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  1. tensorflow/c/BUILD

            "//tensorflow/core:test",
            "//tensorflow/core:test_main",
        ],
    )
    
    tf_custom_op_library(
        name = "test_op1.so",
        srcs = ["test_op1.cc"],
    )
    
    tf_kernel_library(
        name = "test_op_kernel",
        srcs = ["test_op.cc"],
        deps = [
            "//tensorflow/core:framework",
            "//tensorflow/core:lib",
        ],
        alwayslink = 1,
    )
    
    tf_cuda_cc_test(
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  2. CONTRIBUTING.md

        ```bash
        bazel test ${flags} //tensorflow/python/...
        ```
    
        For a single component e.g. softmax op:
    
        ```bash
        bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test
        ```
    
        For a single/parameterized test e.g. `test_capture_variables` in
        `tensorflow/python/saved_model/load_test.py`:
    
        (Requires `python>=3.7`)
    
        ```bash
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    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu Mar 21 11:45:51 GMT 2024
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  3. docs/tr/docs/async.md

    Hamburger 🍔 almak için 😍 aşkınla Paralel fast food'a gidiyorsun.
    
    Birden fazla kasiyer varken (varsayalım 8) sıraya girdiniz👩‍🍳👨‍🍳👩‍🍳👨‍🍳👩‍🍳👨‍🍳👩‍🍳👨‍🍳 ve sıranız gelene kadar bekliyorsunuz.
    
    Sizden önceki herkez ayrılmadan önce hamburgerlerinin 🍔 hazır olmasını bekliyor 🕙. Çünkü kasiyerlerin her biri bir hamburger hazırlanmadan önce bir sonraki siparişe geçmiiyor.
    
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  4. api/go1.txt

    pkg syscall (freebsd-386), type BpfZbuf struct, Buflen uint32
    pkg syscall (freebsd-386), type BpfZbufHeader struct
    pkg syscall (freebsd-386), type BpfZbufHeader struct, Kernel_gen uint32
    pkg syscall (freebsd-386), type BpfZbufHeader struct, Kernel_len uint32
    pkg syscall (freebsd-386), type BpfZbufHeader struct, User_gen uint32
    pkg syscall (freebsd-386), type BpfZbufHeader struct, X_bzh_pad [5]uint32
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    - Last Modified: Wed Aug 14 18:58:28 GMT 2013
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  5. CHANGELOG/CHANGELOG-1.13.md

    - Handle Windows named pipes in host mounts. ([#69484](https://github.com/kubernetes/kubernetes/pull/69484), [@ddebroy](https://github.com/ddebroy))
    - Fixed inconsistency in windows kernel proxy when updating HNS policy. ([#68923](https://github.com/kubernetes/kubernetes/pull/68923), [@delulu](https://github.com/delulu))
    
    ##  External Dependencies
    
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  6. api/go1.14.txt

    pkg syscall (freebsd-arm64), type BpfZbuf struct, Buflen uint64
    pkg syscall (freebsd-arm64), type BpfZbufHeader struct
    pkg syscall (freebsd-arm64), type BpfZbufHeader struct, Kernel_gen uint32
    pkg syscall (freebsd-arm64), type BpfZbufHeader struct, Kernel_len uint32
    pkg syscall (freebsd-arm64), type BpfZbufHeader struct, User_gen uint32
    pkg syscall (freebsd-arm64), type BpfZbufHeader struct, X_bzh_pad [5]uint32
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  7. tensorflow/BUILD

    #     visibility = ["//visibility:public"],
    # )
    # copybara:uncomment_end
    
    # 'enable_registration_v2' opts-in to a different implementation of op and
    # kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc.
    #
    # This setting is currently experimental. The 'v2' implementation does _not_
    # correspond to a particular, finalized design; rather, it relates to
    # developing one.
    #
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  8. CREDITS

    Major Component, or to implement a Standard Interface for which an
    implementation is available to the public in source code form.  A
    "Major Component", in this context, means a major essential component
    (kernel, window system, and so on) of the specific operating system
    (if any) on which the executable work runs, or a compiler used to
    produce the work, or an object code interpreter used to run it.
    
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  9. CHANGELOG/CHANGELOG-1.11.md

    ### SIG Network
    
    The main milestones for SIG Network this release are the graduation of IPVS-based load balancing and CoreDNS to general availability.
    
    IPVS is an alternative approach to in-cluster load balancing that uses in-kernel hash tables rather than the previous iptables approach, while CoreDNS is a replacement for kube-dns for service discovery.
    
    ### SIG Node
    
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    - Last Modified: Thu Feb 06 06:04:15 GMT 2020
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  10. RELEASE.md

            mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
            return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
            1e-10))` Alternatively, you can override `convolution_op`: `python class
            StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
            kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
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