Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
SparseCrossV2
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Generates sparse cross from a list of sparse and dense tensors.
The op takes two lists, one of 2D `SparseTensor` and one of 2D `Tensor`, each
representing features of one feature column. It outputs a 2D `SparseTensor` with
the batchwise crosses of these features.
For example, if the inputs are
inputs[0]: SparseTensor with shape = [2, 2]
[0, 0]: "a"
[1, 0]: "b"
[1, 1]: "c"
inputs[1]: SparseTensor with shape = [2, 1]
[0, 0]: "d"
[1, 0]: "e"
inputs[2]: Tensor [["f"], ["g"]]
then the output will be
shape = [2, 2]
[0, 0]: "a_X_d_X_f"
[1, 0]: "b_X_e_X_g"
[1, 1]: "c_X_e_X_g"
if hashed_output=true then the output will be
shape = [2, 2]
[0, 0]: FingerprintCat64(
Fingerprint64("f"), FingerprintCat64(
Fingerprint64("d"), Fingerprint64("a")))
[1, 0]: FingerprintCat64(
Fingerprint64("g"), FingerprintCat64(
Fingerprint64("e"), Fingerprint64("b")))
[1, 1]: FingerprintCat64(
Fingerprint64("g"), FingerprintCat64(
Fingerprint64("e"), Fingerprint64("c")))
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
|
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
Factory method to create a class wrapping a new SparseCrossV2 operation.
Parameters
| scope |
current scope |
| indices |
2-D. Indices of each input `SparseTensor`. |
| values |
1-D. values of each `SparseTensor`. |
| shapes |
1-D. Shapes of each `SparseTensor`. |
| denseInputs |
2-D. Columns represented by dense `Tensor`. |
| sep |
string used when joining a list of string inputs, can be used as separator later. |
Returns
- a new instance of SparseCrossV2
public
Output<Long>
outputIndices
()
2-D. Indices of the concatenated `SparseTensor`.
public
Output<Long>
outputShape
()
1-D. Shape of the concatenated `SparseTensor`.
public
Output<String>
outputValues
()
1-D. Non-empty values of the concatenated or hashed
`SparseTensor`.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2022-02-12 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-02-12 UTC."],[],[],null,["# SparseCrossV2\n\npublic final class **SparseCrossV2** \nGenerates sparse cross from a list of sparse and dense tensors.\n\n\nThe op takes two lists, one of 2D \\`SparseTensor\\` and one of 2D \\`Tensor\\`, each\nrepresenting features of one feature column. It outputs a 2D \\`SparseTensor\\` with\nthe batchwise crosses of these features.\n\n\nFor example, if the inputs are\n\n\ninputs\\[0\\]: SparseTensor with shape = \\[2, 2\\]\n\\[0, 0\\]: \"a\"\n\\[1, 0\\]: \"b\"\n\\[1, 1\\]: \"c\"\n\n\ninputs\\[1\\]: SparseTensor with shape = \\[2, 1\\]\n\\[0, 0\\]: \"d\"\n\\[1, 0\\]: \"e\"\n\n\ninputs\\[2\\]: Tensor \\[\\[\"f\"\\], \\[\"g\"\\]\\]\n\n\nthen the output will be\n\n\nshape = \\[2, 2\\]\n\\[0, 0\\]: \"a_X_d_X_f\"\n\\[1, 0\\]: \"b_X_e_X_g\"\n\\[1, 1\\]: \"c_X_e_X_g\"\n\n\nif hashed_output=true then the output will be\n\n\nshape = \\[2, 2\\]\n\\[0, 0\\]: FingerprintCat64(\nFingerprint64(\"f\"), FingerprintCat64(\nFingerprint64(\"d\"), Fingerprint64(\"a\")))\n\\[1, 0\\]: FingerprintCat64(\nFingerprint64(\"g\"), FingerprintCat64(\nFingerprint64(\"e\"), Fingerprint64(\"b\")))\n\\[1, 1\\]: FingerprintCat64(\nFingerprint64(\"g\"), FingerprintCat64(\nFingerprint64(\"e\"), Fingerprint64(\"c\")))\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [SparseCrossV2](/api_docs/java/org/tensorflow/op/core/SparseCrossV2) | [create](/api_docs/java/org/tensorflow/op/core/SparseCrossV2#create(org.tensorflow.op.Scope,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003cjava.lang.Long\u003e\u003e,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003c?\u003e\u003e,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003cjava.lang.Long\u003e\u003e,%20java.lang.Iterable\u003corg.tensorflow.Operand\u003c?\u003e\u003e,%20org.tensorflow.Operand\u003cjava.lang.String\u003e))([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e\\\u003e indices, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e values, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e\\\u003e shapes, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e denseInputs, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cString\\\u003e sep) Factory method to create a class wrapping a new SparseCrossV2 operation. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cLong\\\u003e | [outputIndices](/api_docs/java/org/tensorflow/op/core/SparseCrossV2#outputIndices())() 2-D. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cLong\\\u003e | [outputShape](/api_docs/java/org/tensorflow/op/core/SparseCrossV2#outputShape())() 1-D. |\n| [Output](/api_docs/java/org/tensorflow/Output)\\\u003cString\\\u003e | [outputValues](/api_docs/java/org/tensorflow/op/core/SparseCrossV2#outputValues())() 1-D. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.PrimitiveOp](/api_docs/java/org/tensorflow/op/PrimitiveOp) \n\n|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/api_docs/java/org/tensorflow/op/PrimitiveOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/api_docs/java/org/tensorflow/op/PrimitiveOp#hashCode())() |\n| [Operation](/api_docs/java/org/tensorflow/Operation) | [op](/api_docs/java/org/tensorflow/op/PrimitiveOp#op())() Returns the underlying [Operation](/api_docs/java/org/tensorflow/Operation) |\n| final String | [toString](/api_docs/java/org/tensorflow/op/PrimitiveOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nPublic Methods\n--------------\n\n#### public static [SparseCrossV2](/api_docs/java/org/tensorflow/op/core/SparseCrossV2)\n**create**\n([Scope](/api_docs/java/org/tensorflow/op/Scope) scope, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e\\\u003e indices, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e values, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cLong\\\u003e\\\u003e shapes, Iterable\\\u003c[Operand](/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e\\\u003e denseInputs, [Operand](/api_docs/java/org/tensorflow/Operand)\\\u003cString\\\u003e sep)\n\nFactory method to create a class wrapping a new SparseCrossV2 operation. \n\n##### Parameters\n\n| scope | current scope |\n| indices | 2-D. Indices of each input \\`SparseTensor\\`. |\n| values | 1-D. values of each \\`SparseTensor\\`. |\n| shapes | 1-D. Shapes of each \\`SparseTensor\\`. |\n| denseInputs | 2-D. Columns represented by dense \\`Tensor\\`. |\n| sep | string used when joining a list of string inputs, can be used as separator later. |\n|-------------|-----------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of SparseCrossV2 \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cLong\\\u003e\n**outputIndices**\n()\n\n2-D. Indices of the concatenated \\`SparseTensor\\`. \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cLong\\\u003e\n**outputShape**\n()\n\n1-D. Shape of the concatenated \\`SparseTensor\\`. \n\n#### public [Output](/api_docs/java/org/tensorflow/Output)\\\u003cString\\\u003e\n**outputValues**\n()\n\n1-D. Non-empty values of the concatenated or hashed\n\\`SparseTensor\\`."]]
