Add public predict method for vector of tensors#396
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nyanp merged 3 commits intoNov 12, 2016
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@reunanen Could you provide a small test for this? |
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@edgarriba Ok, will try to find the time to do this. |
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@edgarriba Added a test. |
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LGDT @nyanp review also and merge |
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Looks good. @reunanen |
xuyuan
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Nov 16, 2016
# By nyanp (59) and others # Via GitHub (3) and others * new_dnn: (145 commits) Typo fix (tiny-dnn#404) remove warnings (tiny-dnn#387) add a workaround to mitigate memory consumption problem Update author list Fix error update comments&docs Add some tests & update docs (tiny-dnn#381) Fix bugs in test implementation (tiny-dnn#397) Add public predict method for vector of tensors (tiny-dnn#396) Minor optimization in load_weights_fullyconnected: get dst in and out sizes only once (tiny-dnn#395) rename custom -> internal (tiny-dnn#392) fix several warnings (tiny-dnn#391) fix tests bugs by adding device_t NONE and enable core tests (tiny-dnn#390) rename tiny_dnn backend to custom (tiny-dnn#385) refactor max_pool layer to op (tiny-dnn#376) Fix another compiler warning, this time when building 64-bit (so sizeof size_t > sizeof cnn_size_t) (tiny-dnn#384) Make result::print_detail a const function (tiny-dnn#383) Fix an unnecessary compiler warning (tiny-dnn#382) update README.md with GTest Fix modification of CMAKE_CXX_FLAGS_RELEASE and CMAKE_CXX_FLAGS_DEBUG in CMakeLists.txt (tiny-dnn#379) ...
pansk
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Nov 17, 2016
* Add public predict method for vector of tensors * Add test for parallel prediction * Fix some unnecessary compiler warnings by adding explicit typecasting
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For completeness. Want to
fpropmultiple samples in parallel (in particular because of howfully_connected_op_customandconv2d_op_customare parallelized at the moment).