| 535ccdb | mareynolds | 24 August 2018, 13:57:33 UTC | Fix docstring typo PiperOrigin-RevId: 210092924 | 16 October 2018, 12:57:12 UTC |
| c776d06 | Deepmind | 24 August 2018, 11:46:14 UTC | Sonnet embed: print warning about using default initializer. Eventually we will switch to using a default initializer of stddev=1. PiperOrigin-RevId: 210082974 | 16 October 2018, 12:57:04 UTC |
| a5fcdac | arahuja | 23 August 2018, 09:14:11 UTC | Add clone method to snt.nets.MLP PiperOrigin-RevId: 209902324 | 16 October 2018, 12:56:57 UTC |
| 257a62c | tomhennigan | 20 August 2018, 13:08:46 UTC | Make `snt.scale_gradient` support eager mode. Much like optimizers and other tesor taking APIs, in eager mode we require users to pass us a callable which they want to scale the gradients of. >>> f = lambda x: tf.pow(x, 2) >>> f = scale_gradient(f, scale=0.1) >>> dy_scaled, tfe.gradients_function(f)(x) >>> print dy_scaled.numpy() # 0.2 PiperOrigin-RevId: 209405560 | 16 October 2018, 12:56:50 UTC |
| 0e649da | tomhennigan | 17 August 2018, 11:26:11 UTC | Implement same graph check using graph keys. tl;dr - resolves the last known issues with Sonnet and `tfe.defun`. Inside a `defun` we observe a different graph instance each time the function is traced. Sonnet asserts that each time a module is traced that it's graph has not changed. This CL changes that test to check that the graph we observe each time has the same "key" (rather than being the same instance). The key is akin to a primary key for the graph. Graph instances with the same key form part of the same parent graph (e.g. a sub-graph representing a function with key "a" shares variables with a regular tf.Graph with key "a" which it is a part of). DifferentGraphError used to fire undesirably in defun in the following cases (both of which are fixed in this cl): 1) `enter_variable_scope` is used in conjunction with `_build` (e.g. in the constructor or via `snt.reuse_variables`. 2) `defun` re-traces `_build` due to the input signature changing (e.g. Tensor shape changing, or Python parameter values changing). PiperOrigin-RevId: 209131983 | 16 October 2018, 12:56:44 UTC |
| 6a42160 | Deepmind | 15 August 2018, 08:59:31 UTC | Pass optional named arguments to the wrapped sonnet module. Named arguments can be used to change the behavior of sonnet modules. For example, it's not uncommon to use dropout to regularize a deep neural network. However, dropout should only be used during the training of the network, not afterwards. PiperOrigin-RevId: 208786599 | 16 October 2018, 12:56:36 UTC |
| 1fb3f4e | tomhennigan | 14 August 2018, 10:15:37 UTC | Make MLP/ConvNet compatible with `tfe.defun`. PiperOrigin-RevId: 208621259 | 16 October 2018, 12:56:29 UTC |
| 0452bbd | tomhennigan | 09 August 2018, 12:48:53 UTC | Make use of `variable_creator_scope` for variable tracking. Variable creators are stackable factory functions used to control variable creation. By placing a variable creator at the top of the stack we can observe all variables being created or re-requested (e.g. via `tf.get_variable`) and store them in `self._all_variables`. Additionally this works for the case where a `custom_getter` creates more than one variable (as in the "Bayes by Backprop" case). PiperOrigin-RevId: 208034949 | 16 October 2018, 12:56:22 UTC |
