[WIP] Upgrade to tf2.15. (#809)

* [WIP] Upgrade to tf2.15.

* format and wheel test fixes.

* Version bump again for wheel test.

* Back to python3.10

* remove setup.py deps.

* more format fixes.

* yet more format.

* C++ code formats.

* Tutorial fix p1.

* Tutorial fix p2.

* Tutorials p3.

* Add updated install instructions and tutorial install versions.

* final cleanup

* add setup.py

---------

Co-authored-by: root <[email protected]>

.bazelversion

@@ -1 +1,2 @@
-5.3.0
+6.5.0
+# NOTE: Update Bazel version in tensorflow/tools/ci_build/release/common.sh.oss

.github/workflows/ci.yaml

@@ -11,7 +11,7 @@ jobs:
       - uses: actions/checkout@v1
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.9'
+          python-version: '3.10'
           architecture: 'x64'
       - name: Install Lint tools
         run: pip install --upgrade pip setuptools; pip install -r requirements.txt;
@@ -26,7 +26,7 @@ jobs:
       - uses: actions/checkout@v1
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.9'
+          python-version: '3.10'
           architecture: 'x64'
       - name: Install Format tools
         run: pip install --upgrade pip setuptools; pip install -r requirements.txt; sudo apt-get install -y clang-format-6.0
@@ -41,7 +41,7 @@ jobs:
       - uses: actions/checkout@v1
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.9'
+          python-version: '3.10'
           architecture: 'x64'
       - name: Install Bazel on CI
         run: ./scripts/ci_install.sh
@@ -61,7 +61,7 @@ jobs:
       - uses: actions/checkout@v1
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.9'
+          python-version: '3.10'
           architecture: 'x64'
       - name: Install Bazel on CI
         run: ./scripts/ci_install.sh
@@ -79,7 +79,7 @@ jobs:
       - uses: actions/checkout@v1
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.9'
+          python-version: '3.10'
           architecture: 'x64'
       - name: Install Bazel on CI
         run: ./scripts/ci_install.sh
@@ -97,7 +97,7 @@ jobs:
       - uses: actions/checkout@v1
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.9'
+          python-version: '3.10'
           architecture: 'x64'
       - name: Install notebook dependencies
         run: pip install --upgrade pip seaborn==0.10.0

WORKSPACE

@@ -1,10 +1,13 @@
 # This file includes external dependencies that are required to compile the
 # TensorFlow op.
 
+
+
 load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
 
-EIGEN_COMMIT = "3bb6a48d8c171cf20b5f8e48bfb4e424fbd4f79e"
-EIGEN_SHA256 = "eca9847b3fe6249e0234a342b78f73feec07d29f534e914ba5f920f3e09383a3"
+
+
+EIGEN_COMMIT = "aa6964bf3a34fd607837dd8123bc42465185c4f8"
 
 
 http_archive(
@@ -16,7 +19,6 @@ cc_library(
   visibility = ["//visibility:public"],
 )
     """,
-    sha256 = EIGEN_SHA256,
         strip_prefix = "eigen-{commit}".format(commit = EIGEN_COMMIT),
         urls = [
             "https://storage.googleapis.com/mirror.tensorflow.org/gitlab.com/libeigen/eigen/-/archive/{commit}/eigen-{commit}.tar.gz".format(commit = EIGEN_COMMIT),
@@ -27,35 +29,41 @@ cc_library(
 http_archive(
     name = "qsim",
     sha256 = "b9c1eba09a885a938b5e73dfc2e02f5231cf3b01d899415caa24769346a731d5",
+    # patches = [
+    #     "//third_party/tf:qsim.patch",
+    # ],
     strip_prefix = "qsim-0.13.3",
     urls = ["https://github.com/quantumlib/qsim/archive/refs/tags/v0.13.3.zip"],
 )
 
 http_archive(
     name = "org_tensorflow",
-    sha256 = "e52cda3bae45f0ae0fccd4055e9fa29892b414f70e2df94df9a3a10319c75fff",
-    strip_prefix = "tensorflow-2.11.0",
+    patches = [
+        "//third_party/tf:tf.patch",
+    ],
+    # sha256 = "e52cda3bae45f0ae0fccd4055e9fa29892b414f70e2df94df9a3a10319c75fff",
+    strip_prefix = "tensorflow-2.15.0",
     urls = [
-        "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.11.0.zip",
+        "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.15.0.zip",
     ],
 )
 
