Flatten - 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Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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.

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  1. Flatten1 → Flatten13 +6 -19
Flatten1 → Flatten13 RENAMED
@@ -1 +1 @@
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  Flattens the input tensor into a 2D matrix. If input tensor has shape
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  (d_0, d_1, ... d_n) then the output will have shape
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  (d_0 X d_1 ... d_(axis-1), d_axis X d_(axis+1) ... X dn).
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  **Attributes**
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  * **axis**:
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  Indicate up to which input dimensions (exclusive) should be
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  flattened to the outer dimension of the output. The value for axis
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- must be in the range [-r, r], where r is the rank of the input
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+ must be in the range [0, R], where R is the rank of the input
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- tensor. Negative value means counting dimensions from the back. When
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- axis = 0, the shape of the output tensor is (1, (d_0 X d_1 ... d_n),
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+ tensor. When axis = 0, the shape of the output tensor is (1, (d_0 X
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- where the shape of the input tensor is (d_0, d_1, ... d_n).
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+ d_1 ... d_n), where the shape of the input tensor is (d_0, d_1, ...
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+ d_n).
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  **Inputs**
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  * **input** (heterogeneous) - **T**:
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  A tensor of rank >= axis.
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  **Outputs**
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  * **output** (heterogeneous) - **T**:
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  A 2D tensor with the contents of the input tensor, with input
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  dimensions up to axis flattened to the outer dimension of the output
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  and remaining input dimensions flattened into the inner dimension of
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  the output.
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  **Type Constraints**
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  * **T** in (
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- tensor(bfloat16),
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- tensor(bool),
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- tensor(complex128),
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- tensor(complex64),
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  tensor(double),
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  tensor(float),
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- tensor(float16),
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+ tensor(float16)
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- tensor(int16),
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- tensor(int32),
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- tensor(int64),
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- tensor(int8),
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- tensor(string),
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- tensor(uint16),
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- tensor(uint32),
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- tensor(uint64),
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- tensor(uint8)
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  ):
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- Constrain input and output to all tensor types.? ^^ -----
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+ Constrain input and output types to float tensors.? ++++++ +++ ^