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README.md
[Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for [CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and Windows)*: ``` $ pip install tensorflow ``` Other devices (DirectX and MacOS-metal) are supported using
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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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.bazelrc
build:cuda_clang --config=tensorrt build:cuda_clang --action_env=TF_CUDA_CLANG="1" build:cuda_clang --@local_config_cuda//:cuda_compiler=clang # Select supported compute capabilities (supported graphics cards). # This is the same as the official TensorFlow builds. # See https://developer.nvidia.com/cuda-gpus#compute # `compute_XY` enables PTX embedding in addition to SASS. PTX
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tensorflow/BUILD
"@sobol_data//:__subpackages__", "@stablehlo//:__subpackages__", "@tf_runtime//:__subpackages__", "@bazel_tools//:__subpackages__", "@boringssl//:__subpackages__", "@com_github_cares_cares//:__subpackages__", "@com_github_googlecloudplatform_tensorflow_gcp_tools//:__subpackages__", "@com_github_grpc_grpc//:__subpackages__", "@com_google_absl//:__subpackages__",
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RELEASE.md
`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`. * New endpoints in tf.strings namespace: `tf.strings.join` (corresponds to
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// paths (although this has a security risk if two plugins register for the /// same filesystem and the malicious one loads before the legimitate one - /// but we consider this to be something that users should care about and /// manage themselves). In both of these cases, core TensorFlow looks for /// the `TF_InitPlugin` symbol and calls this function. /// /// For every filesystem URI scheme that this plugin supports, the plugin must
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