 
-load("@org_tensorflow//tensorflow:workspace3.bzl", "workspace")
+load("@org_tensorflow//tensorflow:workspace3.bzl", "tf_workspace3")
 
-workspace()
+tf_workspace3()
 
-load("@org_tensorflow//tensorflow:workspace2.bzl", "workspace")
+load("@org_tensorflow//tensorflow:workspace2.bzl", "tf_workspace2")
 
-workspace()
+tf_workspace2()
 
-load("@org_tensorflow//tensorflow:workspace1.bzl", "workspace")
+load("@org_tensorflow//tensorflow:workspace1.bzl", "tf_workspace1")
 
-workspace()
+tf_workspace1()
 
-load("@org_tensorflow//tensorflow:workspace0.bzl", "workspace")
+load("@org_tensorflow//tensorflow:workspace0.bzl", "tf_workspace0")
 
-workspace()
+tf_workspace0()
 
 load("//third_party/tf:tf_configure.bzl", "tf_configure")
 
@@ -72,4 +80,3 @@ bind(
     name = "six",
     actual = "@six_archive//:six",
 )
-

configure.sh

@@ -73,21 +73,21 @@ done
 
 
 # Check if it's installed
-if [[ $(pip show tensorflow) == *tensorflow* ]] || [[ $(pip show tf-nightly) == *tf-nightly* ]]; then
-  echo 'Using installed tensorflow'
-else
-  # Uninstall CPU version if it is installed.
-  if [[ $(pip show tensorflow-cpu) == *tensorflow-cpu* ]]; then
-    echo 'Already have tensorflow non-gpu installed. Uninstalling......\n'
-    pip uninstall tensorflow
-  elif [[ $(pip show tf-nightly-cpu) == *tf-nightly-cpu* ]]; then
-    echo 'Already have tensorflow non-gpu installed. Uninstalling......\n'
-    pip uninstall tf-nightly
-  fi
-  # Install GPU version
-  echo 'Installing tensorflow .....\n'
-  pip install tensorflow
-fi
+# if [[ $(pip show tensorflow) == *tensorflow* ]] || [[ $(pip show tf-nightly) == *tf-nightly* ]]; then
+#   echo 'Using installed tensorflow'
+# else
+#   # Uninstall CPU version if it is installed.
+#   if [[ $(pip show tensorflow-cpu) == *tensorflow-cpu* ]]; then
+#     echo 'Already have tensorflow non-gpu installed. Uninstalling......\n'
+#     pip uninstall tensorflow
+#   elif [[ $(pip show tf-nightly-cpu) == *tf-nightly-cpu* ]]; then
+#     echo 'Already have tensorflow non-gpu installed. Uninstalling......\n'
+#     pip uninstall tf-nightly
+#   fi
+#   # Install GPU version
+#   echo 'Installing tensorflow .....\n'
+#   pip install tensorflow
+# fi
 
 
 

docs/install.md

@@ -10,14 +10,14 @@ There are a few ways to set up your environment to use TensorFlow Quantum (TFQ):
   Python's pip package manager.
 * Or build TensorFlow Quantum from source.
 
-TensorFlow Quantum is supported on Python 3.7, 3.8, and 3.9 and depends directly on [Cirq](https://github.com/quantumlib/Cirq).
+TensorFlow Quantum is supported on Python 3.9, 3.10, and 3.11 and depends directly on [Cirq](https://github.com/quantumlib/Cirq).
 
 ## Pip package
 
 ### Requirements
 
-* pip 19.0 or later (requires `manylinux2010` support)
-* [TensorFlow == 2.11.0](https://www.tensorflow.org/install/pip)
+* pip 19.0 or later (requires `manylinux2014` support)
+* [TensorFlow == 2.15.0](https://www.tensorflow.org/install/pip)
 
 See the [TensorFlow install guide](https://www.tensorflow.org/install/pip) to
 set up your Python development environment and an (optional) virtual environment.
@@ -27,7 +27,7 @@ Upgrade `pip` and install TensorFlow
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">pip3 install --upgrade pip</code>
-  <code class="devsite-terminal">pip3 install tensorflow==2.11.0</code>
+  <code class="devsite-terminal">pip3 install tensorflow==2.15.0</code>
 </pre>
 <!-- common_typos_enable -->
 
@@ -57,13 +57,13 @@ The following steps are tested for Ubuntu-like systems.
 
