Struct tensorflow::ops::EnqueueTPUEmbeddingSparseTensorBatch

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pub struct EnqueueTPUEmbeddingSparseTensorBatch { /* private fields */ }

Expand description

Builder for the EnqueueTPUEmbeddingSparseTensorBatch operation.

Implementations

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impl EnqueueTPUEmbeddingSparseTensorBatch

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pub fn new() -> Self

Creates a new EnqueueTPUEmbeddingSparseTensorBatch.

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pub fn T1<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T1 attribute.

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pub fn T2<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T2 attribute.

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pub fn T3<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T3 attribute.

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pub fn N<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the N attribute.

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pub fn device_ordinal<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the device_ordinal attribute.

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pub fn combiners<ArgType: Into<Vec<String>>>(self, value: ArgType) -> Self

Sets the combiners attribute.

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pub fn table_ids<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

Sets the table_ids attribute.

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pub fn max_sequence_lengths<ArgType: Into<Vec<i64>>>(
self,
value: ArgType
) -> Self

Sets the max_sequence_lengths attribute.

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pub fn num_features<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

Sets the num_features attribute.

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pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

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pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>>(
 &self,
 sample_indices: O0,
 embedding_indices: O1,
 aggregation_weights: O2,
 mode_override: O3,
 scope: &mut Scope
) -> Result<Operation>

Builds the EnqueueTPUEmbeddingSparseTensorBatch operation.

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pub fn build_instance(
 &self,
 sample_indices: Vec<Output>,
 embedding_indices: Vec<Output>,
 aggregation_weights: Vec<Output>,
 mode_override: Output,
 scope: &mut Scope
) -> Result<EnqueueTPUEmbeddingSparseTensorBatchInst>

Builds a new instance of ‘EnqueueTPUEmbeddingSparseTensorBatch’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

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impl Debug for EnqueueTPUEmbeddingSparseTensorBatch

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl Default for EnqueueTPUEmbeddingSparseTensorBatch

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fn default() -> EnqueueTPUEmbeddingSparseTensorBatch

Returns the “default value” for a type. Read more

Auto Trait Implementations

impl RefUnwindSafe for EnqueueTPUEmbeddingSparseTensorBatch

impl Send for EnqueueTPUEmbeddingSparseTensorBatch

impl Sync for EnqueueTPUEmbeddingSparseTensorBatch

impl Unpin for EnqueueTPUEmbeddingSparseTensorBatch

impl UnwindSafe for EnqueueTPUEmbeddingSparseTensorBatch

Blanket Implementations

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impl<T> Any for T where
T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T where
T: ?Sized,

const: unstable · source

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T where
T: ?Sized,

const: unstable · source

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

const: unstable · source

fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T where
U: From<T>,

const: unstable · source

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T, U> TryFrom for T where
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for T where
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable · source

fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

Struct tensorflow::ops::EnqueueTPUEmbeddingSparseTensorBatch

Implementations

impl EnqueueTPUEmbeddingSparseTensorBatch

pub fn new() -> Self

pub fn T1<ArgType: Into<DataType>>(self, value: ArgType) -> Self

pub fn T2<ArgType: Into<DataType>>(self, value: ArgType) -> Self

pub fn T3<ArgType: Into<DataType>>(self, value: ArgType) -> Self

pub fn N<ArgType: Into<i64>>(self, value: ArgType) -> Self

pub fn device_ordinal<ArgType: Into<i64>>(self, value: ArgType) -> Self

pub fn combiners<ArgType: Into<Vec<String>>>(self, value: ArgType) -> Self

pub fn table_ids<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

pub fn max_sequence_lengths<ArgType: Into<Vec<i64>>>( self, value: ArgType) -> Self

pub fn num_features<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

pub fn add_control_input(self, op: Operation) -> Self

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>>( &self, sample_indices: O0, embedding_indices: O1, aggregation_weights: O2, mode_override: O3, scope: &mut Scope) -> Result<Operation>

pub fn build_instance( &self, sample_indices: Vec<Output>, embedding_indices: Vec<Output>, aggregation_weights: Vec<Output>, mode_override: Output, scope: &mut Scope) -> Result<EnqueueTPUEmbeddingSparseTensorBatchInst>

Trait Implementations

impl Debug for EnqueueTPUEmbeddingSparseTensorBatch

fn fmt(&self, f: &mut Formatter<'_>) -> Result

impl Default for EnqueueTPUEmbeddingSparseTensorBatch

fn default() -> EnqueueTPUEmbeddingSparseTensorBatch

Auto Trait Implementations

impl RefUnwindSafe for EnqueueTPUEmbeddingSparseTensorBatch

impl Send for EnqueueTPUEmbeddingSparseTensorBatch

impl Sync for EnqueueTPUEmbeddingSparseTensorBatch

impl Unpin for EnqueueTPUEmbeddingSparseTensorBatch

impl UnwindSafe for EnqueueTPUEmbeddingSparseTensorBatch

Blanket Implementations

impl<T> Any for T where T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for T where T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for T where T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

fn from(t: T) -> T

impl<T, U> Into<U> for T where U: From<T>,

fn into(self) -> U

impl<T, U> TryFrom<U> for T where U: Into<T>,

type Error = Infallible

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for T where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

pub fn max_sequence_lengths<ArgType: Into<Vec<i64>>>(
self,
value: ArgType
) -> Self

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>>(
&self,
sample_indices: O0,
embedding_indices: O1,
aggregation_weights: O2,
mode_override: O3,
scope: &mut Scope
) -> Result<Operation>

pub fn build_instance(
&self,
sample_indices: Vec<Output>,
embedding_indices: Vec<Output>,
aggregation_weights: Vec<Output>,
mode_override: Output,
scope: &mut Scope
) -> Result<EnqueueTPUEmbeddingSparseTensorBatchInst>

impl<T> Any for T where
T: 'static + ?Sized,

impl<T> Borrow<T> for T where
T: ?Sized,

impl<T> BorrowMut<T> for T where
T: ?Sized,

impl<T, U> Into<U> for T where
U: From<T>,

impl<T, U> TryFrom<U> for T where
U: Into<T>,

impl<T, U> TryInto<U> for T where
U: TryFrom<T>,