BNNSLayerParametersActivation
A set of parameters that define an activation layer.
Declaration
struct BNNSLayerParametersActivationOverview
Use an activation layer to perform type conversion. The following code shows how to convert 16-bit integer values to single-precision values:
let input: [Int16] = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
var output = [Float](repeating: 0, count: input.count)
input.withUnsafeBufferPointer { inputPtr in
output.withUnsafeMutableBufferPointer { outputPtr in
let inputDescriptor = BNNSNDArrayDescriptor(flags: BNNSNDArrayFlags(0),
layout: BNNSDataLayoutVector,
size: (input.count, 0, 0, 0, 0, 0, 0, 0),
stride: (0, 0, 0, 0, 0, 0, 0, 0),
data: UnsafeMutableRawPointer(mutating: inputPtr.baseAddress),
data_type: .int16,
table_data: nil,
table_data_type: .int16,
data_scale: 1,
data_bias: 0)
let ouputDescriptor = BNNSNDArrayDescriptor(flags: BNNSNDArrayFlags(0),
layout: BNNSDataLayoutVector,
size: (input.count, 0, 0, 0, 0, 0, 0, 0),
stride: (0, 0, 0, 0, 0, 0, 0, 0),
data: outputPtr.baseAddress,
data_type: .float,
table_data: nil,
table_data_type: .float,
data_scale: 1,
data_bias: 0)
var layerParameters = BNNSLayerParametersActivation(i_desc: inputDescriptor,
o_desc: ouputDescriptor,
activation: .identity,
axis_flags: 0)
BNNSDirectApplyActivationBatch(&layerParameters,
nil,
1,
input.count,
input.count)
}
}
// Prints "[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]"
print(output)Topics
Initializers
Instance Properties
See Also
Activation layers
BNNSFilterCreateVectorActivationLayer(_:_:_:_:)BNNS.ActivationLayerBNNSActivationFunctionBNNSActivationBNNSFilterCreateLayerActivation(_:_:)BNNSDirectApplyActivationBatch(_:_:_:_:_:)applyActivation(activation:axes:input:output:batchSize:filterParameters:)applyActivation(activation:input:output:batchSize:filterParameters:)