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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// `StartExecute`s will deadlock). // // If `is_async=false` (constructor argument), `cancellation_manager` must // live until `Join` finishes. If `is_async=true` it must live until `Join` is // followed by `TFE_ContextAsyncWait` to clear pending operations. It will be // used to cancel all other operations if any fails. //
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CONTRIBUTING.md
of the contribution must be compared against the cost of maintaining the feature. * Full new features (e.g., a new op implementing a cutting-edge algorithm) typically will live in [tensorflow/addons](https://github.com/tensorflow/addons) to get some airtime before a decision is made regarding whether they are to be migrated to the core.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Requests that the worker thread execute the specified operation. Blocks // until the previously pending operation (a StartExecute without a Join) has // finished, if any. // // `cancellation_manager` must live until after `Join` finishes and pending // `is_async` operations finish. In addition to allowing the caller to cancel // the operation, its `StartCancel` method will be called if op execution
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just
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tensorflow/c/c_api_experimental_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_); TFE_OpSetAttrType(fill_op, "T", TF_FLOAT); TFE_OpSetAttrType(fill_op, "Tshape", TF_INT32); float five = 5.0; TFE_TensorHandle* scalar = TestScalarTensorHandle(tfe_context_, five); TF_Tensor* scalarTensor = TFE_TensorHandleResolve(scalar, status_); CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_); CheckOutputShapes(fill_op,
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tensorflow/c/c_api_function_test.cc
} // Define function, use it in graph, and run DefineT(-1, {}, {{feed1, 0}, {feed2, 0}}, {outputs[0]}, {}); TF_Operation* five = ScalarConst(5, host_graph_, s_, "five"); TF_Operation* func_feed = Placeholder(host_graph_, s_); TF_Operation* func_op = Use({func_feed, five}); Run({{func_feed, Int32Tensor(2)}}, func_op, 2 /*+=*/ + 5 + 1); // Verify input, output, and subset of edges in fdef.
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LICENSE
Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and
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RELEASE.md
* Add `execute_fn_for_device function` to dynamically choose the implementation based on underlying device placement. * Eager: * Add `reduce_logsumexp` benchmark with experiment compile. * Give `EagerTensor`s a meaningful `__array__` implementation. * Add another version of defun matmul for performance analysis. * `tf.function`/AutoGraph:
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.bazelrc
test:release_linux_base --build_tests_only --keep_going --test_output=errors --verbose_failures=true test:release_linux_base --local_test_jobs=HOST_CPUS test:release_linux_base --test_env=LD_LIBRARY_PATH # Give only the list of failed tests at the end of the log test:release_linux_base --test_summary=short # Use the Clang toolchain to compile build:release_cpu_linux --config=release_linux_base
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