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Shashi456
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@rxwei rxwei self-requested a review April 2, 2019 11:01
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/// - context: The contextual information for the layer application, e.g. the current learning
/// phase.
/// - Returns: The output
/// - Returns: The output
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Add period.

Suggested change
/// - Returns: The output
/// - Returns: The output.

/// - input: The input to the layer.
/// - context: The contextual information for the layer application, e.g. the current learning
/// phase.
/// - Returns: The output
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Add period.

/// - Returns: The output
@differentiable
public func applied(to input: Tensor<Scalar>, in _: Context) -> Tensor<Scalar> {
return input.mean(alongAxes: [1,2,3]).reshaped(to: [input.shape[0], input.shape[4]])
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Add a space after each comma.

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return input.mean(alongAxes: [1,2,3]).reshaped(to: [input.shape[0], input.shape[4]])
return input.mean(alongAxes: [1, 2, 3]).reshaped(to: [input.shape[0], input.shape[4]])

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@rxwei is it okay if i add the tests in another PR? I think most of the conv layers lack a test, So i'll go through them one by one?

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rxwei commented Apr 2, 2019

Sure. Sounds good.

@rxwei rxwei merged commit efaa6d0 into tensorflow:master Apr 2, 2019
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