Struct InferStatistics

pub struct InferStatistics {
    pub success: Option<StatisticDuration>,
    pub fail: Option<StatisticDuration>,
    pub queue: Option<StatisticDuration>,
    pub compute_input: Option<StatisticDuration>,
    pub compute_infer: Option<StatisticDuration>,
    pub compute_output: Option<StatisticDuration>,
    pub cache_hit: Option<StatisticDuration>,
    pub cache_miss: Option<StatisticDuration>,
}

@@ @@.. cpp:var:: message InferStatistics @@ @@ Inference statistics. @@

Fields

success: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration success @@ @@ Cumulative count and duration for successful inference @@ request. The “success” count and cumulative duration includes @@ cache hits. @@

fail: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration fail @@ @@ Cumulative count and duration for failed inference @@ request. @@

queue: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration queue @@ @@ The count and cumulative duration that inference requests wait in @@ scheduling or other queues. The “queue” count and cumulative @@ duration includes cache hits. @@

compute_input: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration compute_input @@ @@ The count and cumulative duration to prepare input tensor data as @@ required by the model framework / backend. For example, this duration @@ should include the time to copy input tensor data to the GPU. @@ The “compute_input” count and cumulative duration do not account for @@ requests that were a cache hit. See the “cache_hit” field for more @@ info. @@

compute_infer: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration compute_infer @@ @@ The count and cumulative duration to execute the model. @@ The “compute_infer” count and cumulative duration do not account for @@ requests that were a cache hit. See the “cache_hit” field for more @@ info. @@

compute_output: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration compute_output @@ @@ The count and cumulative duration to extract output tensor data @@ produced by the model framework / backend. For example, this duration @@ should include the time to copy output tensor data from the GPU. @@ The “compute_output” count and cumulative duration do not account for @@ requests that were a cache hit. See the “cache_hit” field for more @@ info. @@

cache_hit: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration cache_hit @@ @@ The count of response cache hits and cumulative duration to lookup @@ and extract output tensor data from the Response Cache on a cache @@ hit. For example, this duration should include the time to copy @@ output tensor data from the Response Cache to the response object. @@ On cache hits, triton does not need to go to the model/backend @@ for the output tensor data, so the “compute_input”, “compute_infer”, @@ and “compute_output” fields are not updated. Assuming the response @@ cache is enabled for a given model, a cache hit occurs for a @@ request to that model when the request metadata (model name, @@ model version, model inputs) hashes to an existing entry in the @@ cache. On a cache miss, the request hash and response output tensor @@ data is added to the cache. See response cache docs for more info: @@ https://github.com/triton-inference-server/server/blob/main/docs/response_cache.md @@

cache_miss: Option<StatisticDuration>

@@ .. cpp:var:: StatisticDuration cache_miss @@ @@ The count of response cache misses and cumulative duration to lookup @@ and insert output tensor data from the computed response to the cache. @@ For example, this duration should include the time to copy @@ output tensor data from the response object to the Response Cache. @@ Assuming the response cache is enabled for a given model, a cache @@ miss occurs for a request to that model when the request metadata @@ does NOT hash to an existing entry in the cache. See the response @@ cache docs for more info: @@ https://github.com/triton-inference-server/server/blob/main/docs/response_cache.md @@

Trait Implementations

impl Clone for InferStatistics

fn clone(&self) -> InferStatistics

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for InferStatistics

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

Formats the value using the given formatter.

impl Default for InferStatistics

fn default() -> Self

Returns the “default value” for a type.

impl Message for InferStatistics

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for InferStatistics

fn eq(&self, other: &InferStatistics) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for InferStatistics