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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous. bazel query "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)" done < $BATS_TEST_TMPDIR/missing_deps exit 1 fi } # The Python package is not allowed to depend on any CUDA packages.
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tensorflow/c/c_api.cc
// DT_RESOURCE. The string serialization is converted back to a // ResourceHandle during Session run where the TF_Tensor is converted to a // Tensor. // TFv2 does not depend on this conversion. There is no matching // TF_TensorFromTensorV1 because the conversion to string is performed by the // python side of Session. static Status TF_TensorToTensorV1(const TF_Tensor* src, Tensor* dst) {
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ci/official/utilities/code_check_full.bats
# it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous. bazel cquery "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)" done < $BATS_TEST_TMPDIR/missing_deps exit 1 fi } # The Python package is not allowed to depend on any CUDA packages.
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.bazelrc
# hope to provide a better mechanism for control over symbol exporting, and # then tackle this issue again. # # TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping # all library archives in -whole_archive -no_whole_archive. build --noincompatible_remove_legacy_whole_archive build --features=-force_no_whole_archive
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tensorflow/api_template_v1.__init__.py
For more information, please see: * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md * https://github.com/tensorflow/addons * https://github.com/tensorflow/io (for I/O related ops) If you depend on functionality not listed there, please file an issue. """ contrib = _LazyLoader("contrib", globals(), "tensorflow.contrib", _CONTRIB_WARNING)
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tensorflow/c/BUILD
], "//conditions:default": [], }) + if_tensorrt([ "//tensorflow/compiler/tf2tensorrt:trt_convert_api", ]), ) # Check that c_api_no_xla does not depend on xla. check_deps( name = "c_api_no_xla_check_deps", disallowed_deps = ["//tensorflow/compiler/jit:xla_kernel_creator"], deps = [":c_api_no_xla"], ) tf_cuda_library(
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LICENSE
License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability.
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tensorflow/BUILD
visibility = ["//visibility:public"], win_def_file = ":tensorflow_filtered_def_file", ) # To avoid duplication, check that the C++ or python library does not depend on # the stream executor cuda plugins. Targets that want to use cuda APIs should # instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config # and use header only targets. # TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on
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RELEASE.md
* Adds 3D mesh support in TPU configurations ops. * Added TPU code for `FTRL` with `multiply_linear_by_lr`. * Silently adds a new file system registry at `gstpu`. * Support `restartType` in cloud tpu client. * Depend on a specific version of google-api-python-client. * Fixes apiclient import. ### Tracing and Debugging * Add a `TFE_Py_Execute` traceme. ### XLA Support
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tensorflow/c/c_api.h
// Type of elements of the list if is_list != 0. // Type of the single value stored in the attribute if is_list == 0. TF_AttrType type; // Total size the attribute value. // The units of total_size depend on is_list and type. // (1) If type == TF_ATTR_STRING and is_list == 0 // then total_size is the byte size of the string // valued attribute. // (2) If type == TF_ATTR_STRING and is_list == 1
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