- 22 8月, 2020 19 次提交
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由 Ruoxin Sang 提交于
PiperOrigin-RevId: 327858513 Change-Id: I907a6b808a540fc36a19d721c7361efd2f00ff99
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由 Cesar Crusius 提交于
The experimental SAVE_VARIABLE_DEVICES currently only has an effect on the saved GraphDef. This change makes it also work with the object graph, and the experimental TF2 C++ loading infrastructure. PiperOrigin-RevId: 327852672 Change-Id: Ief106696fde51eb834d6fe9d67e18cf3c4d201b2
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由 Berkin Ilbeyi 提交于
This is in preparation to allow cross-program prefetch buffers to be freed. PiperOrigin-RevId: 327852436 Change-Id: I78a5b8e7eb195f326867a6bd65f850d81ddba7a8
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由 Rachel Lim 提交于
Update auto_shard.cc to apply the rewrite even in the 1 worker case for data-based sharding for more consistency (namely: data sharding -> LegacyRebatch, file / no sharding -> Rebatch). PiperOrigin-RevId: 327850700 Change-Id: I752493e38e9adca2e01d2b8faa2b204296a07182
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由 A. Unique TensorFlower 提交于
Backward compatible change preparing for pybind11 update. Hidden (and luckily inconsequential) bugs discovered while testing with the current pybind11 github master branch, and current https://github.com/pybind/pybind11/pull/2409 applied locally. The code changed in this CL depends on a pybind11 mis-feature: Current `stable` `pybind11::str` can hold either `PyUnicodeObject` (as documented) or `PyBytesObject` (undocumented and probably very surprising), even under Python 3. pybind PR #2409 changes `pybind11::str` so that it can only hold `PyUnicodeObject`. PiperOrigin-RevId: 327849650 Change-Id: I2a119479a6af8ab8ec5315a1b8565e96952b84c1
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由 A. Unique TensorFlower 提交于
Updates LLVM usage to match [50aae463315d](https://github.com/llvm/llvm-project/commit/50aae463315d) PiperOrigin-RevId: 327849475 Change-Id: I8630a30d81d6118582ef09e3262354b7b9c6fd83
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由 A. Unique TensorFlower 提交于
Fixes #42331 Currently on violation it results in crashing, this explicit conversion helps to raise ValueError from python. PiperOrigin-RevId: 327848244 Change-Id: Id872a95f5d64bd2f694885ace0350b44b70eb558
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由 TensorFlower Gardener 提交于
PiperOrigin-RevId: 327846520 Change-Id: I617f2d272a44a166e724e3591672c92b7b24869a
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由 Guangda Lai 提交于
PiperOrigin-RevId: 327845765 Change-Id: Id6fcc0c028251c8ede54fd92eac9b3d1f1ae366d
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由 Hye Soo Yang 提交于
Part 5 (class CentralCropTest) PiperOrigin-RevId: 327844469 Change-Id: I721261c203fe6ec4be4c99e4584a50d47a3528c9
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由 Thomas O'Malley 提交于
PiperOrigin-RevId: 327842081 Change-Id: Id770b2117f80252e3cf8977ce29e2f0d3367df4c
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由 Hye Soo Yang 提交于
Part 3 (class PerImageWhiteningTest, AdjustContrastTest) PiperOrigin-RevId: 327840359 Change-Id: I121a029fccc446f9b3d007dcbeaac71c0fe949f2
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由 Mehdi Amini 提交于
PiperOrigin-RevId: 327835202 Change-Id: Ib595f99d650839b2d5c4a1c723b7f9b88e5fb64a
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由 Fergus Henderson 提交于
the offset for the length of the whole char buffer is N+1 ints, not N+2. Also a small change to the docs to clarify that the per-string part is repeated, and that i ranges from 0 to N-1 (not from 1 to N). PiperOrigin-RevId: 327831873 Change-Id: I01e325f616980770e3c9ed9318e1da34f52d3344
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由 Fergus Henderson 提交于
tensorflow/python/keras/engine/base_layer.py:1760: [E1102(not-callable), Layer.add_update] update is not callable This warning is warning about some code is dynamically checking whether the called object is callable, i.e. ... if callable(foo): foo() The warning seems to be spurious, and appears to be a flaw in pylint; see <https://github.com/PyCQA/pylint/issues/1493>. PiperOrigin-RevId: 327829344 Change-Id: I8c477851cf64840ec116f77ce0a60d0ce908daa9
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由 Yuanzhong Xu 提交于
It was quadratic time before. PiperOrigin-RevId: 327827558 Change-Id: Ib50d2b567e0458b5d2146ba3d3b1006050f3d06f
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由 Thomas O'Malley 提交于
PiperOrigin-RevId: 327826329 Change-Id: Ied5d6c8221b22f6c92c9d240985969b28c99e71e
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 327824687 Change-Id: I7a5a12dacb14f00483c0beb29793914a0b9cc5f2
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由 A. Unique TensorFlower 提交于
Updates LLVM usage to match [c1dd5df4255c](https://github.com/llvm/llvm-project/commit/c1dd5df4255c) PiperOrigin-RevId: 327818600 Change-Id: I615bd546ba2d743453050fcc7b16cd88ed328fb8
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- 21 8月, 2020 21 次提交
