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org.platanios.tensorflow.api.io

NPY

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object NPY

Contains helpers for dealing with Numpy (i.e., .npy) files.

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Type Members

  1. case class Header[D <: types.DataType](description: String, fortranOrder: Boolean, shape: core.Shape) extends Product with Serializable

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    Represents an NPY file header.

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def dataTypeToNumpyDType(dataType: types.DataType): String

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    Returns the Numpy data type string equivalent to the provided TensorFlow data type.

    Returns the Numpy data type string equivalent to the provided TensorFlow data type.

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  7. val dtypeParser: Regex

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    Regular expression used to parse Numpy data types.

    Regular expression used to parse Numpy data types.

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def numpyDTypeToDataType(dtype: String): types.DataType

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    Returns the TensorFlow data type equivalent to the provided Numpy data type string.

    Returns the TensorFlow data type equivalent to the provided Numpy data type string.

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  18. def read[D <: types.DataType](file: Path): tensors.Tensor[D]

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    Reads the tensor stored in the provided Numpy (i.e., .npy) file.

    Reads the tensor stored in the provided Numpy (i.e., .npy) file.

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  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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  24. def write[D <: types.DataType](tensor: tensors.Tensor[D], file: Path, fortranOrder: Boolean = false): Unit

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    Writes the provided tensor to the provided file, using the Numpy (i.e., .npy) file format.

    Writes the provided tensor to the provided file, using the Numpy (i.e., .npy) file format. Note that this method will replace the file, if it already exists.

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