| 1f310fd | tomhennigan | 03 August 2018, 19:33:02 UTC | Simplify module stacks by removing weakref to graph. We perform same-graph checks agressively when the module is connected, so it seems to me there is no simple way to end up with multiple-graphs in the module stack. The reason I'd like to remove this is that it causes some weirdness with `defun`, since if two modules `defun` themselves you get two different capturing graphs which would cause the module stack functionality to break down: >>> @tfe.defun ... def foo(): ... print 'foo', id(tf.get_default_graph()) ... return bar() >>> @tfe.defun ... def bar(): ... print 'bar', id(tf.get_default_graph()) ... return tf.ones([]) >>> id(tf.get_default_graph()) 140336549583184 >>> foo(); foo 140336571240336 bar 140336555261456 There are other issues with composing defuns which mean it's not simple to add a Sonnet specific test for this (yet!), however we have many tests which cover the functionality enabled by the module stack (pushing variables from child to parent) and those still pass :) PiperOrigin-RevId: 207307133 | 16 October 2018, 12:56:15 UTC |
| 34fd32d | mareynolds | 03 August 2018, 16:14:43 UTC | Add count_variables_by_type() to Sonnet. PiperOrigin-RevId: 207275694 | 16 October 2018, 12:56:08 UTC |
| ebaf4a4 | tomhennigan | 03 August 2018, 12:34:27 UTC | Add variable properties to Sonnet modules. These methods query `self._all_variables` and don't filter using global collections. Their name and contract matches many other TF objects (e.g. defun's `PolymorphicFunction`, `Template` and Keras `Model`). A nice benefit of this is that you can use defun and access the variables from your module in a consistent way: >>> mod = snt.Linear(1) >>> if FLAGS.use_defun: ... mod = tfe.defun(mod) >>> mod(inputs); >>> mod.variables (<tf.Variable 'linear/b:0' shape=(1,) dtype=float32_ref>, <tf.Variable 'linear/w:0' shape=(1, 1) dtype=float32_ref>) Additionally we follow the more intuitive behaviour of `get_all_variables` so modules like Sequential don't return the empty collection: >>> mod = snt.Sequential([snt.Linear(1)]) >>> mod(tf.constant([[1.0]]); >>> mod.variables (<tf.Variable 'linear/b:0' shape=(1,) dtype=float32_ref>, <tf.Variable 'linear/w:0' shape=(1, 1) dtype=float32_ref>) PiperOrigin-RevId: 207253894 | 16 October 2018, 12:55:59 UTC |
| f2f8d85 | diegolascasas | 30 July 2018, 16:32:21 UTC | Sonnet version update produced on Tuesday, 31. July 2018 PiperOrigin-RevId: 206595149 | 31 July 2018, 15:45:47 UTC |
| f2f0812 | Deepmind | 26 July 2018, 15:58:57 UTC | Add dense/sparse gradient option to the Sonnet Embed module. Adds an option to densify the gradients into a tensor instead of passing indexed-slices. This is beneficial in the backward pass when gradients are passed to the parameter servers, and can speed up performance for moderately sized embeddings. PiperOrigin-RevId: 206166675 | 31 July 2018, 15:40:26 UTC |
| dca79d7 | tomhennigan | 24 July 2018, 15:02:39 UTC | Keep track of last connected output size in DeepRNN. PiperOrigin-RevId: 205828972 | 31 July 2018, 15:40:15 UTC |
| 2bf3452 | Deepmind | 17 July 2018, 18:13:55 UTC | Compatibility with recent tf variable changes. PiperOrigin-RevId: 204941059 | 31 July 2018, 15:40:03 UTC |
| 44ba888 | Deepmind | 13 July 2018, 10:52:31 UTC | Facility to register for notifications of module being connected to the graph. PiperOrigin-RevId: 204450050 | 17 July 2018, 15:57:48 UTC |
