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CONTRIBUTING.md
execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799). 2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts. ```bash # Install Docker first, then this will build and run cpu tests tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/... ``` See
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
_test_gpu$ _test_gpu.py$ _test_lib$ //tensorflow/cc/saved_model:saved_model_test_files //tensorflow/cc/saved_model:saved_model_half_plus_two //tensorflow:no_tensorflow_py_deps //tensorflow/tools/pip_package:win_pip_package_marker //tensorflow/core:image_testdata //tensorflow/core/lib/lmdb:lmdb_testdata //tensorflow/core/lib/lmdb/testdata:lmdb_testdata //tensorflow/core/kernels/cloud:bigquery_reader_ops //tensorflow/python:extra_py_tests_deps
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tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT TFE_TensorHandle* TFE_NewTensorHandleFromTensor( TFE_Context* ctx, TF_Tensor* t, TF_Status* status); // Create a packed TensorHandle with the given list of TensorHandles. // If `handles` are on the same device, assign the same device to the packed // handle; if `handles` are on different deivces, assign a CompositeDevice to // it. TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_CreatePackedTensorHandle(
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tensorflow/c/eager/immediate_execution_context.h
Status* status) = 0; // Create an operation to perform op execution ImmediateExecutionOperation* CreateOperation() override = 0; // Returns whether the runtime is backed by TFRT or the legacy TF Eager // Runtime. This is necessary to decouple runtime-dependent // code that is layered on top of the runtime. virtual bool UsesTFRT() = 0; // List attributes of available devices
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ci/devinfra/docker_windows/Dockerfile
# Workaround for networking (b/112379377) was closed as won't fix for MTU setting. # Remaining lines handle making the metadata server on the VM accessible inside docker. RUN Get-NetAdapter | Where-Object Name -like "*Ethernet*" | ForEach-Object { \ & netsh interface ipv4 set subinterface $_.InterfaceIndex mtu=1460 store=persistent }; \
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ci/official/utilities/code_check_full.bats
_test_gpu$ _test_gpu.py$ _test_lib$ //tensorflow/cc/saved_model:saved_model_test_files //tensorflow/cc/saved_model:saved_model_half_plus_two //tensorflow:no_tensorflow_py_deps //tensorflow/tools/pip_package:win_pip_package_marker //tensorflow/core:image_testdata //tensorflow/core/kernels/cloud:bigquery_reader_ops //tensorflow/python:extra_py_tests_deps //tensorflow/python:mixed_precision //tensorflow/python:tf_optimizer
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tensorflow/c/eager/tape.h
// While the Accumulate method is running (accumulating is True), any op // executions not forwarded to backward_tape should be ignored. bool accumulating; }; // A deque-backed stack, whose element references are not invalidated by // pushes and pops at the back. std::stack<AccumulatorCallState> call_state_; }; // Template instantiations here
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tensorflow/c/eager/c_api_distributed_test.cc
TFE_TensorHandle* packed_handle = TFE_CreatePackedTensorHandle(ctx, handles.data(), &num_replicas, status); ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); EXPECT_EQ(TFE_TensorHandleDataType(packed_handle), TF_RESOURCE); EXPECT_EQ(TFE_TensorHandleNumDims(packed_handle, status), 0); EXPECT_EQ(TFE_TensorHandleNumElements(packed_handle, status), 1);
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README.md
See the [TensorFlow install guide](https://www.tensorflow.org/install) for the [pip package](https://www.tensorflow.org/install/pip), to [enable GPU support](https://www.tensorflow.org/install/gpu), use a [Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for
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tensorflow/c/eager/parallel_device/parallel_device.cc
if (*requested_placement == '\0') { TF_SetStatus( status, TF_INTERNAL, "Ops must be placed on the parallel device explicitly, or their inputs " "first un-packed. Got an un-placed op with an input placed on the " "parallel device."); return; } TFE_Context* context = TFE_OpGetContext(original_op, status); if (TF_GetCode(status) != TF_OK) return;
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