Squeeze - 1 vs 13#
Next section compares an older to a newer version of the same operator after both definition are converted into markdown text. Green means an addition to the newer version, red means a deletion. Anything else is unchanged.
- Squeeze1 → Squeeze13 +6 -8
Squeeze1 → Squeeze13
RENAMED
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@@ -1 +1 @@
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1
1
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Remove single-dimensional entries from the shape of a tensor.
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2
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-
Takes
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2
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+
Takes a parameter axes with a list of axes to squeeze.
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3
3
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If axes is not provided, all the single dimensions will be removed from
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4
4
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the shape. If an axis is selected with shape entry not equal to one, an error is raised.
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5
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+
**Attributes**
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6
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+
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7
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+
* **axes**:
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8
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+
List of non-negative integers, indicate the dimensions to squeeze.
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9
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+
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5
10
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**Inputs**
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6
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-
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7
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-
Between 1 and 2 inputs.
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8
11
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* **data** (heterogeneous) - **T**:
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9
12
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Tensors with at least max(dims) dimensions.
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10
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-
* **axes** (optional, heterogeneous) - **tensor(int64)**:
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11
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-
List of integers indicating the dimensions to squeeze. Negative
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12
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-
value means counting dimensions from the back. Accepted range is
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13
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-
[-r, r-1] where r = rank(data).
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14
13
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**Outputs**
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15
14
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* **squeezed** (heterogeneous) - **T**:
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16
15
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Reshaped tensor with same data as input.
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17
16
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**Type Constraints**
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18
17
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* **T** in (
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19
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-
tensor(bfloat16),
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20
18
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tensor(bool),
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21
19
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tensor(complex128),
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22
20
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tensor(complex64),
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23
21
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tensor(double),
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24
22
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tensor(float),
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25
23
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tensor(float16),
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26
24
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tensor(int16),
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27
25
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tensor(int32),
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28
26
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tensor(int64),
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29
27
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tensor(int8),
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30
28
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tensor(string),
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31
29
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tensor(uint16),
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32
30
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tensor(uint32),
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33
31
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tensor(uint64),
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34
32
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tensor(uint8)
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35
33
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):
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36
34
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Constrain input and output types to all tensor types.
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