Alexander Stoyakin
c4307384f3
Fixed shape for muli
2019-10-16 12:59:25 +03:00
Alexander Stoyakin
d5002b14c7
New ops wrappers
2019-10-16 12:59:08 +03:00
Alex Black
b9a4b0f25f
Update links ( #8292 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-16 12:59:52 +11:00
Alexandre Boulanger
171ce51f46
RL4J: Use Nd4j Random instead of java.util.Random ( #8282 )
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* Changed to use Nd4j Random instead of java.util.Random
Signed-off-by: unknown <aboulang2002@yahoo.com>
* Changed to use Nd4j.getRandom() instead of the factory
Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
2019-10-16 10:56:24 +09:00
shugeo
df2448613e
Added gamma distribution functions.
2019-10-15 20:00:07 +03:00
AlexDBlack
2d750b69e5
Merge remote-tracking branch 'konduit/master'
2019-10-14 17:21:23 +11:00
raver119
d5568df7b3
Merge pull request #10 from KonduitAI/shugeo_fake_quant2
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Shugeo fake quant2
2019-10-10 18:40:02 +03:00
shugeo
ace65355c5
Added doc for fake_quant_with_min_max* op helpers cuda implementations.
2019-10-10 18:35:28 +03:00
shugeo
c890de5a7b
Added doc for fake_quant_with_min_max* op helpers implementations.
2019-10-10 18:31:17 +03:00
shugeo
c3f755d975
Refactored helpers both for cuda and cpu platforms.
2019-10-10 18:02:49 +03:00
shugeo
a09cb5e2be
Added doc for fake_quant_with_min_max_per_channel op declaration.
2019-10-10 17:13:33 +03:00
shugeo
92636b0b86
Eliminated waste operator.
2019-10-10 17:08:59 +03:00
shugeo
d5b352273d
Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. Final revision.
2019-10-10 16:51:29 +03:00
shugeo
02d8616692
Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op.
2019-10-10 16:40:56 +03:00
shugeo
3504b0cda9
Implemented fake_quant_with_min_max_vars_per_channel fop cuda helper. The first working revision.
2019-10-10 15:44:50 +03:00
shugeo
753565145c
Refactored fake_quant_with_min_max_vars op cuda implementation.
2019-10-10 14:00:49 +03:00
shugeo
c13e945a96
Fixed fake_quant_with_min_max_vars op and tests.
2019-10-10 13:23:11 +03:00
Alexander Stoyakin
fa8105bf0f
Merge pull request #9 from KonduitAI/asto_nd4s_indexing
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[WIP] Indexing for INDArray in nd4s
2019-10-10 11:03:06 +03:00
Alexander Stoyakin
156fba4f77
Minor fix
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-10 10:49:07 +03:00
Alexander Stoyakin
be70bea359
Operator :: for INDArray
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-10 10:43:32 +03:00
shugeo
3c0c59ab88
Refactored fake_quant_with_min_max_vars op.
2019-10-09 22:09:33 +03:00
shugeo
352f1eee80
Implemented fake_quant_with_min_max_per_channel helper for cpu platform. The first approach.
2019-10-09 21:39:59 +03:00
Alexander Stoyakin
0de8523ebd
Indexing syntax changed
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-09 16:07:20 +03:00
shugeo
d0cbd33b0e
Added input checks for op.
2019-10-09 15:52:13 +03:00
shugeo
3a89e51811
Added tests for fake_quant_with_min_max_vars_per_channel op.
2019-10-09 13:38:18 +03:00
Alexander Stoyakin
f515151f5f
Merge pull request #8 from KonduitAI/asto_nd4s
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[WIP] Indexing improvements in nd4s
2019-10-09 11:39:51 +03:00
Alexandre Boulanger
3aa51e210a
RL4J: Extract TD Target calculations (StandardDQN and DoubleDQN) ( #8267 )
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Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
2019-10-09 09:14:47 +09:00
Alexander Stoyakin
8472782d7f
More tests
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-08 19:08:43 +03:00
shugeo
cb56b0b06a
The first approach for fake_quant_with_min_max_vars_per_channel op implementation.
2019-10-08 19:00:41 +03:00
Alexander Stoyakin
4956048a11
Tests added
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-08 17:38:43 +03:00
Alexander Stoyakin
b36b3fa1aa
Some sugar
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-08 16:41:12 +03:00
shugeo
dbabd11f83
Merge pull request #7 from KonduitAI/shugeo_image_bordering
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Shugeo image bordering
2019-10-08 15:47:37 +03:00
shugeo
8fe5a1fa96
The working implementation of draw_bounding_boxes op.
2019-10-08 15:42:27 +03:00
Robert Altena
50b13fadc8
nd4j-api cleanup. ( #8273 )
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* nd4j-api cleanup.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* restore deleted schemes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-08 21:48:22 +11:00
shugeo
30a8af566c
The first working implementation of cuda kernel for draw_bounding_boxes op helper.
2019-10-08 13:45:18 +03:00
shugeo
ae09cfee32
Next approach of cuda imlementation for draw_bounding_boxes op helper.
2019-10-08 00:09:46 +03:00
shugeo
6cf3a8fa9c
Refactored cpu implementatio and added cuda aproach.
2019-10-07 17:51:07 +03:00
Alexander Stoyakin
7a1e327516
Indexing demo
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Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-10-07 16:59:47 +03:00
shugeo
78443ffebf
Working implementation of draw_bounding_boxes op for cpu.
2019-10-07 15:04:44 +03:00
shugeo
16a66a65e3
Added helper declaration for draw_bounding_boxes op.
2019-10-04 21:16:34 +03:00
shugeo
53a2ebddbe
Added test and helpers for draw_bounding_boxes op both cpu and cuda related.
2019-10-04 20:46:26 +03:00
shugeo
8f70b4441f
draw_bounding_boxes op implementation. Inital revision.
2019-10-04 18:32:21 +03:00
raver119
b8f2a83a5a
Merge pull request #5 from KonduitAI/shugeo_divnonan_full
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Added implementation for divide_no_nan op and tests.
2019-10-04 10:33:04 +03:00
shugeo
908e4c4912
Added implementation for divide_no_nan op and tests.
2019-10-04 10:29:15 +03:00
raver119
2381c51480
Merge pull request #4 from KonduitAI/revert-3-shugeo_div_no_nan
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Revert "Implement divide_no_nan op."
2019-10-03 20:26:15 +03:00
raver119
cff26f13c5
Revert "Implement divide_no_nan op."
2019-10-03 20:25:52 +03:00
raver119
bbfa41cbc8
Merge pull request #3 from KonduitAI/shugeo_div_no_nan
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Implement divide_no_nan op.
2019-10-03 18:27:12 +03:00
shugeo
6eaca179d6
Implement divide_no_nan op.
2019-10-03 18:22:17 +03:00
raver119
d2e98564d4
Merge pull request #2 from KonduitAI/shugeo_bincast
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[WIP] Shugeo bitcast
2019-10-03 14:27:24 +03:00
Robert Altena
1f4ad08305
refactoring activations. ( #8261 )
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Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-03 20:35:27 +10:00