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由 A. Unique TensorFlower 提交于
Updates LLVM usage to match [3f7985e6ec21](https://github.com/llvm/llvm-project/commit/3f7985e6ec21) PiperOrigin-RevId: 327805023 Change-Id: Ie359643871d7a44b257b2c07273c98d9fa558515
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由 A. Unique TensorFlower 提交于
Updates LLVM usage to match [e1cd7cac8a36](https://github.com/llvm/llvm-project/commit/e1cd7cac8a36) PiperOrigin-RevId: 327792209 Change-Id: I3d6b883cfbe467d5d588bbc3d6cd121a118efbd5
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 327776834 Change-Id: I82f5373d84ce5474a57ab9d853a4579519b57096
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 327776829 Change-Id: I7bffa531a9c5158bf808ab255412a026e32e5d9d
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由 A. Unique TensorFlower 提交于
Updates LLVM usage to match [a54eb9b7c509](https://github.com/llvm/llvm-project/commit/a54eb9b7c509) PiperOrigin-RevId: 327772531 Change-Id: I75d50abc1b22a9bf67ba916b70f3ee59a2381868
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由 Yuefeng Zhou 提交于
PiperOrigin-RevId: 327766188 Change-Id: I247539f5561940a29fef658818b1e815dd194c1d
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由 A. Unique TensorFlower 提交于
[XLA] Fix issue in conditional code motion regarding sharing of computations in conditionals and cleanup generated code. The branch computations inside a conditional may be shared among different Hlo instructions, e.g., different conditionals. When moving instructions across the boundaries of two computations, specifically the branch computations and the parent of a conditional, we must make sure the branch computations being modified are not shared --- if shared, they must be cloned first before being modified. The transformation code and the cost calculation for moving instructions inside branches are also modified to produce cleaner result and to refrain from modifying a conditional back and forth. The original implementation for moving instructions inside branches merely extends the old roots of the branches with new instructions. The improved transformation now folds the tuple/getTupleElement instructions in the branches to eliminate unnecessary tuple/getTupleElement pairs. PiperOrigin-RevId: 327764642 Change-Id: Ia7d7fda3f6e8d8d9af6e091f92a94946af096a7e
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由 Meghna Natraj 提交于
PiperOrigin-RevId: 327757194 Change-Id: Ice1e28ebe174f37020992b763e34cecb13444a55
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由 Mehdi Amini 提交于
PiperOrigin-RevId: 327753644 Change-Id: I36498f8677e890cb3146f7f2bf43aa0029bdaf99
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由 Amit Patankar 提交于
PiperOrigin-RevId: 327752941 Change-Id: I4ea5c7b882fd3db9f9962e7a85ef79a63f4989fc
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由 Yanhua Sun 提交于
PiperOrigin-RevId: 327752828 Change-Id: I6d60c87daea1df08a8515421a85e8583c4fd2eb8
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由 Andy Ly 提交于
Update tf._TPUCompileMlir creation to always create a tensor<2x!tf.string> typed output for its program outputs, matching its shape function (NFC). PiperOrigin-RevId: 327750291 Change-Id: I22a83a3775830d1c6e011a00ad2860fcaace1c26
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由 Karim Nosir 提交于
PiperOrigin-RevId: 327747756 Change-Id: I4a514fa45980a3b29cd35b054af59cc9607b9bb5
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由 Blake Hechtman 提交于
PiperOrigin-RevId: 327747629 Change-Id: I453a249e54e9d00407e022f2909906ed29ef8b85
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由 Renjie Liu 提交于
PiperOrigin-RevId: 327746763 Change-Id: I6e2de92569680836a5f61d60534ff364c425c625
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由 Renjie Liu 提交于
PiperOrigin-RevId: 327742515 Change-Id: I0699f469c98270bf895cb1b8826fcc5a2c6fdd46
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由 TensorFlower Gardener 提交于
PiperOrigin-RevId: 327741784 Change-Id: Id00bdcb9c3e985a3660ebe0ce0d35ab3013ee5d8
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由 Anjali Sridhar 提交于
DistributedVariable does not inherit from Mirrored and calling an unbound method on Mirrored can raise errors in python2. PiperOrigin-RevId: 327740242 Change-Id: I6142ab38aeca1ed3218a0616c398128458babaca
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由 Jiho Choi 提交于
PiperOrigin-RevId: 327738402 Change-Id: Ifc8b24b01730094ddc8379bf08905651fd375e87
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由 Mehdi Amini 提交于
This is fixing the build after upstream changes. PiperOrigin-RevId: 327738263 Change-Id: I1d6a8bee44a2559348a27253a34215e143eb74c6
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由 Terry Heo 提交于
README.md is also added. These commands show a way to use it. $ git clone https://github.com/tensorflow/tensorflow.git tensorflow_src $ mkdir tflite_build && cd tflite_build $ cmake ../tensorflow_src/tensorflow/lite $ cmake --build . -j PiperOrigin-RevId: 327736060 Change-Id: I35acf01b0b33156db5537c146c35de7dc534bb7e
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