| 2b4d757 | Deepmind | 11 July 2018, 11:14:57 UTC | Make snt.LSTMBlockCell an actual class for the benefit of code that instantiates using module_name/class_name. PiperOrigin-RevId: 204102372 | 17 July 2018, 15:57:42 UTC |
| 798e8e0 | diegolascasas | 10 July 2018, 15:32:05 UTC | Internal change PiperOrigin-RevId: 203951281 | 17 July 2018, 15:57:36 UTC |
| f7c759c | tomhennigan | 10 July 2018, 11:24:39 UTC | Run Sonnet RNN tests in eager and graph mode. PiperOrigin-RevId: 203924472 | 17 July 2018, 15:57:30 UTC |
| 52129f6 | tomhennigan | 10 July 2018, 06:43:42 UTC | Don't track connected subgraphs in eager mode. In eager mode subgraphs are connected several orders of magnitude more times than is typical in graph mode. Keeping track of all connected subgraphs means we hold onto all input/output tensors and end up quite quickly OOM-ing. PiperOrigin-RevId: 203894783 | 17 July 2018, 15:57:19 UTC |
| 5568c56 | tomhennigan | 06 July 2018, 15:59:23 UTC | Run Sonnet base tests in eager and graph. PiperOrigin-RevId: 203483937 | 17 July 2018, 15:57:13 UTC |
| 8215c83 | mareynolds | 03 July 2018, 13:13:15 UTC | Use semantic_version to check that correct version of TF is installed PiperOrigin-RevId: 203111217 | 17 July 2018, 15:57:07 UTC |
| 719cd49 | Deepmind | 29 June 2018, 13:42:59 UTC | Expose RNNCellWrapper and wrap_rnn_cell_class PiperOrigin-RevId: 202639317 | 17 July 2018, 15:57:01 UTC |
| c2f607c | Deepmind | 28 June 2018, 14:45:36 UTC | Allow a TensorFlow RNNCell to be wrapped as an RNNCore. PiperOrigin-RevId: 202477539 | 17 July 2018, 15:56:52 UTC |
| e15eb74 | Deepmind | 28 June 2018, 14:07:35 UTC | Apply bias only once in ConvLSTM. https://github.com/deepmind/sonnet/issues/65 PiperOrigin-RevId: 202473272 | 17 July 2018, 15:56:42 UTC |
| 9672140 | Deepmind | 28 June 2018, 13:54:39 UTC | Extend Conv1DLSTM and Conv2DLSTM to support Layer Norm. PiperOrigin-RevId: 202471664 | 17 July 2018, 15:56:35 UTC |
| 56b40d6 | diegolascasas | 28 June 2018, 13:41:45 UTC | Internal change. PiperOrigin-RevId: 202470337 | 17 July 2018, 15:56:29 UTC |
| 7a8f633 | tomhennigan | 27 June 2018, 17:53:38 UTC | Run Sonnet basic tests in eager and graph mode. PiperOrigin-RevId: 202335246 | 17 July 2018, 15:56:20 UTC |
| dc7dd5c | Deepmind | 27 June 2018, 14:49:15 UTC | Custom getter that overrides specific named parameters. PiperOrigin-RevId: 202308055 | 17 July 2018, 15:56:14 UTC |
| 86147a0 | Deepmind | 26 June 2018, 14:24:35 UTC | Keep signature of original method when using snt.reuse_variables. PiperOrigin-RevId: 202124746 | 17 July 2018, 15:56:08 UTC |
| 62386f9 | Deepmind | 25 June 2018, 18:13:52 UTC | Use `get_shape` instead of `shape` for convolution variables. If one of convolution's variables is a PartitionedVariable, then it has no `shape` attribute. However, both Variables and PartitionedVariables have a `get_shape()` function. Use this instead. Modify the shared conv tests to catch this. PiperOrigin-RevId: 201985043 | 17 July 2018, 15:56:02 UTC |
| bc08dbf | fviola | 25 June 2018, 14:18:24 UTC | Refactor of VectorQuantizerEMA supporting return of encoding_indices The CL also allows to recover quantized codes from input encoding_indices. PiperOrigin-RevId: 201949176 | 17 July 2018, 15:55:56 UTC |
| cc8db83 | tomhennigan | 25 June 2018, 10:36:40 UTC | Re-enable Sonnet net tests in eager mode. PiperOrigin-RevId: 201929983 | 17 July 2018, 15:55:50 UTC |
