tf.raw_ops.SparseMatrixMatMul
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Matrix-multiplies a sparse matrix with a dense matrix.
tf.raw_ops.SparseMatrixMatMul(
a,
b,
transpose_a=False,
transpose_b=False,
adjoint_a=False,
adjoint_b=False,
transpose_output=False,
conjugate_output=False,
name=None
)
Returns a dense matrix.
For inputs A and B, where A is CSR and B is dense; this op returns a dense C;
If transpose_output is false, returns:
C = A . B
If transpose_output is true, returns:
C = transpose(A . B) = transpose(B) . transpose(A)
where the transposition is performed along the two innermost (matrix)
dimensions.
If conjugate_output is true, returns:
C = conjugate(A . B) = conjugate(A) . conjugate(B)
If both conjugate_output and transpose_output are true, returns:
C = conjugate(transpose(A . B)) = conjugate(transpose(B)) .
conjugate(transpose(A))
Args |
|---|
a
|
A Tensor of type variant. A CSRSparseMatrix.
|
b
|
A Tensor. A dense tensor.
|
transpose_a
|
An optional bool. Defaults to False.
Indicates whether a should be transposed.
|
transpose_b
|
An optional bool. Defaults to False.
Indicates whether b should be transposed.
|
adjoint_a
|
An optional bool. Defaults to False.
Indicates whether a should be conjugate-transposed.
|
adjoint_b
|
An optional bool. Defaults to False.
Indicates whether b should be conjugate-transposed.
|
transpose_output
|
An optional bool. Defaults to False.
Transposes the product of a and b.
|
conjugate_output
|
An optional bool. Defaults to False.
Conjugates the product of a and b.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as b.
|
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Last updated 2024-04-26 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.SparseMatrixMatMul\n\n\u003cbr /\u003e\n\nMatrix-multiplies a sparse matrix with a dense matrix.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.SparseMatrixMatMul`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseMatrixMatMul)\n\n\u003cbr /\u003e\n\n tf.raw_ops.SparseMatrixMatMul(\n a,\n b,\n transpose_a=False,\n transpose_b=False,\n adjoint_a=False,\n adjoint_b=False,\n transpose_output=False,\n conjugate_output=False,\n name=None\n )\n\nReturns a dense matrix.\nFor inputs A and B, where A is CSR and B is dense; this op returns a dense C;\n\nIf transpose_output is false, returns: \n\n C = A . B\n\nIf transpose_output is `true`, returns: \n\n C = transpose(A . B) = transpose(B) . transpose(A)\n\nwhere the transposition is performed along the two innermost (matrix)\ndimensions.\n\nIf conjugate_output is `true`, returns: \n\n C = conjugate(A . B) = conjugate(A) . conjugate(B)\n\nIf both conjugate_output and transpose_output are `true`, returns: \n\n C = conjugate(transpose(A . B)) = conjugate(transpose(B)) .\n conjugate(transpose(A))\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------------|------------------------------------------------------------------------------------------------|\n| `a` | A `Tensor` of type `variant`. A CSRSparseMatrix. |\n| `b` | A `Tensor`. A dense tensor. |\n| `transpose_a` | An optional `bool`. Defaults to `False`. Indicates whether `a` should be transposed. |\n| `transpose_b` | An optional `bool`. Defaults to `False`. Indicates whether `b` should be transposed. |\n| `adjoint_a` | An optional `bool`. Defaults to `False`. Indicates whether `a` should be conjugate-transposed. |\n| `adjoint_b` | An optional `bool`. Defaults to `False`. Indicates whether `b` should be conjugate-transposed. |\n| `transpose_output` | An optional `bool`. Defaults to `False`. Transposes the product of `a` and `b`. |\n| `conjugate_output` | An optional `bool`. Defaults to `False`. Conjugates the product of `a` and `b`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `b`. ||\n\n\u003cbr /\u003e"]]
