tf.raw_ops.DiagPart
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Returns the diagonal part of the tensor.
tf.raw_ops.DiagPart(
input, name=None
)
This operation returns a tensor with the diagonal part
of the input. The diagonal part is computed as follows:
Assume input has dimensions [D1,..., Dk, D1,..., Dk], then the output is a
tensor of rank k with dimensions [D1,..., Dk] where:
diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik].
For example:
# 'input' is [[1, 0, 0, 0]
[0, 2, 0, 0]
[0, 0, 3, 0]
[0, 0, 0, 4]]
tf.diag_part(input) ==> [1, 2, 3, 4]
Args |
|---|
input
|
A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int32, int64, complex64, complex128.
Rank k tensor where k is even and not zero.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as input.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.DiagPart\n\n\u003cbr /\u003e\n\nReturns the diagonal part of the tensor.\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.DiagPart`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DiagPart)\n\n\u003cbr /\u003e\n\n tf.raw_ops.DiagPart(\n input, name=None\n )\n\nThis operation returns a tensor with the `diagonal` part\nof the `input`. The `diagonal` part is computed as follows:\n\nAssume `input` has dimensions `[D1,..., Dk, D1,..., Dk]`, then the output is a\ntensor of rank `k` with dimensions `[D1,..., Dk]` where:\n\n`diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik]`.\n\n#### For example:\n\n # 'input' is [[1, 0, 0, 0]\n [0, 2, 0, 0]\n [0, 0, 3, 0]\n [0, 0, 0, 4]]\n\n tf.diag_part(input) ==\u003e [1, 2, 3, 4]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`. Rank k tensor where k is even and not zero. |\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 `input`. ||\n\n\u003cbr /\u003e"]]
