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Clarified spec

This commit is contained in:
Davis King 2015-12-08 08:25:29 -05:00
parent 5f8e41a889
commit 3222a3af6b
1 changed files with 5 additions and 6 deletions
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11
dlib/dnn/layers_abstract.h
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@ -192,10 +192,10 @@ namespace dlib
requires
- SUBNET implements the SUBNET interface defined at the top of this file.
- setup() has been called.
- computed_output is the tensor resulting from calling forward(sub,computed_output).
- computed_output is the tensor resulting from calling forward(sub,computed_output).
Moreover, this was the most recent call to forward(). This means that
backward() is allowed to cache intermediate results computed during
forward() and use them for the backward computation.
forward() is allowed to cache intermediate results so they can be used
during the backward computation.
- have_same_dimensions(gradient_input, computed_output)
- have_same_dimensions(sub.get_gradient_input(), sub.get_output()) == true
- have_same_dimensions(params_grad, get_layer_params()) == true
@ -248,9 +248,8 @@ namespace dlib
requires
- setup() has been called.
- computed_output is the tensor resulting from the most recent call to
forward_inplace(). This means that backward_inplace() is allowed to
cache intermediate results computed during forward_inplace() and use them
for the backward computation.
forward_inplace(). This means that forward_inplace() is allowed to cache
intermediate results so they can be used during the backward computation.
- have_same_dimensions(gradient_input, data_grad) == true
- have_same_dimensions(gradient_input, computed_output) == true
- have_same_dimensions(params_grad, get_layer_params()) == true