F

[jvm]
object F

The functional namespace: stateless spellings of the runtime ops, keyword-defaulted per the binding signature conventions.

val a = F.softmax(logits, dim = -1)
val h = F.linear(x, weight, bias)
val r = F.relu(h)

Every call is NON-CONSUMING (the retain-before-consuming-op mechanism) and returns a fresh caller-owned Tensor.

Functions

Name	Summary
amax	[jvm] @JvmOverloads fun amax(input: Tensor, dims: LongArray = longArrayOf(), keepdim: Boolean = false): Tensor `amax(input, dims=[], keepdim=false)`; the global max reduce.
gelu	[jvm] @JvmOverloads fun gelu(input: Tensor, approximate: Int = ClikaRtGen.GELU_MODE_NONE): Tensor `gelu(input, approximate=none)`; approximate is a `ClikaRtGen.GELU_MODE_*` value (tanh / quick / fast forms).
linear	[jvm] @JvmOverloads fun linear(input: Tensor, weight: Tensor, bias: Tensor? = null, activation: Int? = null): Tensor `linear(input, weight, bias=null)`: `input @ weight^T + bias`. The fused activation is keyword-only-shaped: pass a `ClikaRtGen.ACTIVATION_*` value to fuse one; the plain call reads like the plain op.
logSoftmax	[jvm] @JvmOverloads fun logSoftmax(input: Tensor, dim: Long = -1, dtype: Int = ClikaRtGen.DATA_TYPE_UNDEFINED): Tensor `logSoftmax(input, dim=-1, dtype=undefined)`.
matmul	[jvm] fun matmul(input: Tensor, other: Tensor): Tensor `matmul(input, other)`: the function form of the infix operator.
mean	[jvm] @JvmOverloads fun mean(input: Tensor, dims: LongArray = longArrayOf(), keepdim: Boolean = false, dtype: Int = ClikaRtGen.DATA_TYPE_UNDEFINED): Tensor `mean(input, dims=[], keepdim=false)`; empty dims reduce all.
relu	[jvm] fun relu(input: Tensor): Tensor `relu(input)`, elementwise.
sigmoid	[jvm] fun sigmoid(input: Tensor): Tensor `sigmoid(input)`, elementwise.
silu	[jvm] fun silu(input: Tensor): Tensor `silu(input)`, elementwise.
softmax	[jvm] @JvmOverloads fun softmax(input: Tensor, dim: Long = -1, dtype: Int = ClikaRtGen.DATA_TYPE_UNDEFINED): Tensor `softmax(input, dim=-1, dtype=undefined)`; an undefined dtype keeps the input's dtype.
sum	[jvm] @JvmOverloads fun sum(input: Tensor, dims: LongArray = longArrayOf(), keepdim: Boolean = false, dtype: Int = ClikaRtGen.DATA_TYPE_UNDEFINED): Tensor `sum(input, dims=[], keepdim=false)`; empty dims reduce all.
tanh	[jvm] fun tanh(input: Tensor): Tensor `tanh(input)`, elementwise.

Functions​

Functions