • value - The value.
Returns

The tensor with the values filled.

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fn int_gather<const D: usize>( dim: usize, tensor: IntTensor<B, D>, indices: IntTensor<B, D> ) -> IntTensor<B, D>

Gather elements from the tensor at the given indices.

Arguments
  • dim - The dimension to gather from.
  • tensor - The tensor.
  • indices - The indices.
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fn int_scatter<const D: usize>( dim: usize, tensor: IntTensor<B, D>, indices: IntTensor<B, D>, value: IntTensor<B, D> ) -> IntTensor<B, D>

Scatter a given value to the tensor at the given indices.

Arguments
  • dim - The dimension to scatter to.
  • tensor - The tensor.
  • indices - The indices.
  • value - The value.
Returns

The tensor with the values scattered.

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fn int_select<const D: usize>( tensor: IntTensor<B, D>, dim: usize, indices: IntTensor<B, 1> ) -> IntTensor<B, D>

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

Arguments
  • tensor - The tensor.
  • dim - The dimension to select from.
  • indices - The indices.
Returns

The tensor with the selected elements.

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fn int_select_assign<const D: usize>( tensor: IntTensor<B, D>, dim: usize, indices: IntTensor<B, 1>, value: IntTensor<B, D> ) -> IntTensor<B, D>

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

Arguments
  • tensor - The tensor.
  • dim - The dimension to select from.
  • indices - The indices.
  • value - The value.
Returns

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

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fn int_cat<const D: usize>( tensors: Vec<IntTensor<B, D>>, dim: usize ) -> IntTensor<B, D>

Concatenates the given tensors along the given dimension.

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

The concatenated tensor.

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fn int_equal<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> BoolTensor<B, D>

Elementwise equality comparison.

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

The boolean tensor with the result of the comparison.

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fn int_equal_elem<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> BoolTensor<B, D>

Elementwise equality comparison with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The boolean tensor with the result of the comparison.

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fn int_greater<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> BoolTensor<B, D>

Elementwise greater than comparison.

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

The boolean tensor with the result of the comparison.

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fn int_greater_elem<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> BoolTensor<B, D>

Elementwise greater than comparison with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The boolean tensor with the result of the comparison.

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fn int_greater_equal<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> BoolTensor<B, D>

Elementwise greater than or equal comparison.

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

The boolean tensor with the result of the comparison.

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fn int_greater_equal_elem<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> BoolTensor<B, D>

Elementwise greater than or equal comparison with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The boolean tensor with the result of the comparison.

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fn int_lower<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> BoolTensor<B, D>

Elementwise less than comparison.

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

The boolean tensor with the result of the comparison.

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fn int_lower_elem<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> BoolTensor<B, D>

Elementwise less than comparison with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The boolean tensor with the result of the comparison.

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fn int_lower_equal<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> BoolTensor<B, D>

Elementwise less than or equal comparison.

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

The boolean tensor with the result of the comparison.

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fn int_lower_equal_elem<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> BoolTensor<B, D>

Elementwise less than or equal comparison with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The boolean tensor with the result of the comparison.

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fn int_add<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> IntTensor<B, D>

Elementwise addition.

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

The result of the addition.

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fn int_add_scalar<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> IntTensor<B, D>

Elementwise addition with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The result of the addition.

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fn int_sub<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> IntTensor<B, D>

Elementwise subtraction.

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

The result of the subtraction.

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fn int_sub_scalar<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> IntTensor<B, D>

Elementwise subtraction with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The result of the subtraction.

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fn int_mul<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> IntTensor<B, D>

Elementwise multiplication.

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

The result of the multiplication.

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fn int_mul_scalar<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> IntTensor<B, D>

Elementwise multiplication with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The result of the multiplication.

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fn int_div<const D: usize>( lhs: IntTensor<B, D>, rhs: IntTensor<B, D> ) -> IntTensor<B, D>

Elementwise division.

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

The result of the division.

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fn int_div_scalar<const D: usize>( lhs: IntTensor<B, D>, rhs: IntElem<B> ) -> IntTensor<B, D>

Elementwise division with a scalar.

Arguments
  • lhs - The left hand side tensor.
  • rhs - The right hand side scalar.
Returns

The result of the division.

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fn int_zeros<const D: usize>( shape: Shape<D>, device: &Device<B> ) -> IntTensor<B, D>

Creates a tensor of zeros.

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

The tensor of zeros.

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fn int_ones<const D: usize>( shape: Shape<D>, device: &Device<B> ) -> IntTensor<B, D>

Creates a tensor of ones.

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

The tensor of ones.

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fn int_sum<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1>

Sums all elements in the tensor.

Arguments
  • tensor - The tensor to sum.
Returns

The sum of all elements in the tensor.

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fn int_sum_dim<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> IntTensor<B, D>

Sums all elements in the tensor along a dimension.

