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use crate::{Graph, ScalarOrTensor, Tensor};
use objc2::{msg_send, rc::Retained};
use objc2_foundation::NSString;
/// CumulativeOps.
impl Graph {
/// Computes the cumulative sum of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `exclusive` - If `true`, perform the exclusive cumulative operation, and the first element will be equal to zero.
/// * `reverse` - If `true`, reverse the direction of the cumulative operation along the specified axis.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_sum_with_exclusive_reverse<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
exclusive: bool,
reverse: bool,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeSumWithTensor: tensor,
axis: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeSumWithTensor: tensor,
axisTensor: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative sum of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_sum<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeSumWithTensor: tensor,
axis: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeSumWithTensor: tensor,
axisTensor: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative product of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `exclusive` - If `true`, perform the exclusive cumulative operation, and the first element will be equal to one.
/// * `reverse` - If `true`, reverse the direction of the cumulative operation along the specified axis.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_product_with_exclusive_reverse<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
exclusive: bool,
reverse: bool,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeProductWithTensor: tensor,
axis: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeProductWithTensor: tensor,
axisTensor: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative product of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_product<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeProductWithTensor: tensor,
axis: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeProductWithTensor: tensor,
axisTensor: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative minimum of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `exclusive` - If `true`, perform the exclusive cumulative operation, and the first element will be equal to the largest value of the tensor data type.
/// * `reverse` - If `true`, reverse the direction of the cumulative operation along the specified axis.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_minimum_with_exclusive_reverse<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
exclusive: bool,
reverse: bool,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeMinimumWithTensor: tensor,
axis: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeMinimumWithTensor: tensor,
axisTensor: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative minimum of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_minimum<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeMinimumWithTensor: tensor,
axis: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeMinimumWithTensor: tensor,
axisTensor: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative maximum of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `exclusive` - If `true`, perform the exclusive cumulative operation, and the first element will be equal to the lowest value of the tensor data type.
/// * `reverse` - If `true`, reverse the direction of the cumulative operation along the specified axis.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_maximum_with_exclusive_reverse<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
exclusive: bool,
reverse: bool,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeMaximumWithTensor: tensor,
axis: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeMaximumWithTensor: tensor,
axisTensor: axis,
exclusive: exclusive,
reverse: reverse,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
/// Computes the cumulative maximum of the input tensor along the specified axis.
///
/// # Arguments
///
/// * `tensor` - The input [`Tensor`].
/// * `axis` - The tensor dimension where you compute the cumulative operation.
/// * `name` - Name of the operation.
///
/// # Returns
///
/// A valid [`Tensor`] object.
pub fn cumulative_maximum<'a>(
&self,
tensor: &Tensor,
axis: ScalarOrTensor<'a, i64>,
name: Option<&str>,
) -> Retained<Tensor> {
match axis {
ScalarOrTensor::Scalar(axis) => unsafe {
msg_send![
self,
cumulativeMaximumWithTensor: tensor,
axis: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
ScalarOrTensor::Tensor(axis) => unsafe {
msg_send![
self,
cumulativeMaximumWithTensor: tensor,
axisTensor: axis,
name: name.map(NSString::from_str).as_deref(),
]
},
}
}
}