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tensorflow/c/eager/unified_api_testutil.h
Status CreateParamsForInputs(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, std::vector<AbstractTensorHandle*>* params); // A callable that takes tensor inputs and returns zero or more tensor outputs. using Model = std::function<Status(AbstractContext*, absl::Span<AbstractTensorHandle* const>,
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# installed into a virtual environment, and then that venv is used to run all # bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/...,
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tensorflow/c/c_api_test.cc
opts = TF_NewImportGraphDefOptions(); TF_ImportGraphDefOptionsSetPrefix(opts, "imported"); TF_ImportGraphDefOptionsAddInputMapping(opts, "scalar", 0, {scalar, 0}); TF_ImportGraphDefOptionsAddInputMapping(opts, "fake", 0, {scalar, 0}); tensorflow::GraphDef graph_def_proto; ASSERT_TRUE(tensorflow::ParseProtoUnlimited(&graph_def_proto, graph_def->data, graph_def->length));
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ci/official/README.md
1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below 3. **Google employees only**: Google employees can use an internal-only tool called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash
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ci/official/requirements_updater/README.md
``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed requirements file for each version, with hashes specified for each dependency required, as well as their sub-dependencies. ### How to update/add requirements
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tensorflow/c/eager/c_api_experimental.h
TF_Status*); // Creates a new TensorHandle from memory residing in the physical device // device_name. Takes ownership of the memory, and will call deleter to release // it after TF no longer needs it or in case of error. // // Custom devices must use TFE_NewCustomDeviceTensorHandle instead.
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RELEASE.md
`tf.quantization.dequantize`, `tf.quantization.fake_quant_with_min_max_args`, `tf.quantization.fake_quant_with_min_max_args_gradient`, `tf.quantization.fake_quant_with_min_max_vars`, `tf.quantization.fake_quant_with_min_max_vars_gradient`, `tf.quantization.fake_quant_with_min_max_vars_per_channel`, `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient`.
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # This condition takes precedence over :linux_x86_64 config_setting( name = "linux_x86_64_no_sse", values = { "cpu": "k8", "copt": "-mno-sse4.2", }, visibility = ["//visibility:public"], ) # This condition takes precedence over :linux_x86_64 # TODO(b/290533709): Remove this with PJRT build rule cleanup.
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tensorflow/c/experimental/gradients/array_grad.cc
for (int i = 0; i < grad_outputs.size(); i++) { auto grad_input = grad_outputs[i]; // TODO(srbs): Should we add a copy contructor to AbstractTensorHandle // that takes care of this similar to `Tensor`? if (grad_input) { grad_input->Ref(); } grad_inputs[i] = grad_input; } return absl::OkStatus(); } ~IdentityNGradientFunction() override {}
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ci/devinfra/docker_windows/Dockerfile
FROM mcr.microsoft.com/dotnet/framework/sdk:4.8-windowsservercore-ltsc2019 # Set default powershell policy for this script (ProgressPreference='SilentlyContinue' makes # downloads with Invoke-WebRequest not show the progress bar and is MUCH faster). SHELL ["powershell.exe", "-ExecutionPolicy", "Bypass", "-Command", "$ErrorActionPreference='Stop'; $ProgressPreference='SilentlyContinue'; $VerbosePreference = 'Continue';"]
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