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transformer: upstream api changes #171

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Jun 19, 2019
Merged

transformer: upstream api changes #171

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10 changes: 5 additions & 5 deletions Transformer/Model.swift
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Original file line number Diff line number Diff line change
Expand Up @@ -51,9 +51,9 @@ struct FeedForward: Layer {
}

struct AttentionInput: Differentiable {
let query: Tensor<Float>
let key: Tensor<Float>
let value: Tensor<Float>
var query: Tensor<Float>
var key: Tensor<Float>
var value: Tensor<Float>
}

@differentiable(wrt: (query, key, value), vjp: _vjpMakeAttentionInput)
Expand All @@ -69,8 +69,8 @@ func _vjpMakeAttentionInput(query: Tensor<Float>, key: Tensor<Float>, value: Ten
}

struct AttentionContext: Differentiable {
let key: Tensor<Float>
let value: Tensor<Float>
var key: Tensor<Float>
var value: Tensor<Float>
}

@differentiable(wrt: (key, value), vjp: _vjpMakeAttentionContext)
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4 changes: 2 additions & 2 deletions Transformer/Operators.swift
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Expand Up @@ -29,7 +29,7 @@ func gelu<Scalar: TensorFlowFloatingPoint>(_ x: Tensor<Scalar>) -> Tensor<Scalar
@differentiable(
wrt: (left, right),
vjp: _vjpBatchedMatmul
where Scalar : Differentiable & FloatingPoint
where Scalar : Differentiable & TensorFlowFloatingPoint
)
func batchedMatmul<Scalar : Numeric>(
_ left: Tensor<Scalar>,
Expand All @@ -41,7 +41,7 @@ func batchedMatmul<Scalar : Numeric>(
}

@usableFromInline
func _vjpBatchedMatmul<Scalar : Differentiable & FloatingPoint>(
func _vjpBatchedMatmul<Scalar : Differentiable & TensorFlowFloatingPoint>(
_ left: Tensor<Scalar>,
_ right: Tensor<Scalar>,
adjointLeft: Bool,
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