add comments of Tensor and Tensormath #31
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psyyz10
reviewed
Oct 10, 2016
| * should be equal to the dimension number of the tensor. | ||
| * Tensor should not be empty. | ||
| * | ||
| * @param d1,( d2, d3, d4, d5) the given position |
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d1,( d2, d3, d4, d5) or d1 d2, d3, d4, d5 ?
psyyz10
reviewed
Oct 10, 2016
| def view(sizes: Array[Int]): Tensor[T] | ||
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| /** | ||
| * Returns a tensor which contains all slices of size size |
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why there are two 'size' words?
psyyz10
reviewed
Oct 10, 2016
| implicit ev: TensorNumeric[T]): Tensor[T] = new DenseTensor[T](d1, d2, d3, d4, d5) | ||
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| /** | ||
| * Create a tensor on an given dimensions. The tensor size will be the product of dims |
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on given dimensions (remove an)
psyyz10
reviewed
Oct 10, 2016
| DenseTensor.size2Stride(dims.toArray), dims.length) | ||
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| /** | ||
| * Create a tensor on an given sizes. The tensor size will be the product of sizes |
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on given sizes (remove an)
psyyz10
reviewed
Oct 10, 2016
| } | ||
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| /** | ||
| * create a tensor with an given tensor. The tensor will have same size |
psyyz10
reviewed
Oct 10, 2016
| } | ||
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| /** | ||
| * create a tensor with an given tensor. The tensor will have same size |
psyyz10
reviewed
Oct 10, 2016
| implicit ev: TensorNumeric[T]): Tensor[T] = new DenseTensor(other) | ||
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| /** | ||
| * create a tensor with an given breeze vector. The tensor will have same size |
psyyz10
reviewed
Oct 10, 2016
| if (matrix.isTranspose) Array(1, matrix.majorStride) else Array(matrix.majorStride, 1)) | ||
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| /** | ||
| * create a tensor with an given spark Densematrix. The tensor will have same size with |
psyyz10
reviewed
Oct 10, 2016
| apply[Double](Storage(vector.toArray)) | ||
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| /** | ||
| * create a tensor with an given breeze matrix. The tensor will have same size with |
psyyz10
reviewed
Oct 10, 2016
| vector.offset + 1, Array(vector.length), Array(vector.stride)) | ||
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| /** | ||
| * create a tensor with an given spark Densevector. The tensor will have same size |
psyyz10
reviewed
Oct 10, 2016
| package com.intel.analytics.sparkdl.tensor | ||
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| /** | ||
| * It provides multiple math operation function for manipulating Tensor objects. |
psyyz10
reviewed
Oct 10, 2016
| /** | ||
| * It provides multiple math operation function for manipulating Tensor objects. | ||
| * All functions support both allocating a new Tensor to return the result | ||
| * and treating the caller as the target Tensor, in which case the target Tensor(s) |
psyyz10
reviewed
Oct 10, 2016
| * It provides multiple math operation function for manipulating Tensor objects. | ||
| * All functions support both allocating a new Tensor to return the result | ||
| * and treating the caller as the target Tensor, in which case the target Tensor(s) | ||
| * will be resized accordingly and filled with result. This property is especially |
psyyz10
reviewed
Oct 10, 2016
| * All functions support both allocating a new Tensor to return the result | ||
| * and treating the caller as the target Tensor, in which case the target Tensor(s) | ||
| * will be resized accordingly and filled with result. This property is especially | ||
| * useful when one wants have tight control over when memory is allocated. |
psyyz10
reviewed
Oct 10, 2016
| } | ||
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| /** | ||
| * subtract all elements of this with value not in place. |
ShuhanYan
changed the title
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