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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" { # grep patterns for packages whose dependencies can be ignored
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tensorflow/c/eager/c_api.h
// a copy, returns the destination device of the copy. Note that the returned // device name is not always the device holding the tensor handle's memory. If // you want the latter, use TFE_TensorHandleBackingDeviceName. This function // will block till the operation that produces `h` has completed. TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceName( TFE_TensorHandle* h, TF_Status* status);
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CONTRIBUTING.md
* [Python license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/nn.py#L1) * [Java license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/Graph.java#L1) * [Go license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/go/operation.go#L1)
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tensorflow/c/eager/c_api_experimental.h
// creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same // `raw_device_name`, it skips parsing and just leave as it is. TF_CAPI_EXPORT extern void TFE_OpReset(TFE_Op* op_to_reset,
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ci/official/utilities/code_check_full.bats
# their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" { # grep patterns for packages whose dependencies can be ignored
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tensorflow/c/eager/c_api_cluster_test.cc
serialized_update.size(), status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); // The device of var_handle0 is local device which is the same before and // after cluster update. Remove resource with valid device should succeed. TFE_Op* op = TFE_NewOp(ctx, "DestroyResourceOp", status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, var_handle0, status);
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tensorflow/c/eager/tape.h
// // Like GradientTape::RecordOperation, this method takes the operation type // `op_type` (e.g. "Add"), the operation's inputs (`input_tensors`, // `input_tensor_id`, and `input_dtypes`; the latter two are somewhat // redundant but taken as arguments to avoid repeatedly fetching these values // between calls to ShouldRecord and Accumulator), and its outputs // (`output_tensors`). //
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ci/devinfra/docker_windows/Dockerfile
FROM mcr.microsoft.com/dotnet/framework/sdk:4.8-windowsservercore-ltsc2019 # Set default powershell policy for this script (ProgressPreference='SilentlyContinue' makes # downloads with Invoke-WebRequest not show the progress bar and is MUCH faster). SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", "$ErrorActionPreference='Stop'; $ProgressPreference='SilentlyContinue'; $VerbosePreference = 'Continue';"]
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tensorflow/c/c_api_experimental.h
size_t proto_len, TF_Status* status); // Aborts all ongoing collectives with the specified status. After abortion, // subsequent collectives will error with this status immediately. To reset the // collectives, create a new EagerContext. // // This is intended to be used when a peer failure is detected.
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README.md
## Resources * [TensorFlow.org](https://www.tensorflow.org) * [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/) * [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official) * [TensorFlow Examples](https://github.com/tensorflow/examples) * [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow) * [TensorFlow Blog](https://blog.tensorflow.org)
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