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WORKSPACE
requirements = "//:requirements_lock_" + TF_PYTHON_VERSION.replace(".", "_") + ".txt", ) load("@pypi//:requirements.bzl", "install_deps") install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Apr 05 22:27:48 GMT 2024 - 3K bytes - Viewed (2) -
tensorflow/BUILD
selects.config_setting_group( name = "is_cuda_enabled_and_oss", match_all = [ ":is_cuda_enabled", ":oss", ], ) # Config setting that is satisfied when building with --config=cuda for Windows selects.config_setting_group( name = "is_cuda_enabled_and_windows", match_all = [ ":is_cuda_enabled", ":windows", ], )
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
RELEASE.md
`image_summary`, `merge_summary`, and `merge_all_summaries`. * Combined `batch_*` and regular version of linear algebra and FFT ops. The regular op now handles batches as well. All `batch_*` Python interfaces were removed. * `tf.all_variables`, `tf.VARIABLES` and `tf.initialize_all_variables` renamed to `tf.global_variables`, `tf.GLOBAL_VARIABLES` and
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.bazelrc
# elinux: General Embedded Linux options shared by all flavors. # elinux_aarch64: Embedded Linux options for aarch64 (ARM64) CPU support. # elinux_armhf: Embedded Linux options for armhf (ARMv7) CPU support. # # Release build options (for all operating systems) # release_base: Common options for all builds on all operating systems.
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configure.py
'from distutils.sysconfig import get_python_lib;' 'print(get_python_lib())' ]) ] all_paths = set(python_paths + library_paths) # Sort set so order is deterministic all_paths = sorted(all_paths) paths = [] for path in all_paths: if os.path.isdir(path): paths.append(path) return paths def get_python_major_version(python_bin_path):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/eager/tape.h
// have all gradients available. This set usually is a subset of the set of // targets (not all since targets which have outputs in the tape will not have // gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update // the gradients of its inputs. Once we have computed all gradients for a single
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tensorflow/c/c_api.cc
/* Copyright 2015 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
std::vector<Tensor> all_input_tensors; // Update the vector with information from `input_tensors` if provided. if (input_tensors != nullptr) { // Note that we take the address of the elements in `all_input_tensors` // below. Allocate enough space so that no reallocation happens, which will // make the pointers invalid. all_input_tensors.reserve(num_inputs);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
ci/official/envs/linux_x86_tpu
# Copyright 2023 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/eager/c_api_experimental.cc
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
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