| 1175778 | diegolascasas | 21 June 2018, 15:19:20 UTC | Internal change. PiperOrigin-RevId: 201527233 | 17 July 2018, 15:55:44 UTC |
| 4e5741a | tomhennigan | 21 June 2018, 12:23:37 UTC | Temporarily remove eager/graph annotation until the class level one is released. PiperOrigin-RevId: 201509633 | 17 July 2018, 15:55:38 UTC |
| 6926503 | Deepmind | 13 June 2018, 07:31:24 UTC | Add a bidirectional recurrent core to sonnet. Based off encoder component from: https://arxiv.org/pdf/1409.0473.pdf I avoided tf.while_loop as it complicates the implementation and we want explicit access to states and outputs from all steps of the sequence. PiperOrigin-RevId: 200346579 | 17 July 2018, 15:55:32 UTC |
| 4f34f4f | Deepmind | 11 June 2018, 14:01:31 UTC | Support for tf.bfloat16 in Sonnet. PiperOrigin-RevId: 200045112 | 17 July 2018, 15:55:26 UTC |
| e61955b | tomhennigan | 08 June 2018, 16:03:33 UTC | Add eager mode tests for sonnet nets. PiperOrigin-RevId: 199800734 | 17 July 2018, 15:55:20 UTC |
| ef9146d | mareynolds | 07 June 2018, 15:26:12 UTC | Fix dependencies in examples/BUILD - SciPy was missing. PiperOrigin-RevId: 199638219 | 17 July 2018, 15:55:01 UTC |
| 1eac5c6 | mareynolds | 07 June 2018, 15:00:26 UTC | Make dataset_nth_farthest python3 compatible. PiperOrigin-RevId: 199635116 | 17 July 2018, 15:54:55 UTC |
| 5332938 | mareynolds | 07 June 2018, 14:42:56 UTC | Make rmc_nth_farthest python3 compatible PiperOrigin-RevId: 199633253 | 17 July 2018, 15:54:49 UTC |
| 220832e | mareynolds | 07 June 2018, 14:05:08 UTC | Fix rmc_nth_farthest.ipynb PiperOrigin-RevId: 199629407 | 17 July 2018, 15:54:43 UTC |
| 9fe0a35 | Deepmind | 07 June 2018, 12:52:07 UTC | Adds demo for Relational Memory Core for "nth farthest" task from paper. PiperOrigin-RevId: 199622123 | 17 July 2018, 15:54:30 UTC |
| 31bc79c | diegolascasas | 05 June 2018, 16:52:26 UTC | Sonnet version update produced on Tuesday, 05. June 2018 PiperOrigin-RevId: 199312224 | 05 June 2018, 16:53:02 UTC |
| 0c9ed73 | mareynolds | 05 June 2018, 16:44:04 UTC | Updated changelog for version 1.23 PiperOrigin-RevId: 199311026 | 05 June 2018, 16:45:51 UTC |
| 05e2109 | mareynolds | 04 June 2018, 14:01:06 UTC | Fix error message in DeepRNN. Because we enumerate through core_sizes[1:] we need to add 1 to i when printing out which core we are referring to in the case of an error. Also fixed an issue where one of the shapes printed had the first dimension removed, and the other one didn't. PiperOrigin-RevId: 199127178 | 05 June 2018, 16:45:43 UTC |
| 3dd3d33 | mareynolds | 04 June 2018, 13:34:19 UTC | Make relational_memory python3 compatible. PiperOrigin-RevId: 199124668 | 05 June 2018, 16:45:35 UTC |
| 3ab2bea | Deepmind | 04 June 2018, 13:00:31 UTC | Change test assertion function. PiperOrigin-RevId: 199121362 | 05 June 2018, 16:45:26 UTC |
| 5b314d6 | Deepmind | 04 June 2018, 12:00:00 UTC | Add relational memory module to sonnet. Adding relational memory implementation from "Relational Recurrent Neural Networks", Santoro et al., 2018. PiperOrigin-RevId: 199116117 | 05 June 2018, 16:45:17 UTC |
| b66dadc | diegolascasas | 01 June 2018, 14:09:19 UTC | Sonnet version update produced on Friday, 01. June 2018 PiperOrigin-RevId: 198867845 | 01 June 2018, 14:20:59 UTC |
