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ci/official/wheel_test/README.md
the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first.
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ci/official/utilities/code_check_changed_files.bats
} # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check formatting for C++ files" { skip "clang-format doesn't match internal clang-format checker" echo "clang-format is recommended. Here are the suggested changes:" echo "============================="
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// /// Plugins: /// * Must set `status` to `TF_OK` if `file` was updated. /// * Must set `status` to `TF_NOT_FOUND` if `path` doesn't point to an /// existing file or one of the parent entries in `path` doesn't exist. /// * Must set `status` to `TF_FAILED_PRECONDITION` if `path` points to a /// directory or if it is invalid (e.g., malformed, or has a parent entry
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
tensorflow/c/eager/tfe_op_attrs_internal.h
typedef struct TFE_Context TFE_Context; typedef struct TFE_Op TFE_Op; namespace tensorflow { DEFINE_CONVERSION_FUNCTIONS(tensorflow::AbstractOpAttrs, TFE_OpAttrs); // Set an AttrValue on the op. Doesn't handle the list types. void SetOpAttrValueScalar(TFE_Context* ctx, TFE_Op* op, const tensorflow::AttrValue& default_value, const char* attr_name, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 10 05:41:19 GMT 2021 - 1.6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
calls.push_back(0); TF_EXPECT_OK(ReadCache(&cache, "", 0, 1, &out)); // Element at 2 * block_size is still in cache, and this read should update // its position in the LRU list so it doesn't get evicted by the next read. TF_EXPECT_OK(ReadCache(&cache, "", 2 * block_size, 1, &out)); // Element at block_size was evicted. Reading this element will also cause // the LRU element (at 0) to be evicted.
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tensorflow/c/eager/dlpack.cc
tensorflow::TensorHandle* handle = tensorflow::TensorHandleFromInterface(tensorflow::unwrap(h)); if (handle->Type() != TensorHandle::LOCAL) { status->status = tensorflow::errors::InvalidArgument( "DLPack doesn't support ", handle->TypeString(), " tensor"); return nullptr; } const tensorflow::Tensor* tensor; status->status = handle->Tensor(&tensor); if (!status->status.ok()) { return nullptr; }
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# calls javac with options that create generated files under a # bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a # simple way to parameterize this from bazel, hence this helper to # "normalize" the srcjar layout. # # Arguments: # src_jar - path to the original srcjar # dest_jar - path to the destination
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
done < $BATS_TEST_TMPDIR/missing_deps exit 1 fi } # The Python package is not allowed to depend on any CUDA packages. @test "Pip package doesn't depend on CUDA" { bazel cquery \ --experimental_cc_shared_library \ --@local_config_cuda//:enable_cuda \ "somepath(//tensorflow/tools/pip_package:build_pip_package, " \
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tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(dims[0], returned_dims[0]); EXPECT_EQ(dims[1], returned_dims[1]); // Try to set 'unknown' with unknown rank on the shape and see that // it doesn't change. TF_GraphSetTensorShape(graph, feed_out_0, /*dims=*/nullptr, -1, s); EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s);
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
if (info->plugin_memory_allocate == nullptr) return errors::FailedPrecondition( "Cannot load filesystem plugin which does not provide " "`plugin_memory_allocate`"); if (info->plugin_memory_free == nullptr) return errors::FailedPrecondition( "Cannot load filesystem plugin which does not provide " "`plugin_memory_free`"); return OkStatus(); } namespace filesystem_registration {
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