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Results 1 - 8 of 8 for 2022 (0.08 sec)

  1. tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_mlrt_ops.td

    /* Copyright 2021 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,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 31 20:44:15 UTC 2024
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  2. tensorflow/compiler/mlir/lite/python/_pywrap_converter_api.pyi

    # 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,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 31 18:18:30 UTC 2024
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  3. .bazelrc

    # Enable the runfiles symlink tree on Windows. This makes it possible to build
    # the pip package on Windows without an intermediate data-file archive, as the
    # build_pip_package script in its current form (as of Aug 2023) uses the
    # runfiles symlink tree to decide what to put into the Python wheel.
    startup --windows_enable_symlinks
    build:windows --enable_runfiles
    
    # Default paths for TF_SYSTEM_LIBS
    build:linux --define=PREFIX=/usr
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 17:12:54 UTC 2024
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  4. tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td

    /* Copyright 2020 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,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:18:05 UTC 2024
    - 99.6K bytes
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  5. RELEASE.md

    ### Breaking Changes
    
    *  Removed the Keras scikit-learn API wrappers (`KerasClassifier` and `KerasRegressor`), which had been deprecated in August 2021. We recommend using [SciKeras](https://github.com/adriangb/scikeras) instead.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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  6. tensorflow/compiler/mlir/tensorflow/transforms/tf_data_optimization.td

    /* Copyright 2020 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,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 1.7K bytes
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  7. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

               TFL_OperandHasRank<19, 2>,  // bw_input_to_forget_weights
               TFL_OperandHasRank<20, 2>,  // bw_input_to_cell_weights
               TFL_OperandHasRank<21, 2>,  // bw_input_to_output_weights
               TFL_OperandHasRank<22, 2>,  // bw_recurrent_to_input_weights
               TFL_OperandHasRank<23, 2>,  // bw_recurrent_to_forget_weights
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
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  8. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

        output = input / (bias + alpha * sqr_sum) ** beta
    
    For details, see [Krizhevsky et al., ImageNet classification with deep
    convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks).
      }];
    
      let arguments = (ins
        Arg<TensorOf<[TF_Bfloat16, TF_Float16, TF_Float32]>, [{4-D.}]>:$input,
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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