build: bump TensorFlow to 2.3.0

The TensorFlow 2.3.0 release is GA'ed.  Update the version that we use.

Adjust the XLA Client logging for API changes in the latest TensorFlow
release.

Avoid the re-shuffling of the tensor during the tests.  Thanks to
@texasmichelle for tracking down the issue with the test failure!

Author: compnerd

CMakeLists.txt

@@ -128,7 +128,7 @@ if(NOT X10_FOUND AND NOT USE_BUNDLED_X10)
     GIT_REPOSITORY
       git://github.com/tensorflow/tensorflow
     GIT_TAG
-      r2.2
+      r2.3
     UPDATE_DISCONNECTED
       TRUE
     CONFIGURE_COMMAND

Dockerfile

@@ -2,6 +2,7 @@ FROM gcr.io/swift-tensorflow/base-deps-cuda10.2-cudnn7-ubuntu18.04
 
 # Allows the caller to specify the toolchain to use.
 ARG swift_tf_url=https://storage.googleapis.com/swift-tensorflow-artifacts/nightlies/latest/swift-tensorflow-DEVELOPMENT-notf-ubuntu18.04.tar.gz
+ARG bazel_version=3.1.0
 
 RUN if test -d /swift-apis/google-cloud-sdk; then \
   mv /swift-apis/google-cloud-sdk /opt/google-cloud-sdk; \
@@ -34,11 +35,12 @@ RUN echo 'deb [arch=amd64] https://storage.googleapis.com/bazel-apt stable jdk1.
 ARG DEBIAN_FRONTEND=noninteractive
 ARG DEBCONF_NONINTERACTIVE_SEEN=true
 RUN apt-get -yq update                                                          \
- && apt-get -yq install --no-install-recommends bazel-2.0.0 cmake ninja-build   \
+ && apt-get -yq install --no-install-recommends cmake ninja-build               \
  && apt-get -yq install --no-install-recommends python-dev python-pip           \
+ && apt-get -yq install --no-install-recommends bazel-$bazel_version            \
  && apt-get clean                                                               \
  && rm -rf /tmp/* /var/tmp/* /var/lib/apt/archive/* /var/lib/apt/lists/*
-RUN ln -s /usr/bin/bazel-2.0.0 /usr/bin/bazel
+RUN ln -s /usr/bin/bazel-$bazel_version /usr/bin/bazel
 RUN pip install -U pip six numpy wheel setuptools mock 'future>=0.17.1'         \
  && pip install -U --no-deps keras_applications keras_preprocessing
 

Sources/x10/xla_client/tf_logging.h

@@ -71,11 +71,11 @@ class ErrorGenerator {
   TF_ERROR_STREAM() << "Check failed: " #condition " "
 
 #define TF_CHECK_OP_LOG(name, op, val1, val2)                         \
-  while (::tensorflow::internal::CheckOpString _result =              \
-             ::tensorflow::internal::name##Impl(                      \
-                 ::tensorflow::internal::GetReferenceableValue(val1), \
-                 ::tensorflow::internal::GetReferenceableValue(val2), \
-                 #val1 " " #op " " #val2))                            \
+  while (::tensorflow::internal::CheckOpString _result{               \
+      ::tensorflow::internal::name##Impl(                             \
+          ::tensorflow::internal::GetReferenceableValue(val1),        \
+          ::tensorflow::internal::GetReferenceableValue(val2),        \
+          #val1 " " #op " " #val2)})                                  \
   TF_ERROR_STREAM() << *(_result.str_)
 
 #define TF_CHECK_OP(name, op, val1, val2) TF_CHECK_OP_LOG(name, op, val1, val2)

Tests/TensorFlowTests/OperatorTests/DatasetTests.swift

@@ -111,10 +111,11 @@ final class DatasetTests: XCTestCase {
   func testMapToDifferentType() {
     let scalars = Tensor<Float>(rangeFrom: 0, to: 5, stride: 1)
     let dataset = Dataset(elements: scalars)
-    let shuffled = dataset.shuffled(sampleCount: 5, randomSeed: 42)
-    XCTAssertEqual([0, 4, 1, 3, 2], shuffled.map { $0.scalar! })
+    let shuffled = dataset.shuffled(sampleCount: 5, randomSeed: 42,
+                                    reshuffleForEachIterator: false)
+    XCTAssertEqual([2, 1, 3, 4, 2], shuffled.map { $0.scalar! })
     let evens = shuffled.map { Tensor($0 % 2) .== Tensor(0) }
-    XCTAssertEqual(evens.map { $0.scalar! }, [true, true, false, false, true])
+    XCTAssertEqual(evens.map { $0.scalar! }, [true, false, false, true, true])
   }
 
   func testSingleValueBatched() {