# A shared object which includes registration mechanisms for ops and
# kernels. Does not include the implementations of any ops or kernels. Instead,
# the library which loads libtensorflow_framework.so
# (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C
# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via

	if err != nil {
		b.Fatal(err)
	}

	// benchmark utility which helps obtain number of allocations and bytes allocated per ops.
	b.ReportAllocs()
	// the actual benchmark for PutObject starts here. Reset the benchmark timer.
	b.ResetTimer()

	if err := req.ParseForm(); err != nil {
		b.Fatal(err)
	}

        double overallTimeMs = (overallEnd - overallStart) / 1_000_000.0;
        double avgThreadTimeMs = totalTime.get() / (threadCount * 1_000_000.0);

        System.out.printf("Connection Pool Performance: %d ops in %.2f ms (%.2f ms avg per thread)%n", successCount.get(), overallTimeMs,
                avgThreadTimeMs);

        // Verify performance improvements

        "//tensorflow/core/kernels/data:optional_ops_util",
        "//tensorflow/core/platform:abi",
    ]),
    alwayslink = 1,
)

tf_cuda_library(
    name = "ops",
    srcs = [
        "ops.cc",
    ],
    hdrs = [
        "ops.h",
    ],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = [
        ":c_api_macros_hdrs",
        ":tf_datatype",

* Add ops to `tensorflow.raw_ops` that were missing.

* `tf.CheckpointOptions`

# https://github.com/apache/lucene-solr/blob/master/lucene/analysis/common/src/resources/org/apache/lucene/analysis/lv/stopwords.txt
aiz
ap
ar
apakš
ārpus
augšpus
bez
caur
dēļ
gar
iekš
iz
kopš
labad
lejpus
līdz
no
otrpus
pa
par
pār
pēc
pie
pirms
pret
priekš
starp
šaipus
uz
viņpus
virs
virspus
zem
apakšpus
# Conjunctions
un
bet
jo
ja
ka

existing object replication are not marked as `PENDING` prior to replication.

	// md5sum of the data to written is required as input for PutObject.

	md5hex := getMD5Hash(textData)
	sha256hex := ""

	// benchmark utility which helps obtain number of allocations and bytes allocated per ops.
	b.ReportAllocs()
	// the actual benchmark for PutObject starts here. Reset the benchmark timer.

	for i := 0; b.Loop(); i++ {
		// insert the object.

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

		adminRouter.Methods(http.MethodPut).Path(adminVersion+"/set-user-status").HandlerFunc(adminMiddleware(adminAPI.SetUserStatus)).Queries("accessKey", "{accessKey:.*}").Queries("status", "{status:.*}")

		// Service accounts ops
		adminRouter.Methods(http.MethodPut).Path(adminVersion + "/add-service-account").HandlerFunc(adminMiddleware(adminAPI.AddServiceAccount))