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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/01/27 08:11:49 UTC
[GitHub] [incubator-mxnet] ChaiBapchya opened a new pull request #17445:
[Large Tensor] Add support to Random Sample & Pdf ops
ChaiBapchya opened a new pull request #17445: [Large Tensor] Add support to Random Sample & Pdf ops
URL: https://github.com/apache/incubator-mxnet/pull/17445
## Description ##
Extend LT support to all the random family operators
## Checklist ##
### Essentials ###
Please feel free to remove inapplicable items for your PR.
- [ ] Changes are complete (i.e. I finished coding on this PR)
- [ ] All changes have test coverage:
- [ ] Code is well-documented:
- [ ] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
### Changes ###
- [ ] modified: src/operator/random/multisample_op.h
- [ ] modified: src/operator/random/pdf_op.h
## Tests ##
## PDF Ops
```
>>> mx.nd.random_pdf_negative_binomial(sample=mx.nd.random_normal(shape=(1, 2**32 + 1)), k=mx.nd.random_normal(shape=(1)), p=mx.nd.random_normal(shape=(1)))
[[ 3.6517045 0.08385151 0.33836576 ... 1.2580111 1.200235232.96391 ]]
<NDArray 1x4294967297 @cpu(0)>
```
```
>>> mx.nd.random_pdf_dirichlet(sample=mx.nd.random_uniform(shape=(2**32 + 1,5),low=0, high=1), alpha=mx.nd.random_uniform(shape=(5), low=0, high=1))
[0.02400445 0.09834412 0.00485084 ... 0.00059637 0.00062773 0.00020362]
<NDArray 4294967297 @cpu(0)>
```
```
>>> mx.nd.random_pdf_exponential(sample=mx.nd.random_normal(shape=(1,2**32 + 1)), lam=mx.nd.random_normal(shape=(1)))
[[0.7160165 0.8786655 1.8491699 ... 0.590301 0.19441505 0.99005574]]
<NDArray 1x4294967297 @cpu(0)>
```
```
>>> mx.nd.random_pdf_normal(sample=mx.nd.random_normal(shape=(1,2**32)), mu=mx.nd.random_normal(shape=(1)), sigma=mx.nd.random_normal(shape=(1)))
[[-0.08357255 -0.7204103 -0.52567625 ... -0.03446919 -0.02720401-0.27186853]]
<NDArray 1x4294967296 @cpu(0)>
```
```
>>> mx.nd.random_pdf_poisson(sample=mx.nd.random_normal(shape=(1, 2**32 + 1)), lam=mx.nd.random_normal(shape=(1)))
[[0.39283866 0.3568688 0.46852896 ... 0.1435355 0.19014826 0.1828634 ]]
<NDArray 1x4294967297 @cpu(0)>
```
```
>>> mx.nd.random_pdf_uniform(sample=mx.nd.random_normal(shape=(1,2**32 + 1)), low=mx.nd.random_normal(shape=(1)), high=mx.nd.random_normal(shape=(1)))
[[-0.53082603 -0.53082603 -0.53082603 ... -0.53082603 -0.53082603-0.53082603]]
<NDArray 1x4294967297 @cpu(0)>
```
## Sample Ops
```
>>> mx.nd.sample_uniform(shape=(2**32), low=mx.nd.random_normal(shape=(1,)), high=mx.nd.random_normal(shape=(1,)))
[[1.3453104 0.9783068 1.4285539 ... 2.1584532 0.990888 0.97627187]]
<NDArray 1x4294967296 @cpu(0)>
```
```
>>> mx.nd.sample_poisson(shape=(2**32 + 1), lam=mx.nd.random_normal(shape=(1)))
[[0. 0. 0. ... 0. 0. 0.]]
<NDArray 1x4294967297 @cpu(0)>
```
```
>>> mx.nd.sample_normal(mu=mx.nd.random_normal(shape=(2**32 + 1)), sigma=mx.nd.random_normal(shape=(2**32 + 1)))
[ 0.7192631 1.8029252 -3.1244457 ... 1.3172784 -0.44950533
0.5782782 ]
<NDArray 4294967297 @cpu(0)>
```
```
>>> mx.nd.sample_exponential(shape=(1), lam=mx.nd.random_normal(shape=(2**32 + 1)))
[[-2.564538 ]
[ 1.3046274]
[ 3.4207358]
...
[ 5.2444887]
[ 1.7304702]
[ 1.6264884]]
<NDArray 4294967297x1 @cpu(0)>
```
```
>>> mx.nd.sample_negative_binomial(k=mx.nd.random_uniform(shape=(2**32), low=0, high=1), p=mx.nd.random_uniform(shape=(2**32), low=0, high=1))
[ 0. 0. 0. ... 19. 1. 0.]
<NDArray 4294967296 @cpu(0)>
```
```
>>> mx.nd.sample_generalized_negative_binomial(alpha=mx.nd.random_uniform(shape=(2**32), low=0, high=1), mu=mx.nd.random_uniform(shape=(2**32), low=0, high=1))
[0. 0. 0. ... 2. 1. 0.]
<NDArray 4294967296 @cpu(0)>
```
```
>>> mx.nd.sample_gamma(alpha=mx.nd.random_uniform(shape=(2**32), low=0, high=1), beta=mx.nd.random_uniform(shape=(2**32), low=0, high=1))
[3.9847539e-05 9.7578183e-02 3.0167744e-04 ... 2.7813488e-03 5.8879163e-03
3.3052340e-01]
<NDArray 4294967296 @cpu(0)>
```
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[GitHub] [incubator-mxnet] apeforest merged pull request #17445: [Large
Tensor] Add support to Random Sample & Pdf ops
Posted by GitBox <gi...@apache.org>.
apeforest merged pull request #17445: [Large Tensor] Add support to Random Sample & Pdf ops
URL: https://github.com/apache/incubator-mxnet/pull/17445
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[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17445: [Large
Tensor] Add support to Random Sample & Pdf ops
Posted by GitBox <gi...@apache.org>.
ChaiBapchya commented on issue #17445: [Large Tensor] Add support to Random Sample & Pdf ops
URL: https://github.com/apache/incubator-mxnet/pull/17445#issuecomment-580484349
Yes, already covered.
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