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ci/official/requirements_updater/README.md
updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed requirements file for each version, with hashes specified for each dependency required, as well as their sub-dependencies. ### How to update/add requirements By default, the name of the base requirements file is `requirements.in`, but it
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
TF_EXPECT_OK(ReadCache(&cache, "", block_size, block_size, &out)); EXPECT_EQ(out.size(), 1); // Now read the first block; this should yield an INTERNAL error because we // had already cached a partial block at a later position. Status status = ReadCache(&cache, "", 0, block_size, &out); EXPECT_EQ(status.code(), error::INTERNAL); } TEST(RamFileBlockCacheTest, LRU) { const size_t block_size = 16;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/code_check_changed_files.bats
git diff --diff-filter ACMRT --name-only origin/master > $BATS_FILE_TMPDIR/changed_files fi } # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check buildifier formatting on BUILD files" { echo "buildifier formatting is recommended. Here are the suggested fixes:" echo "============================="
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ci/official/utilities/extract_resultstore_links.py
tests_failed = 'tests_failed' build_failed = 'build_failed' passed = 'passed' def parse_args() -> argparse.Namespace: """Parses the commandline args.""" parser = argparse.ArgumentParser( description='Extracts ResultStore links from a build log.\n' 'These can be then printed out, and/or output into a ' 'JUnit-based XML file inside a specified directory.')
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ci/official/containers/linux_arm64/jax.requirements.txt
# JAX requirements, passed into container by defining the ARG # REQUIREMENTS_FILE=jax.requirements.txt setuptools wheel cloudpickle colorama>=0.4.4 matplotlib pillow>=9.1.0 rich absl-py portpicker six opt-einsum auditwheel typing_extensions importlib_metadata>=4.6 numpy==1.26.0;python_version=="3.12" numpy==1.23.4;python_version=="3.11" numpy==1.22.4;python_version<"3.11" scipy==1.11.2;python_version=="3.12"
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tensorflow/c/eager/parallel_device/parallel_device.cc
} // For TFE_CustomDevice::copy_tensor_to_device in the parallel device // registration. // // Since this function is used to satisfy the TFE_CustomDevice C API, // device_info is passed in using a C-style generic. It must always be a // ParallelDevice. TFE_TensorHandle* CopyToParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor,
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tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
} void Variable::Assign(TFE_Context* context, TFE_TensorHandle* value, TF_Status* status) { GeneralAssignment("AssignVariableOp", context, value, status); } // Passed to `TF_NewTensor` to indicate how an array of floats should be // deleted. static void FloatDeallocator(void* data, size_t, void* arg) { delete[] static_cast<float*>(data); }
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tensorflow/c/experimental/next_pluggable_device/c_api.cc
} // ------------------------- VariableInfo ------------------------------------ struct TF_VariableInfo { TF_VariableInfo() = delete; // TF_VariableInfo is constructed here by TensorFlow, and will be passed to // plugin as a opaque pointer. Plugin will need to call C APIs below to // operate on TF_VariableInfo (such as allocate temp tensor for the `var` held // by the underlying tensorflow::VariableInfo.
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tensorflow/c/c_api_function.cc
TF_Status* status) { tensorflow::AttrValue attr_value; if (!attr_value.ParseFromArray(proto, proto_len)) { status->status = InvalidArgument( "Unparseable AttrValue proto passed to " "TF_FunctionSetAttrValueProto"); return; } auto fdef_or = func->record->mutable_fdef(); if (!fdef_or.ok()) { status->status = fdef_or.status(); return; }
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tensorflow/c/c_api.h
// // Conventions: // * We use the prefix TF_ for everything in the API. // * Objects are always passed around as pointers to opaque structs // and these structs are allocated/deallocated via the API. // * TF_Status holds error information. It is an object type // and therefore is passed around as a pointer to an opaque // struct as mentioned above. // * Every call that has a TF_Status* argument clears it on success
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