Arguments
  • tensor - The tensor to sum.
  • dim - The dimension to sum along.
Returns

The sum of all elements in the tensor along the dimension.

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fn int_mean_dim<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> IntTensor<B, D>

Computes the mean of all elements in the tensor along a dimension.

Arguments
  • tensor - The tensor to compute the mean of.
Returns

The mean of all elements in the tensor along the dimension.

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fn int_argmax<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> IntTensor<B, D>

Gets the indices of the maximum elements along a dimension.

Arguments
  • tensor - The tensor to get the maximum indices of.
  • dim - The dimension to get the maximum indices along.
Returns

The indices of the maximum elements along the dimension.

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fn int_argmin<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> IntTensor<B, D>

Gets the indices of the minimum elements along a dimension.

Arguments
  • tensor - The tensor to get the minimum indices of.
  • dim - The dimension to get the minimum indices along.
Returns

The indices of the minimum elements along the dimension.

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fn int_abs<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, D>

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.

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fn int_swap_dims<const D: usize>( tensor: IntTensor<B, D>, dim1: usize, dim2: usize ) -> IntTensor<B, D>

Swaps two dimensions of an int 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.

Provided Methods§

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fn int_to_data<const D: usize>( tensor: &IntTensor<B, D> ) -> Reader<Data<IntElem<B>, D>>

Gets the data from the tensor.

Arguments
  • tensor - The tensor.
Returns

The data cloned from the data structure.

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fn int_repeat<const D: usize>( tensor: IntTensor<B, D>, dim: usize, times: usize ) -> IntTensor<B, D>

Repeats the tensor along the given dimension the given number of times.

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

The tensor with the given dimension repeated the given number of times.

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fn int_clamp_min<const D: usize>( tensor: IntTensor<B, D>, min: IntElem<B> ) -> IntTensor<B, D>

Clamps a tensor under a minimum value.

Arguments
  • tensor - The tensor to clamp.
  • min - The minimum value.
Returns

The clamped tensor.

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fn int_clamp_max<const D: usize>( tensor: IntTensor<B, D>, max: IntElem<B> ) -> IntTensor<B, D>

Clamps a tensor over a maximum value.

Arguments
  • tensor - The tensor to clamp.
  • max - The maximum value.
Returns

The clamped tensor.

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fn int_clamp<const D: usize>( tensor: IntTensor<B, D>, min: IntElem<B>, max: IntElem<B> ) -> IntTensor<B, D>

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.

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fn int_neg<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, D>

Elementwise negation.

Arguments
  • tensor - The tensor to negate.
Returns

The negated tensor.

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fn int_full<const D: usize>( shape: Shape<D>, fill_value: IntElem<B>, device: &Device<B> ) -> IntTensor<B, D>

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.
Returns

The tensor filled with given value

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fn int_mean<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1>

Computes the mean of all elements in the tensor.

Arguments
  • tensor - The tensor to compute the mean of.
Returns

The mean of all elements in the tensor.

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fn int_max<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1>

Gets the maximum element in the tensor.

Arguments
  • tensor - The tensor to get the maximum element of.
Returns

The maximum element in the tensor.

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fn int_max_dim<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> IntTensor<B, D>

Gets the maximum element in the tensor along a dimension.

Arguments
  • tensor - The tensor to get the maximum element of.
  • dim - The dimension to get the maximum element along.
Returns

The maximum element in the tensor along the dimension.

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fn int_max_dim_with_indices<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> (IntTensor<B, D>, IntTensor<B, D>)

Gets the maximum elements and corresponding indices along a dimension.

Arguments
  • tensor - The tensor to get the maximum elements and indices of.
  • dim - The dimension to get the maximum elements and indices along.
Returns

The maximum elements and corresponding indices along the dimension.

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fn int_min<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, 1>

Gets the minimum element in the tensor.

Arguments
  • tensor - The tensor to get the minimum element of.
Returns

The minimum element in the tensor.

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fn int_min_dim<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> IntTensor<B, D>

Gets the minimum elements in the tensor along a dimension.

Arguments
  • tensor - The tensor to get the minimum element of.
  • dim - The dimension to get the minimum element along.
Returns

The minimum element in the tensor along the dimension.

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fn int_min_dim_with_indices<const D: usize>( tensor: IntTensor<B, D>, dim: usize ) -> (IntTensor<B, D>, IntTensor<B, D>)

Gets the minimum elements and corresponding indices along a dimension.

Arguments
  • tensor - The tensor to get the minimum elements and indices of.
  • dim - The dimension to get the minimum elements and indices along.
Returns

The minimum elements and corresponding indices along the dimension.

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fn int_transpose<const D: usize>(tensor: IntTensor<B, D>) -> IntTensor<B, D>

Transposes an int tensor.

Arguments
  • tensor - The tensor to transpose.
Returns

The transposed tensor.

Object Safety§

This trait is not object safe.

Implementors§