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Minor fixes for numpy api docs

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This commit is contained in:
Sergii Khomenko 2020-10-21 15:20:44 +02:00
parent b39bc5f1f0
commit 91f3932e39
1 changed files with 3 additions and 3 deletions
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tensorflow/python/ops/numpy_ops/__init__.py
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@ -19,7 +19,7 @@ operations. APIs are based on and have been tested with NumPy 1.16 version.
The set of supported APIs may be expanded over time. Also future releases may The set of supported APIs may be expanded over time. Also future releases may
change the baseline version of NumPy API being supported. A list of some change the baseline version of NumPy API being supported. A list of some
systematic differences with NumPy are listed later in the "Differences with systematic differences with NumPy is listed later in the "Differences with
NumPy" section. NumPy" section.
## Getting Started ## Getting Started
@ -31,7 +31,7 @@ In the code snippets below, we will assume that `tf.experimental.numpy` is
imported as `tnp` and NumPy is imported as `np` imported as `tnp` and NumPy is imported as `np`
```python ```python
print(tnp.ones([2,1]) + tnp.ones([1, 2])) print(tnp.ones([2,1]) + np.ones([1, 2]))
``` ```
## Types ## Types
@ -153,7 +153,7 @@ Here is a non-exhaustive list of differences:
are not supported. are not supported.
* Only a subset of functions and modules are supported. This set will be * Only a subset of functions and modules are supported. This set will be
expanded over time. For supported functions, some arguments or argument expanded over time. For supported functions, some arguments or argument
values may not be supported. This differences are generally provide in the values may not be supported. These differences are generally provided in the
function comments. Full `ufunc` support is also not provided. function comments. Full `ufunc` support is also not provided.
* Buffer mutation is currently not supported. `ndarrays` wrap immutable * Buffer mutation is currently not supported. `ndarrays` wrap immutable
tensors. This means that output buffer arguments (e..g `out` in ufuncs) are tensors. This means that output buffer arguments (e..g `out` in ufuncs) are