 ### 1. Set up a Python 3 development environment
 
-First we need the Python 3.8 development tools.
+First we need the Python 3.10 development tools.
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">sudo apt update</code>
-  <code class="devsite-terminal">sudo apt-get install pkg-config zip g++ zlib1g-dev unzip python3.8</code>
-  <code class="devsite-terminal">sudo apt install python3.8 python3.8-dev python3.8-venv python3-pip</code>
-  <code class="devsite-terminal">python3.8 -m pip install --upgrade pip</code>
+  <code class="devsite-terminal">sudo apt-get install pkg-config zip g++ zlib1g-dev unzip python3.10</code>
+  <code class="devsite-terminal">sudo apt install python3.10 python3.10-dev python3.10-venv python3-pip</code>
+  <code class="devsite-terminal">python3.10 -m pip install --upgrade pip</code>
 </pre>
 <!-- common_typos_enable -->
 
@@ -72,7 +72,7 @@ First we need the Python 3.8 development tools.
 Go to your workspace directory and make a virtual environment for TFQ development.
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
-  <code class="devsite-terminal">python3.8 -m venv quantum_env</code>
+  <code class="devsite-terminal">python3.10 -m venv quantum_env</code>
   <code class="devsite-terminal">source quantum_env/bin/activate</code>
 </pre>
 <!-- common_typos_enable -->
@@ -84,21 +84,20 @@ As noted in the TensorFlow
 guide, the <a href="https://bazel.build/" class="external">Bazel</a>
 build system will be required.
 
-Our latest source builds use TensorFlow 2.11.0. To ensure compatibility we use `bazel` version 5.3.0. To remove any existing version of Bazel:
-
+Our latest source builds use TensorFlow 2.15.0. To ensure compatibility we use `bazel` version 6.5.0. To remove any existing version of Bazel:
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">sudo apt-get remove bazel</code>
 </pre>
 <!-- common_typos_enable -->
 
-Download and install `bazel` version 5.3.0:
+Download and install `bazel` version 6.5.0:
 
 <!-- common_typos_disable -->
 <pre class="devsite-click-to-copy">
-  <code class="devsite-terminal">wget https://github.com/bazelbuild/bazel/releases/download/5.3.0/bazel_5.3.0-linux-x86_64.deb
+  <code class="devsite-terminal">wget https://github.com/bazelbuild/bazel/releases/download/6.5.0/bazel_6.5.0-linux-x86_64.deb
 </code>
-  <code class="devsite-terminal">sudo dpkg -i bazel_5.3.0-linux-x86_64.deb</code>
+  <code class="devsite-terminal">sudo dpkg -i bazel_6.5.0-linux-x86_64.deb</code>
 </pre>
 <!-- common_typos_enable -->
 
@@ -122,7 +121,7 @@ Finally, confirm installation of the correct `bazel` version:
 ### 4. Build TensorFlow from source
 
 Here we adapt instructions from the TensorFlow [build from source](https://www.tensorflow.org/install/source)
-guide, see the link for further details. TensorFlow Quantum is compatible with TensorFlow version&nbsp;2.11.0.
+guide, see the link for further details. TensorFlow Quantum is compatible with TensorFlow version&nbsp;2.15.0.
 
 Download the
 <a href="https://github.com/tensorflow/tensorflow" class="external">TensorFlow source code</a>:
@@ -131,7 +130,7 @@ Download the
 <pre class="devsite-click-to-copy">
   <code class="devsite-terminal">git clone https://github.com/tensorflow/tensorflow.git</code>
   <code class="devsite-terminal">cd tensorflow</code>
-  <code class="devsite-terminal">git checkout v2.11.0</code>
+  <code class="devsite-terminal">git checkout v2.15.0</code>
 </pre>
 