| 71c16c1 | Deepmind | 01 June 2018, 12:01:17 UTC | Switch to using private member variables when possible. There can be subtle differences to the public and private versions of member variables in the conv module (eg, Convolution's `stride` is the conv size + 2 but `_stride` is the conv size). The current module mixes and matches these. To reduce cognitive load a bit, we switch to using the private member variable when possible. PiperOrigin-RevId: 198857690 | 01 June 2018, 14:20:52 UTC |
| 3ec0d90 | diegolascasas | 31 May 2018, 16:50:31 UTC | Additional changes to VQVAE notebook to make it python3 compatible. PiperOrigin-RevId: 198735118 | 01 June 2018, 10:48:37 UTC |
| ce869c1 | mareynolds | 31 May 2018, 16:06:34 UTC | Make brnn_ptb_test write checkpoints to temp directory PiperOrigin-RevId: 198729764 | 01 June 2018, 10:48:31 UTC |
| f6a930b | Deepmind | 31 May 2018, 11:09:15 UTC | MergeDims: also handle dimensions of size zero. PiperOrigin-RevId: 198699387 | 01 June 2018, 10:48:25 UTC |
| 6307466 | diegolascasas | 31 May 2018, 10:13:49 UTC | Use six to load cPickle in VQVAE notebook PiperOrigin-RevId: 198694898 | 01 June 2018, 10:48:18 UTC |
| 35778ef | mareynolds | 30 May 2018, 14:56:05 UTC | Updated changelog for Sonnet version 1.21 PiperOrigin-RevId: 198559887 | 30 May 2018, 14:59:18 UTC |
| d6a02aa | mareynolds | 30 May 2018, 14:54:14 UTC | internal change PiperOrigin-RevId: 198559691 | 30 May 2018, 14:59:11 UTC |
| 45d0f76 | mareynolds | 30 May 2018, 14:29:25 UTC | Jupyter Notebook demonstrating VQ-VAE training on CIFAR-10. PiperOrigin-RevId: 198556907 | 30 May 2018, 14:59:05 UTC |
| 024f263 | mareynolds | 24 May 2018, 13:42:30 UTC | Add control dependencie to VectorQuantizerEMA to avoid potential non-deterministic results. PiperOrigin-RevId: 197884089 | 30 May 2018, 14:43:34 UTC |
| f72c4a5 | Deepmind | 24 May 2018, 09:51:21 UTC | Improve Sonnet's MergeDim behaviour on partially defined shapes. PiperOrigin-RevId: 197863174 | 30 May 2018, 14:43:27 UTC |
| c3d3bc2 | sracaniere | 22 May 2018, 12:16:54 UTC | Add support for custom getters in ConvNet2D PiperOrigin-RevId: 197546042 | 30 May 2018, 14:43:20 UTC |
| 8a7ca0a | Deepmind | 21 May 2018, 16:50:47 UTC | Add SeparableConv1D class to sonnet. PiperOrigin-RevId: 197408513 | 30 May 2018, 14:43:14 UTC |
| 85492de | Deepmind | 21 May 2018, 09:41:27 UTC | skip_connection deprecation warning is printed only once PiperOrigin-RevId: 197370137 | 30 May 2018, 14:43:07 UTC |
| 0277e53 | adriap | 08 May 2018, 15:52:31 UTC | Sonnet version update produced on Tuesday, 08. May 2018 PiperOrigin-RevId: 195825275 | 30 May 2018, 14:42:59 UTC |
| c4ac2b1 | mareynolds | 04 May 2018, 11:56:10 UTC | Add copyright header PiperOrigin-RevId: 195399161 | 30 May 2018, 14:42:46 UTC |
| c595084 | mareynolds | 04 May 2018, 11:46:13 UTC | Add VQ-VAE plus EMA variant to Sonnet. PiperOrigin-RevId: 195398448 | 30 May 2018, 14:42:36 UTC |
| f34755c | mareynolds | 30 April 2018, 13:54:41 UTC | Add snt.summarize_variables to Sonnet. This prints a summary of #variables, #scalars and memory usage for each datatype. PiperOrigin-RevId: 194779974 | 08 May 2018, 15:49:30 UTC |
| df245c0 | Deepmind | 25 April 2018, 16:50:27 UTC | Make an error more explicit when the Sonnet module name is not a string. PiperOrigin-RevId: 194254264 | 08 May 2018, 15:49:14 UTC |
| c838ebf | adriap | 24 April 2018, 16:26:28 UTC | Sonnet version update produced on Tuesday, 24. April 2018 PiperOrigin-RevId: 194098244 | 24 April 2018, 16:28:00 UTC |
