build:windows --cxxopt=/std:c++17
build:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
build:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
build:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible
build:windows --copt=-DWIN32_LEAN_AND_MEAN
build:windows --host_copt=-DWIN32_LEAN_AND_MEAN

    ],
    hdrs = [
        "utils/size_utils.h",
    ],
    deps = [
        "@llvm-project//mlir:IR",
    ],
)

tf_cc_test(
    name = "size_utils_test",
    size = "small",
    srcs = ["utils/size_utils_test.cc"],
    deps = [
        ":size_utils",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "@llvm-project//mlir:IR",
    ],
)

}

// DeleteObjects deletes objects/versions in bulk, this function will still automatically split objects list
// into smaller bulks if some object names are found to be duplicated in the delete list, splitting
// into smaller bulks will avoid holding twice the write lock of the duplicated object names.

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of

          all_valid = False
        else:
          ver = int(sm_compute_match.group(2))
          if ver < 30:
            print(
                'ERROR: TensorFlow only supports small CUDA compute'
                ' capabilities of sm_30 and higher. Please re-specify the list'
                ' of compute capabilities excluding version %s.' % ver)
            all_valid = False
          if ver < 35:

		state.currentState.registers = make([][]SlotID, len(state.registers))
	} else {
		state.currentState.registers = state.currentState.registers[:len(state.registers)]
	}

	// A relatively small slice, but used many times as the return from processValue.
	state.changedVars = newSparseSet(numVars)
	state.changedSlots = newSparseSet(numSlots)

		"0xc0.0xa8.0x8c.0xff",
		// IPv4 in class B form
		"192.168.12345",
		// IPv4 in class B form, with a small enough number to be
		// parseable as a regular dotted decimal field.
		"127.0.1",
		// IPv4 in class A form
		"192.1234567",
		// IPv4 in class A form, with a small enough number to be
		// parseable as a regular dotted decimal field.
		"127.1",
		// IPv4 field has value >255
		"192.168.300.1",

    return success();
  }
};

// Rewrites `TensorListResize` op into a functional `If` op and several basic
// TF ops to match the op semantics of Tensorflow. Basically, it does:
// 1) If the requested size is smaller or equal than the input tensorlist's
// size, rewrite it to a Slice op so that only the first 'size' rows are
// returned. 2) If the requested size is larger than the input tensorlist's

	"github.com/minio/minio/internal/disk"
	xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/minio/minio/internal/logger"
	"github.com/pkg/xattr"
)

const (
	nullVersionID = "null"

	// Small file threshold below which data accompanies metadata from storage layer.
	smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any