| Commit message (Collapse) | Author | Age | |
|---|---|---|---|
| * | Use weak symbols to inject flex delegates |  Jared Duke | 2018-10-04 |
| | | | | | PiperOrigin-RevId: 215788183 | ||
| * | Modularize TF Lite interface definitions and reorganize file structure |  Pete Warden | 2018-09-07 |
| | | | | | PiperOrigin-RevId: 212064501 | ||
| * | Internal change | Jared Duke | 2018-08-15 |
| | | | | | PiperOrigin-RevId: 208910402 | ||
| * | Provide TfLiteContext arg to all TfLiteDelegate callbacks | Jared Duke | 2018-08-14 |
| | | | | | | | | Note: This change may break clients who have custom TfLiteDelegate implementations; this API has been and remains experimental and subject to such changes. PiperOrigin-RevId: 208683190 | ||
| * | An ErrorReporter to be used in tests. |  A. Unique TensorFlower | 2018-07-25 |
| | | | | | PiperOrigin-RevId: 206012444 | ||
| * | Reset variable tensors to zero after allocating tensors. |  Yu-Cheng Ling | 2018-07-10 |
| | | | | | PiperOrigin-RevId: 204022562 | ||
| * | Remove framework's dependency on eigen and gemmlowp. | A. Unique TensorFlower | 2018-07-03 |
| | | | | | PiperOrigin-RevId: 203172717 | ||
| * | Avoid redundant TFLite tensor reallocations | Jared Duke | 2018-07-02 |
| | | | | | PiperOrigin-RevId: 202988873 | ||
| * | Do not overwrite inputs. | A. Unique TensorFlower | 2018-06-29 |
| | | | | | PiperOrigin-RevId: 202724720 | ||
| * | Refresh allocations in the presence of dynamic tensors | A. Unique TensorFlower | 2018-06-19 |
| | | | | | PiperOrigin-RevId: 201193941 | ||
| * | support int16-quantized data in TFLite interpreter. | A. Unique TensorFlower | 2018-06-13 |
| | | | | | PiperOrigin-RevId: 200442886 | ||
| * | Handle zero-sized TFLite tensor allocations | A. Unique TensorFlower | 2018-06-12 |
| | | | | | PiperOrigin-RevId: 200277562 | ||
| * | Convert int -> size_t so that implicit conversion doesn't lose integer ↵ | A. Unique TensorFlower | 2018-04-23 |
| | | | | | | | precision. PiperOrigin-RevId: 193955175 | ||
| * | Merge changes from github. |  Jacques Pienaar | 2018-03-21 |
| | | | | | PiperOrigin-RevId: 189945839 | ||
| * | TFLite Delegate: Add an `allow_dynamic_tensors` parameter. | Yu-Cheng Ling | 2018-03-19 |
| | | | | | PiperOrigin-RevId: 189641833 | ||
| * | Automated g4 rollback of changelist 189231636 | A. Unique TensorFlower | 2018-03-15 |
| | | | | | PiperOrigin-RevId: 189258641 | ||
| * | Merge changes from github. | Jacques Pienaar | 2018-03-15 |
| | | | | | PiperOrigin-RevId: 189231636 | ||
| * | TFLite Delegate: Expose input / output tensor indicies in `Init` | Yu-Cheng Ling | 2018-03-12 |
| | | | | | PiperOrigin-RevId: 188784614 | ||
| * | Return kTfLiteError if calling delegate-specific functions from non-delegate ↵ | Yu-Cheng Ling | 2018-03-08 |
| | | | | | | | code. PiperOrigin-RevId: 188407931 | ||
| * | TFLite: Delegate Buffer Handle interface (take 2) | Yu-Cheng Ling | 2018-03-08 |
| | | | | | PiperOrigin-RevId: 188366045 | ||
| * | Automated g4 rollback of changelist 188263046 |  Gunhan Gulsoy | 2018-03-08 |
| | | | | | PiperOrigin-RevId: 188293315 | ||
| * | TFLite: Delegate Buffer Handle interface | Yu-Cheng Ling | 2018-03-07 |
| | | | | | PiperOrigin-RevId: 188263046 | ||
| * | TFLite: Ensures pointers to tensors won't be invalidated unless 16+ tensors ↵ | Yu-Cheng Ling | 2018-02-26 |
| | | | | | | | are added. PiperOrigin-RevId: 187052100 | ||
| * | Fix bug in populating the execution plan sent to the delegate. |  Andrew Selle | 2018-02-13 |
| | | | | | | | | | - memcpy was missing the array size. - modified the unit test to verify that the execution plan is trivial on first delegate invocation. PiperOrigin-RevId: 185569606 | ||
| * | Add delegate API to tflite. | Andrew Selle | 2018-02-09 |
| | | | | | | | | | | - Context gets GetNodes, num_nodes and PartitionNodesIntoSubgraphs. - TfLiteDelegate provides one function that need be implemented - Delegates choose nodes and those nodes are all compacted into a new macro kernel. PiperOrigin-RevId: 185204338 | ||
| * | Show that we must over reallocate after resizing dynamic tensors. | A. Unique TensorFlower | 2018-02-02 |
| | | | | | PiperOrigin-RevId: 184296680 | ||
| * | Allow reordering of execution order of nodes with indirect execution_plan. | Andrew Selle | 2018-02-01 |
| | | | | | | | | | Now whenever we want to operate in dependency order we use execution_plan. It begins as identity map (0, ..., nodes_size()) but can be changed in the future. This is the basis for more pluggable delegation. PiperOrigin-RevId: 184216885 | ||
| * | Internal Change. | Andrew Selle | 2017-11-10 |
| PiperOrigin-RevId: 175307445 | |||
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