| 6db202c | mareynolds | 24 April 2018, 15:36:24 UTC | Make brnn_ptb and ptb_reader python3 compatible. Fixes https://github.com/deepmind/sonnet/issues/79 PiperOrigin-RevId: 194091717 | 24 April 2018, 15:51:37 UTC |
| 50b41df | mareynolds | 24 April 2018, 14:40:05 UTC | Update installation instructions PiperOrigin-RevId: 194085445 | 24 April 2018, 15:51:30 UTC |
| a30da96 | mareynolds | 24 April 2018, 13:45:10 UTC | Add a unit test for brnn_ptb. Runs a small model with fake data for 1 epoch. PiperOrigin-RevId: 194079346 | 24 April 2018, 15:51:20 UTC |
| 5c7e355 | Deepmind | 16 April 2018, 09:31:21 UTC | Merge SeparableConv2D into _ConvND Merge the final convolution class into _ConvND. We also add a property field for `channel_multiplier` in `DepthwiseConv2D` as well as `SeparableConv2D`. PiperOrigin-RevId: 193007472 | 24 April 2018, 15:51:11 UTC |
| 1a313f6 | diegolascasas | 10 April 2018, 16:00:00 UTC | Sonnet version update produced on Tuesday, 10. April 2018 PiperOrigin-RevId: 192293232 | 10 April 2018, 16:01:18 UTC |
| a86f044 | fviola | 09 April 2018, 15:35:19 UTC | Remove skip_connnection option from ConvLSTM. PiperOrigin-RevId: 192131304 | 10 April 2018, 14:10:07 UTC |
| 600268f | fviola | 09 April 2018, 15:17:07 UTC | Update test PiperOrigin-RevId: 192129236 | 10 April 2018, 14:10:01 UTC |
| 5980cf9 | Deepmind | 09 April 2018, 13:13:47 UTC | Move CausalConv related functionality into subclass. There are a few bits of functionality that are only related to CausalConv1D and don't need to be in _ConvND. We're moving them into the subclass and calling _ConvND machinery for the rest. PiperOrigin-RevId: 192117666 | 10 April 2018, 14:09:56 UTC |
| 1ca6866 | Deepmind | 09 April 2018, 13:03:43 UTC | Refactor DepthwiseConv2D to use _ConvND. Rewrite DepthwiseConv2D so that it shares as much functionality with _ConvND as possible. PiperOrigin-RevId: 192116657 | 10 April 2018, 14:09:50 UTC |
| 23cb8d9 | Deepmind | 09 April 2018, 11:22:14 UTC | Refactor InPlaneConv2D to use _ConvND This refactor removes almost all of the code in InPlaneConv2D and uses _ConvND instead. We also fix some tests that were failing when run on the GPU in conv_gpu_test due to numpy & tensorflow version upgrades. PiperOrigin-RevId: 192109587 | 10 April 2018, 14:09:45 UTC |
| 9802714 | Deepmind | 06 April 2018, 15:49:01 UTC | Add dilation rate tests for ConvNet2D. Adding testing for the `rates` argument in ConvNet2D. PiperOrigin-RevId: 191893167 | 10 April 2018, 14:09:39 UTC |
| 159adc5 | sracaniere | 26 March 2018, 12:21:05 UTC | Remove spurious spaces in doc. PiperOrigin-RevId: 190449915 | 10 April 2018, 14:09:34 UTC |
| e660931 | adriap | 13 March 2018, 14:47:10 UTC | Use tensorflow nest for nest operations. PiperOrigin-RevId: 188871826 | 10 April 2018, 14:09:28 UTC |
| 1bee593 | sracaniere | 13 March 2018, 13:11:16 UTC | Use nest from pytflib to get rid of deprecation messages. PiperOrigin-RevId: 188862864 | 10 April 2018, 14:09:21 UTC |
| 4596fd0 | diegolascasas | 13 March 2018, 12:49:01 UTC | Sonnet version update produced on Monday, 12. March 2018 PiperOrigin-RevId: 188861040 | 13 March 2018, 12:50:56 UTC |
| 80d4784 | Deepmind | 09 March 2018, 13:53:39 UTC | Fix typo in DeepRNN docs. PiperOrigin-RevId: 188474053 | 12 March 2018, 14:10:13 UTC |
