skainet-lang-core/sk.ainet.lang.nn.dsl/Conv1dImpl

Conv1dImpl

class Conv1dImpl<T : DType, V>(val executionContext: ExecutionContext, initialInChannels: Int, initialOutChannels: Int, initialKernelSize: Int, initialStride: Int, initialPadding: Int, initialDilation: Int, initialGroups: Int, initialBias: Boolean, id: String, kClass: KClass<T>) : CONV1D<T, V> (source)

Constructors

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constructor(executionContext: ExecutionContext, initialInChannels: Int, initialOutChannels: Int, initialKernelSize: Int, initialStride: Int, initialPadding: Int, initialDilation: Int, initialGroups: Int, initialBias: Boolean, id: String, kClass: KClass<T>)

Properties

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open override var bias: Boolean
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open override val biasShape: Shape
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open override var dilation: Int
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open override val executionContext: ExecutionContext
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open override var groups: Int
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open override var inChannels: Int
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open override var kernelSize: Int
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open override var outChannels: Int
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open override var padding: Int
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open override var stride: Int
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open override var trainable: Boolean
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open override val weightsShape: Shape

Functions

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open override fun bias(initBlock: BiasScope<T, V>.(Shape) -> Tensor<T, V>)
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fun create(): Conv1d<T, V>
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open override fun weights(initBlock: WeightsScope<T, V>.(Shape) -> Tensor<T, V>)
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