forked from kscience/kmath
toDoubleTensor and toIntTensor renaming
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@ -77,5 +77,5 @@ internal val TensorStructure<Int>.tensor: IntTensor
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else -> this.toBufferedTensor().asTensor()
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}
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public fun TensorStructure<Double>.toTypedTensor(): DoubleTensor = this.tensor
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public fun TensorStructure<Int>.toTypedTensor(): IntTensor = this.tensor
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public fun TensorStructure<Double>.toDoubleTensor(): DoubleTensor = this.tensor
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public fun TensorStructure<Int>.toIntTensor(): IntTensor = this.tensor
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@ -67,8 +67,8 @@ internal class TestDoubleTensor {
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val bufferedTensorArray = ndArray.toBufferedTensor() // strides are flipped so data copied
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val tensorArray = bufferedTensorArray.asTensor() // data not contiguous so copied again
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val tensorArrayPublic = ndArray.toTypedTensor() // public API, data copied twice
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val sharedTensorArray = tensorArrayPublic.toTypedTensor() // no data copied by matching type
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val tensorArrayPublic = ndArray.toDoubleTensor() // public API, data copied twice
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val sharedTensorArray = tensorArrayPublic.toDoubleTensor() // no data copied by matching type
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assertTrue(tensorArray.mutableBuffer.array() contentEquals sharedTensorArray.mutableBuffer.array())
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