| e331172 | sracaniere | 08 March 2018, 17:15:11 UTC | Support the root scope (an empty string) in get_variable_scope. PiperOrigin-RevId: 188341067 | 12 March 2018, 14:10:08 UTC |
| 7d65b8a | gabrielbm | 07 March 2018, 13:30:37 UTC | Improve the way reuse_variables handles name scopes This fixes a bug where outer name scopes were ignored by reuse_variables. PiperOrigin-RevId: 188163153 | 12 March 2018, 14:10:03 UTC |
| b1191ad | mareynolds | 05 March 2018, 17:55:14 UTC | Docstring clarification PiperOrigin-RevId: 187880593 | 12 March 2018, 14:09:58 UTC |
| e62f660 | Deepmind | 01 March 2018, 11:49:03 UTC | Add mention to get_all_variables in snt.Sequential warning. PiperOrigin-RevId: 187456723 | 12 March 2018, 14:09:53 UTC |
| 553159b | Deepmind | 23 February 2018, 17:35:53 UTC | Added optional dilation rates argument for ConvNet2D. PiperOrigin-RevId: 186779967 | 12 March 2018, 14:09:48 UTC |
| c855672 | gabrielbm | 23 February 2018, 12:53:10 UTC | Sort variables returned by get_all_variables() by name. The variables returned by get_all_variables() are stored in a set, so they must be sorted to determine an ordering over them. This change sorts the variables by name before returning them. PiperOrigin-RevId: 186752578 | 12 March 2018, 14:09:42 UTC |
| a1d1a37 | Deepmind | 22 February 2018, 15:16:07 UTC | Add missing argument to example code. PiperOrigin-RevId: 186613534 | 12 March 2018, 14:09:36 UTC |
| 108fce7 | mareynolds | 21 February 2018, 16:32:06 UTC | Bump version to 1.17 PiperOrigin-RevId: 186463459 | 21 February 2018, 17:32:51 UTC |
| c522ae6 | Aditya Paliwal | 14 February 2018, 11:58:02 UTC | Updated README - TensorFlow v1.5 required GIT_ORIGIN_REV_ID=264bc35ad75f1dad605407295e857846237917be PiperOrigin-RevId: 185666441 | 21 February 2018, 16:10:30 UTC |
| 62f4399 | gabrielbm | 14 February 2018, 11:38:14 UTC | Implementation of get_all_variables() for sonnet modules. We introduce a module call stack, which tracks the order in which modules are called. When a module enters __call__ (or _enter_variable_scope) it adds itself to the top of the stack. Variables created inside of the custom_getter are added to a collection specific to the module on the top of the stack. Before exiting __call__ (or _enter_variable_scope) the module moves all variables added to this graph collection into `_all_variables`, removes itself from the top of the stack, and adds all of the variables from `self._all_variables` to collection for the module that is currently at the top of the module stack. PiperOrigin-RevId: 185664981 | 21 February 2018, 16:10:23 UTC |
| 06b8e4f | Deepmind | 13 February 2018, 14:50:57 UTC | Replace keep_dims with keepdims in call to tf.reduce_prod() PiperOrigin-RevId: 185524194 | 21 February 2018, 16:10:17 UTC |
| f9e3859 | Deepmind | 13 February 2018, 11:50:15 UTC | Fix an error message which was incorrect. PiperOrigin-RevId: 185509698 | 21 February 2018, 16:10:10 UTC |
| c75bca4 | Deepmind | 13 February 2018, 10:04:36 UTC | Fix comment. PiperOrigin-RevId: 185501790 | 21 February 2018, 16:10:03 UTC |
| 0737482 | Deepmind | 12 February 2018, 17:36:54 UTC | Internal change. PiperOrigin-RevId: 185389700 | 21 February 2018, 16:09:55 UTC |
| 551d652 | diegolascasas | 30 January 2018, 15:55:29 UTC | Fix Python3 incompatibilities in new tests and methods. PiperOrigin-RevId: 183831798 | 30 January 2018, 16:10:36 UTC |
