{"push_id":2872881319,"size":1000,"distinct_size":5198,"ref":"refs/heads/master","head":"f4d8442e13356ab645446c9f4a9b3b6cedddcd63","before":"141fe1e7dccd97c99a60bbabfd1e8c52a7d3348a","commits":[{"sha":"c133ef468b702c728dc6b74047129eb742fff5c5","author":{"name":"Peter Hawkins","email":"34b19541630131950b5f204f2c5f2c647a3a7475@google.com"},"message":"[TF:XLA] Add TensorFlow operators that wrap most HLO operators.\n\nPiperOrigin-RevId: 209997425","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/c133ef468b702c728dc6b74047129eb742fff5c5"},{"sha":"7e97ab37de541b4ba6ad6c70de963b55048eb30a","author":{"name":"Gunhan Gulsoy","email":"878fa8d9511fb0331ebb748eddc43ed25bbbef10@google.com"},"message":"Disable broken codegen test.\n\nPiperOrigin-RevId: 209998502","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/7e97ab37de541b4ba6ad6c70de963b55048eb30a"},{"sha":"d325c3a9a756022cebf650a7ab53e80acf3fd5b0","author":{"name":"A. Unique TensorFlower","email":"746aced590a184ef4169166e753f7c211e32e5fc@tensorflow.org"},"message":"Added absl/base to platform_port's dependencies.\n\nThis fixes a build error involving an absl import in tensorflow/core/platform/posix/port.cc\n\nPiperOrigin-RevId: 209999859","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/d325c3a9a756022cebf650a7ab53e80acf3fd5b0"},{"sha":"c6b8f3617662ff0223eace9774089ce509867160","author":{"name":"Sanjoy Das","email":"d72748a98fd8b476107003df407128e166d060ac@google.com"},"message":"[TF:XLA] Bump open source llvm revision to r340528\n\nPiperOrigin-RevId: 210001907","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/c6b8f3617662ff0223eace9774089ce509867160"},{"sha":"a73bc982669c8eb4bec9418a94a96b64551e641b","author":{"name":"Yunxing Dai","email":"0e6edd405794f4fb8b1584e93c0a178f5c32bc6a@google.com"},"message":"Do not crash when an empty tuple is passed into hlo_sharding.\n\nPiperOrigin-RevId: 210005372","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/a73bc982669c8eb4bec9418a94a96b64551e641b"},{"sha":"f06551280b27f7fb4e06c4d7ff5fe8e3fd606a9a","author":{"name":"Sanjoy Das","email":"d72748a98fd8b476107003df407128e166d060ac@google.com"},"message":"Auto-cluster TensorFlow's resource operations when legal.\n\nThis CL teaches auto-clustering to cluster resource variable operations when\nproved legal by a data-flow analysis.  It is organized as follows:\n\n - The core data flow analysis lives in jit/resource_operation_safety_analysis.\n   The output of this analysis is a set of pairs of nodes where two nodes that\n   belong to the same pair should not be put into the same cluster.\n\n - jit/xla_cluster_util now has a routine that incorporates the results of the\n   data flow analysis into the cycle detection graph such that auto-clustering\n   automatically avoids putting incompatible nodes in the same cluster.\n\n - jit/mark_for_compilation_pass and jit/xla_fusion_optimizer have some plumbing\n   changes to make all of this work.  Changes to jit/xla_fusion_optimizer are a\n   bit simpler because, IIUC, it does not have to deal with the XLA_{CPU|GPU}\n   devices.\n\nPiperOrigin-RevId: 210006397","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/f06551280b27f7fb4e06c4d7ff5fe8e3fd606a9a"},{"sha":"91aa51fbd2c55a45193c309b34c46f35d48b0167","author":{"name":"Doe Hyun Yoon","email":"2bed64b9009034c7d8617d2ea58929f25c2cde7d@google.com"},"message":"Add graphdef version number to GrapplerFunctionItem.\n\nThis solves te problem when passing a scalar tensor to function op input, as\nPlaceholer shape inference outputs unknown shape for scalar if graphdef version\nis < 24.\n\nPiperOrigin-RevId: 210007276","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/91aa51fbd2c55a45193c309b34c46f35d48b0167"},{"sha":"fb7b8458751cc0ef38e4c98430517ab134f85aca","author":{"name":"A. Unique TensorFlower","email":"746aced590a184ef4169166e753f7c211e32e5fc@tensorflow.org"},"message":"Sorted the per-device summary printout with device names to improve readability.\n\nPiperOrigin-RevId: 210007888","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/fb7b8458751cc0ef38e4c98430517ab134f85aca"},{"sha":"e9ef2338007bac406f4c8d00ae86fa653092d1fb","author":{"name":"A. Unique TensorFlower","email":"746aced590a184ef4169166e753f7c211e32e5fc@tensorflow.org"},"message":"Add ThenExecute() method to DeviceContext interface.\n\nThis basically exposes the GPU EventMgr::ThenExecute function to code\nthat can be compiled without explicitly depending on StreamExecutor and\nsimilar.  It allows some corner cases in GPU memory use to be handled in\ncode that is not just GPU-specific.\n\nPiperOrigin-RevId: 210010480","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/e9ef2338007bac406f4c8d00ae86fa653092d1fb"},{"sha":"85acad7e60a85a30e414e13ddb7e02d1a90cba3f","author":{"name":"TensorFlower Gardener","email":"746aced590a184ef4169166e753f7c211e32e5fc@tensorflow.org"},"message":"Merge pull request #21148 from yongtang:21129-LMDBDataset\n\nPiperOrigin-RevId: 210010884","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/85acad7e60a85a30e414e13ddb7e02d1a90cba3f"},{"sha":"3dd67a1e399505a297bbdd58440b06855c92a35d","author":{"name":"Skye Wanderman-Milne","email":"4c878c1ae364587078acae22009e8542fed717b6@google.com"},"message":"Switch cond_v2 to using tfe.defun instead of function.Defun.