Flatten - 9 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Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.
- Flatten9 → Flatten13 +4 -5
Flatten9 → Flatten13
RENAMED
@@ -1 +1 @@
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1
1
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Flattens the input tensor into a 2D matrix. If input tensor has shape
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2
2
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(d_0, d_1, ... d_n) then the output will have shape
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3
3
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(d_0 X d_1 ... d_(axis-1), d_axis X d_(axis+1) ... X dn).
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4
4
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**Attributes**
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5
5
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* **axis**:
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6
6
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Indicate up to which input dimensions (exclusive) should be
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7
7
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flattened to the outer dimension of the output. The value for axis
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8
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-
must be in the range [
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8
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+
must be in the range [0, R], where R is the rank of the input
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9
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-
tensor. Negative value means counting dimensions from the back. When
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10
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-
axis = 0, the shape of the output tensor is (1, (d_0 X
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9
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+
tensor. When axis = 0, the shape of the output tensor is (1, (d_0 X
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11
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-
where the shape of the input tensor is (d_0, d_1, ...
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10
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+
d_1 ... d_n), where the shape of the input tensor is (d_0, d_1, ...
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11
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+
d_n).
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12
12
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**Inputs**
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13
13
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* **input** (heterogeneous) - **T**:
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14
14
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A tensor of rank >= axis.
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15
15
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**Outputs**
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16
16
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* **output** (heterogeneous) - **T**:
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17
17
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A 2D tensor with the contents of the input tensor, with input
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18
18
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dimensions up to axis flattened to the outer dimension of the output
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19
19
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and remaining input dimensions flattened into the inner dimension of
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20
20
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the output.
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21
21
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**Type Constraints**
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22
22
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* **T** in (
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23
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-
tensor(bfloat16),
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24
23
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tensor(bool),
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25
24
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tensor(complex128),
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26
25
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tensor(complex64),
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27
26
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tensor(double),
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28
27
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tensor(float),
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29
28
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tensor(float16),
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30
29
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tensor(int16),
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31
30
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tensor(int32),
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32
31
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tensor(int64),
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33
32
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tensor(int8),
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34
33
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tensor(string),
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35
34
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tensor(uint16),
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36
35
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tensor(uint32),
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37
36
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tensor(uint64),
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38
37
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tensor(uint8)
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39
38
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):
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40
39
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Constrain input and output to all tensor types.
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