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tiny-dnn / tiny-dnn / 1337
77%
master: 70%

Build:
Build:
LAST BUILD BRANCH: update_xtensor
DEFAULT BRANCH: master
Ran 09 Feb 2017 11:30AM UTC
Jobs 3
Files 83
Run time 41s
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edgarriba
Initial playground: activation_layer base class with relu_layer inheriting it. (#529)

* Add abstract base class for activation layer.

* Add relu_layer class and make it inherit from activation_layer.

* Rectified errors in backward_activation argument type mismatch.

* Use relu_layer in one of the gradient_check tests.

* Turn on travis builds for PRs on feat/decouple_activations.

* Avoid code duplication in relu_layer as constructor signature is same.

* Reformat code, move tight for loops into virtual functions.

- Calling virtual functions from inside a tight 'for' loop
  hurts performance.

- forward_activation and backward_activation will now take
  a vector of float_t (vec_t) and iterate through it.

* Add more constructors to activation_layer.

* Add docstrings to activation_layer methods.

* Modify relu_layer::backward_activation for better performance.

4680 of 6052 relevant lines covered (77.33%)

7534034.31 hits per line

Jobs
ID Job ID Ran Files Coverage
1 1337.1 (USE_SSE=OFF USE_AVX=OFF USE_DOUBLE=OFF) 09 Feb 2017 11:30AM UTC 0
74.22
Travis Job 1337.1
2 1337.2 (USE_SSE=ON USE_AVX=ON USE_DOUBLE=OFF) 09 Feb 2017 11:31AM UTC 0
76.16
Travis Job 1337.2
3 1337.3 (USE_SSE=ON USE_AVX=ON USE_DOUBLE=ON) 09 Feb 2017 11:31AM UTC 0
74.49
Travis Job 1337.3
Source Files on build 1337
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