 Be sure the virtual environment you created in step 2 is activated. Then, install the TensorFlow dependencies:
@@ -141,7 +140,7 @@ Be sure the virtual environment you created in step 2 is activated. Then, instal
   <code class="devsite-terminal">pip install -U pip six numpy wheel setuptools mock 'future>=0.17.1'</code>
   <code class="devsite-terminal">pip install -U keras_applications --no-deps</code>
   <code class="devsite-terminal">pip install -U keras_preprocessing --no-deps</code>
-  <code class="devsite-terminal">pip install numpy==1.24.2</code>
+  <code class="devsite-terminal">pip install numpy==1.23.5</code>
   <code class="devsite-terminal">pip install packaging requests</code>
 </pre>
 <!-- common_typos_enable -->

docs/tutorials/barren_plateaus.ipynb

@@ -97,7 +97,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install tensorflow==2.7.0"
+        "!pip install tensorflow==2.15.0"
       ]
     },
     {

docs/tutorials/gradients.ipynb

@@ -99,7 +99,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install tensorflow==2.7.0"
+        "!pip install tensorflow==2.15.0"
       ]
     },
     {

docs/tutorials/hello_many_worlds.ipynb

@@ -103,7 +103,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install tensorflow==2.7.0"
+        "!pip install tensorflow==2.15.0"
       ]
     },
     {
@@ -255,7 +255,7 @@
         "# Create a circuit on these qubits using the parameters you created above.\n",
         "circuit = cirq.Circuit(\n",
         "    cirq.rx(a).on(q0),\n",
-        "    cirq.ry(b).on(q1), cirq.CNOT(control=q0, target=q1))\n",
+        "    cirq.ry(b).on(q1), cirq.CNOT(q0, q1))\n",
         "\n",
         "SVGCircuit(circuit)"
       ]

docs/tutorials/mnist.ipynb

@@ -97,7 +97,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install tensorflow==2.7.0"
+        "!pip install tensorflow==2.15.0"
       ]
     },
     {

docs/tutorials/noise.ipynb

@@ -83,7 +83,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install tensorflow==2.7.0 tensorflow-quantum==0.7.2"
+        "!pip install tensorflow==2.15.0 tensorflow-quantum==0.7.2"
       ]
     },
     {

docs/tutorials/qcnn.ipynb

@@ -105,7 +105,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install tensorflow==2.7.0"
+        "!pip install tensorflow==2.15.0"
       ]
     },
     {
@@ -554,7 +554,7 @@
         "    source_basis_selector = one_qubit_unitary(source_qubit, symbols[3:6])\n",
         "    pool_circuit.append(sink_basis_selector)\n",
         "    pool_circuit.append(source_basis_selector)\n",
-        "    pool_circuit.append(cirq.CNOT(control=source_qubit, target=sink_qubit))\n",
+        "    pool_circuit.append(cirq.CNOT(source_qubit, sink_qubit))\n",
         "    pool_circuit.append(sink_basis_selector**-1)\n",
         "    return pool_circuit"
       ]

docs/tutorials/quantum_data.ipynb

@@ -111,7 +111,7 @@
     }
    ],
    "source": [
-    "!pip install tensorflow==2.7.0 tensorflow-quantum==0.7.2"
+    "!pip install tensorflow==2.15.0 tensorflow-quantum==0.7.2"
    ]
   },
   {

docs/tutorials/quantum_reinforcement_learning.ipynb

@@ -123,7 +123,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install tensorflow==2.7.0"
+    "!pip install tensorflow==2.15.0"
    ]
   },
   {

docs/tutorials/research_tools.ipynb

@@ -83,7 +83,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install tensorflow==2.7.0 tensorflow-quantum==0.7.2 tensorboard_plugin_profile==2.4.0"
+    "!pip install tensorflow==2.15.0 tensorflow-quantum==0.7.2 tensorboard_plugin_profile==2.4.0"
    ]
   },
     {
@@ -155,8 +155,8 @@
    "source": [
     "def generate_circuit(qubits):\n",
     "    \"\"\"Generate a random circuit on qubits.\"\"\"\n",
-    "    random_circuit = cirq.generate_boixo_2018_supremacy_circuits_v2(\n",
-    "        qubits, cz_depth=2, seed=1234)\n",
+    "    random_circuit = cirq.experiments.random_rotations_between_grid_interaction_layers_circuit(\n",
+    "        qubits, depth=2)\n",
     "    return random_circuit\n",
     "\n",
     "def generate_data(circuit, n_samples):\n",