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requirements_lock_3_10.txt
--hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \
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requirements_lock_3_12.txt
--hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \
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requirements_lock_3_9.txt
--hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \
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tensorflow/c/c_api_function.cc
control_output_nodes.push_back(&control_outputs[i]->node); } // Do the actual function creation. DCHECK(append_hash_to_fn_name <= 1); tensorflow::FunctionDef fdef; status->status = tensorflow::GraphToFunctionDef( fn_body->graph, fn_name, append_hash_to_fn_name != 0, /*set_stateful_from_nodes=*/true, /*copy_placeholder_attrs_from_nodes=*/true, body_nodes, input_tensors,
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.github/workflows/update-rbe.yml
# metadata. gcr.io helpfully includes it in the header of the response # as docker-content-digest: sha256:[digest]. Note we use egrep to # match exactly sha256:<hash> because curl may include a ^M symbol at # the end of the line. # See https://cloud.google.com/architecture/using-container-images#exploring_image_manifests_digests_and_tags
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.bazelrc
build:rbe_linux_cuda_nvcc --config=nvcc_clang build:rbe_linux_cuda_nvcc --repo_env TF_NCCL_USE_STUB=1 build:rbe_win_base --config=rbe_base build:rbe_win_base --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe build:rbe_win_base --remote_instance_name=projects/tensorflow-testing/instances/windows # Don't build the python zip archive in the RBE build. build:rbe_win_base --remote_download_minimal
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requirements_lock_3_11.txt
--hash=sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574 \ --hash=sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e \ --hash=sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519 \ --hash=sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898 \ --hash=sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269 \
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tensorflow/c/eager/BUILD
":tape", "//tensorflow/core/common_runtime/eager:attr_builder", "//tensorflow/core/lib/llvm_rtti", "//tensorflow/core/platform:errors", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/strings", ], ) cc_library( name = "unified_api_testutil", testonly = 1, srcs = [ "unified_api_testutil.cc", ], hdrs = [
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tensorflow/c/eager/c_api_experimental.cc
#include "tensorflow/c/eager/c_api_experimental.h" #include <cstdint> #include <memory> #include <utility> #include <vector> #include "absl/container/flat_hash_map.h" #include "absl/strings/match.h" #include "absl/time/time.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
RELEASE.md
to `tf.string_strip`), `tf.strings.substr`, `tf.strings.to_hash_bucket` (corresponds to `tf.string_to_hash_bucket`), `tf.strings.to_hash_bucket_fast` (corresponds to `tf.string_to_hash_bucket_fast`), `tf.strings.to_hash_bucket_strong` (corresponds to `tf.string_to_hash_bucket_strong`). ## Thanks to our Contributors
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