[−][src]Struct tensorflow_proto::tensorflow::GradientDef
GradientDef defines the gradient function of a function defined in a function library.
A gradient function g (specified by gradient_func) for a function f (specified by function_name) must follow the following:
The function 'f' must be a numerical function which takes N inputs and produces M outputs. Its gradient function 'g', which is a function taking N + M inputs and produces N outputs.
I.e. if we have (y1, y2, ..., y_M) = f(x1, x2, ..., x_N), then, g is (dL/dx1, dL/dx2, ..., dL/dx_N) = g(x1, x2, ..., x_N, dL/dy1, dL/dy2, ..., dL/dy_M), where L is a scalar-value function of (x1, x2, ..., xN) (e.g., the loss function). dL/dx_i is the partial derivative of L with respect to x_i.
Fields
function_name: String
The function name.
gradient_func: String
The gradient function's name.
Trait Implementations
impl Clone for GradientDef
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pub fn clone(&self) -> GradientDef
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for GradientDef
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impl Default for GradientDef
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impl Message for GradientDef
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pub fn encode_raw<B>(&self, buf: &mut B) where
B: BufMut,
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B: BufMut,
pub fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
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&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
pub fn encoded_len(&self) -> usize
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pub fn clear(&mut self)
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pub fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
B: BufMut,
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B: BufMut,
pub fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
B: BufMut,
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B: BufMut,
pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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Self: Default,
B: Buf,
pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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Self: Default,
B: Buf,
pub fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
B: Buf,
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B: Buf,
pub fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
B: Buf,
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B: Buf,
impl PartialEq<GradientDef> for GradientDef
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pub fn eq(&self, other: &GradientDef) -> bool
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pub fn ne(&self, other: &GradientDef) -> bool
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impl StructuralPartialEq for GradientDef
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Auto Trait Implementations
impl RefUnwindSafe for GradientDef
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impl Send for GradientDef
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impl Sync for GradientDef
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impl Unpin for GradientDef
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impl UnwindSafe for GradientDef
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,