\n\nThis requires a few changes:\n- Make func_graph_from_py_func public (not part of the official public API though)\n- Make function_def_to_graph return the new FuncGraph implementation.\n- Disables some cond_v2 tests until we get them working with the new FuncGraph implementation.\n- Add outer_graph field to FuncGraph.\n- Add external_captures and internal_captures properties to FuncGraph for readability.\n- Remove extra_inputs/extra_args terminology from cond_v2_impl for readability.\n- Use compat.as_str() around Graph._functions keys. In Python 3, we were somehow getting a mix of str and bytes objects.\n\nPiperOrigin-RevId: 210015940","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/3dd67a1e399505a297bbdd58440b06855c92a35d"},{"sha":"3ed1f31b1a67b40fcc2450f89c7c4652dd837a5f","author":{"name":"Mark Heffernan","email":"ce18cf65cce200b531e2e1f6f637a7543d7dd344@google.com"},"message":"Clean up Literal comparision mismatch messages.\nMake the error messages more consistent between \"Near\" comparisons and \"Equal\" comparisons, and give Shape index for mismatches in tuples. Also, polish flag descriptions and test output in run_hlo_module.\n\n==== BEFORE:\n\nMismatches in shape (s32[], s32[], s32[]) (3 elements):\nExpected equality of these values:\n  470211269\n  0\nat index {}:\nexpected: 470211269\nactual:   0\n\n==== AFTER:\n\nMismatches in shape (s32[], s32[], s32[]) (3 elements):\n\nArray at shape index {1}, first mismatch at array index {}:\n  expected value: 470211269\n  actual value:   0\n\nExpected literal:\n(s32[], s32[], s32[]) (\n-1865008400,\n470211269,\n470211269\n)\n\nActual literal:\n(s32[], s32[], s32[]) (\n-1865008400,\n0,\n470211269\n)\n\nPiperOrigin-RevId: 210017733","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/3ed1f31b1a67b40fcc2450f89c7c4652dd837a5f"},{"sha":"e9b58d8f2ef1a4b828a7811ebd9931d483cdfe94","author":{"name":"Justin Lebar","email":"631d11d9fe908fc8f04b5865032c3043cb48fdfb@google.com"},"message":"[XLA] Switch from tensorflow::str_util::Join to absl::StrJoin.\n\nPiperOrigin-RevId: 210018843","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/e9b58d8f2ef1a4b828a7811ebd9931d483cdfe94"},{"sha":"db9988e1d9c3a22a1061eea917242ef7061ed766","author":{"name":"Jonathan J Hunt","email":"28ad7f47c199e41ecbe6a8f4cea0eed3673d2956@google.com"},"message":"Add back sample limit check I inadvertently removed, which in some cases led\nto writing to unallocated memory.\n\nPiperOrigin-RevId: 210020714","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/db9988e1d9c3a22a1061eea917242ef7061ed766"},{"sha":"35d032d92acdabacc8edf3f93f58cc0bb8317876","author":{"name":"Akshay Agrawal","email":"33610bb6aa6c101e6f1b83ab8c32114ae74dc27b@google.com"},"message":"Raise a helpful error message when trying to initialize a variable from\na tensor when constructing a function.\n\nPiperOrigin-RevId: 210021077","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/35d032d92acdabacc8edf3f93f58cc0bb8317876"},{"sha":"7c2fe5f27b607ddd708ac83d1c5d0201f4b82860","author":{"name":"Sanjoy Das","email":"d72748a98fd8b476107003df407128e166d060ac@google.com"},"message":"Delete the ParallelCheck op and its kernel.\n\nThe op is unused as far as I can tell.\n\nPiperOrigin-RevId: 210021997","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/7c2fe5f27b607ddd708ac83d1c5d0201f4b82860"},{"sha":"516fb9bd3459b25cf10bb75d0d567b64a29ca4b1","author":{"name":"Justin Lebar","email":"631d11d9fe908fc8f04b5865032c3043cb48fdfb@google.com"},"message":"[XLA] tensorflow::str_util::Lowercase -> absl::AsciiStrToLower.\n\nPiperOrigin-RevId: 210025891","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/516fb9bd3459b25cf10bb75d0d567b64a29ca4b1"},{"sha":"b396ea0ae689fd063f475238289c5e65457a987a","author":{"name":"Igor Ganichev","email":"0bf7e9d70a5a498d1355b45b67b1e2c6f19cdce7@google.com"},"message":"Add tests for eager keras models that override call()\n\nPiperOrigin-RevId: 210027531","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/b396ea0ae689fd063f475238289c5e65457a987a"},{"sha":"bdf526389b3dda9f79c450c4806aeb53be81bf58","author":{"name":"Igor Ganichev","email":"0bf7e9d70a5a498d1355b45b67b1e2c6f19cdce7@google.com"},"message":"Make eager ResNet50 call() method params conformant to convention\n\nPiperOrigin-RevId: 210028452","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/bdf526389b3dda9f79c450c4806aeb53be81bf58"},{"sha":"82ed20cb8522eb61ab1dbb810cc37573a99b751e","author":{"name":"A. Unique TensorFlower","email":"746aced590a184ef4169166e753f7c211e32e5fc@tensorflow.org"},"message":"Make resize op kernels compile on platforms where Eigen::Index != long long.\n\nPiperOrigin-RevId: 210031279","distinct":true,"url":"https://api.github.com/repos/yoya/tensorflow/commits/82ed20cb8522eb61ab1dbb810cc37573a99b751e"}]}
{"actor":{"display_login":"yoya"}}