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tensorflow/c/eager/abstract_operation.h
}; explicit AbstractOperation(AbstractOperationKind kind) : kind_(kind) {} virtual ~AbstractOperation() {} public: AbstractOperationKind getKind() const { return kind_; } // Release any underlying resources, including the interface object. // // WARNING: The destructor of this class is marked as protected to disallow // clients from directly destroying this object since it may manage it's own
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
README.md
for machine learning. It has a comprehensive, flexible ecosystem of [tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and [community](https://www.tensorflow.org/community) resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
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tensorflow/c/eager/abstract_context.h
explicit AbstractContext(AbstractContextKind kind) : kind_(kind) {} virtual ~AbstractContext() {} public: AbstractContextKind getKind() const { return kind_; } // Release any underlying resources, including the interface object. // // WARNING: The destructor of this class is marked as protected to disallow // clients from directly destroying this object since it may manage its own
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ci/official/containers/linux_arm64/build.sh
# almost all of the same cache layers export DOCKER_BUILDKIT=1 for target in jax tf; do IMAGE="gcr.io/tensorflow-sigs/build-arm64:$target-$TAG" docker pull "$IMAGE" || true # Due to some flakiness of resources pulled in the build, allow the docker # command to reattempt build a few times in the case of failure (b/302558736) set +e for i in $(seq 1 5) do docker build \
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 03 13:38:49 GMT 2023 - 2.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TF_Status* status); // Some TF ops need a step container to be set to limit the lifetime of some // resources (mostly TensorArray and Stack, used in while loop gradients in // graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx);
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ci/official/wheel_test/test_import_api_packages.py
""" import logging import unittest import pkg_resources logging.basicConfig(level=logging.INFO) class ImportApiPackagesTest(unittest.TestCase): """ImportApiPackagesTest class. See description at the top of the file.""" def setUp(self): def _get_api_packages_v2(): api_packages_path = pkg_resources.resource_filename( "tensorflow", "_api/v2/api_packages.txt" )
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 13 15:52:07 GMT 2023 - 3.3K bytes - Viewed (0) -
tensorflow/c/c_api.cc
*dst = tensorflow::Tensor(tensorflow::DT_RESOURCE, dst->shape()); if (!dst->scalar<tensorflow::ResourceHandle>()().ParseFromString( string(static_cast<const char*>(tensor_interface->Data()), tensor_interface->ByteSize()))) { return InvalidArgument( "Malformed TF_RESOURCE tensor: unable to parse resource handle"); } return absl::OkStatus(); } return absl::OkStatus(); }
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tensorflow/c/env.h
// Item points are invalidated after a call to TF_StringStreamDone. TF_CAPI_EXPORT extern bool TF_StringStreamNext(TF_StringStream* list, const char** result); // Frees the resources associated with given string list. All pointers returned // by TF_StringStreamNext are invalid after this call. TF_CAPI_EXPORT extern void TF_StringStreamDone(TF_StringStream* list);
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tensorflow/c/experimental/ops/BUILD
"//tensorflow/core:framework", "//tensorflow/core/platform:errors", ], ) cc_library( name = "resource_variable_ops", srcs = [ "resource_variable_ops.cc", ], hdrs = [ "resource_variable_ops.h", ], visibility = [ "//tensorflow:internal", ], deps = [ "//tensorflow/c/eager:abstract_context",
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tensorflow/c/eager/parallel_device/BUILD
], visibility = ["//tensorflow/python:__pkg__"], ) filegroup( name = "sources", srcs = [ ":device_sources", ":lib_sources", ], visibility = ["//tensorflow/python:__pkg__"], ) cc_library( name = "parallel_device", srcs = [":device_sources"], hdrs = [":device_headers"], visibility = ["//visibility:private"], deps = [
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