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* Fix unit tests for large/small tensor constantsLester Solbakken2018-02-052-4/+5
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* Store small constants separatelyLester Solbakken2018-02-051-4/+11
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* Support small constantsJon Bratseth2018-02-051-4/+17
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* Add logging when adding a constantJon Bratseth2018-02-051-1/+1
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* Merge pull request #4913 from vespa-engine/bratseth/feature-names-cleanupLester Solbakken2018-02-055-138/+13
|\ | | | | Bratseth/feature names cleanup
| * Unify canonicalizationJon Bratseth2018-02-035-183/+13
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| * Fetaure names cleanup WIPJon Bratseth2018-02-022-15/+60
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* | No need to compress just to uncompress.Henning Baldersheim2018-02-051-1/+9
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* Merge pull request #4859 from vespa-engine/balder/shortcut-on-timeoutHenning Baldersheim2018-02-0228-132/+89
|\ | | | | Balder/shortcut on timeout
| * Nested namespacesHenning Baldersheim2018-02-0227-131/+88
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| * Correctly test for expiry.Henning Baldersheim2018-02-011-1/+1
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* | Generalize dimension-wiseJon Bratseth2018-02-022-7/+8
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* | Replace / in Tensorflow constants and placeholders to _Lester Solbakken2018-02-025-14/+21
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* | Allow type generalizations in ifJon Bratseth2018-02-014-6/+75
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* | Correct copyright headersJon Bratseth2018-02-012-2/+4
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* | Canonicalize featuresJon Bratseth2018-01-316-13/+138
|/ | | | | This allows us to find the type of features referenced in ranking expressions regardless of the form they are written in.
* Nonfunctional changes onlyJon Bratseth2018-01-311-0/+1
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* Verify macrosJon Bratseth2018-01-3132-135/+162
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* Propagate type information through ranking expressionsJon Bratseth2018-01-2919-37/+141
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* Propagate type informationJon Bratseth2018-01-2911-33/+117
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* Don't use uint16_t when UChar is needed.Tor Egge2018-01-273-2/+3
| | | | Include needed unicode header file.
* Merge pull request #4789 from ↵Henning Baldersheim2018-01-2611-69/+138
|\ | | | | | | | | vespa-engine/geirst/improve-alloc-strategy-in-data-store Geirst/improve alloc strategy in data store
| * Use definition of huge page size from memory allocator.Geir Storli2018-01-261-2/+1
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| * Improve buffer allocation strategy in data store by matching underlying ↵Geir Storli2018-01-267-42/+95
| | | | | | | | | | | | | | | | allocators. This should reduce the amount of memory wasted in allocations. 1) heap allocation: buffer size is power of 2 to match vespamalloc. 2) mmap allocation: buffer size is multiple of huge page size (2MB) to match mmap allocator.
| * Refactor calculation of buffer allocation.Geir Storli2018-01-254-27/+44
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* | Refactor tensorflow import and add dropout testLester Solbakken2018-01-2611-342/+3602
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* | Correct copyright headerJon Bratseth2018-01-251-1/+0
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* | Add copyright headersJon Bratseth2018-01-254-0/+4
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* | Remove loggingJon Bratseth2018-01-252-1/+5
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* | Refactor: RenameJon Bratseth2018-01-253-25/+24
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* | Refactor: Move state to helperJon Bratseth2018-01-253-32/+29
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* | Refactor: Extract test helper logicJon Bratseth2018-01-254-125/+166
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* | Minor improvementsJon Bratseth2018-01-251-12/+11
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* Keep imported tensor attribute vector read guard live during access.Tor Egge2018-01-231-1/+2
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* Revert "Revert "Add imported tensor attribute vector""Tor Egge2018-01-2312-2/+415
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* Revert "Add imported tensor attribute vector"Håkon Hallingstad2018-01-2312-415/+2
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* Merge pull request #4733 from ↵Tor Brede Vekterli2018-01-2312-2/+415
|\ | | | | | | | | vespa-engine/toregge/add-imported-tensor-attribute-vector Add imported tensor attribute vector
| * Use ASSERT_TRUE instead of EXPECT_TRUE.Tor Egge2018-01-231-1/+1
| | | | | | | | Continuing on failure would lead to test program crashing.
| * Fix typo in tensor spec.Tor Egge2018-01-221-1/+1
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| * Add class comment.Tor Egge2018-01-221-0/+4
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| * Add imported tensor attribute vector read guard.Tor Egge2018-01-229-1/+217
| | | | | | | | | | Extend unit tests for imported attribute vector to check imported tensor attribute.
| * Add imported tensor attribute vector.Tor Egge2018-01-227-1/+194
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* | Merge branch 'master' into lesters/add-batch-norm-tf-caseLester Solbakken2018-01-2223-105/+267
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| * | Use double quotesJon Bratseth2018-01-222-4/+4
| | | | | | | | | | | | Single quotes are not supported in the backend.
| * | Merge pull request #4734 from ↵Henning Baldersheim2018-01-2221-101/+262
| |\ \ | | |/ | |/| | | | | | | vespa-engine/geirst/more-conservative-buffer-allocation-strategy-in-datastore-buffers Geirst/more conservative buffer allocation strategy in datastore buffers
| | * Add config for the alloc grow factor used when allocating buffers in ↵Geir Storli2018-01-223-9/+8
| | | | | | | | | | | | multi-value attributes.
| | * Add more conservative buffer allocation strategy in datastore buffers.Geir Storli2018-01-1919-78/+243
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This should greatly reduce the memory footprint of multi-value attribute vectors which uses an array store for underlying values. The size of a new buffer is calculated as (simplified): *) before: (size of previous buffer) * 2 *) now: (size of all previous buffers) * allocation grow factor (default = 0.2) In addition we now support resizing of all buffers, not only the first one.
| | * Style changes.Geir Storli2018-01-182-16/+13
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* | | Support negative values dimension sizes in tensorflow reshape importLester Solbakken2018-01-221-2/+4
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* | | Support negative dimesions in import of expanddimsLester Solbakken2018-01-221-3/+7
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