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Results 1 - 6 of 6 for mine (0.17 sec)

  1. tensorflow/c/c_api_test.cc

        ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
        for (int64_t i = 0; i < src.NumElements(); ++i) {
          ASSERT_EQ(data[i], output.flat<tstring>()(i)) << line;
        }
    
        TF_DeleteTensor(dst);
      }
    }
    
    TEST(CAPI, TensorEncodeDecodeStrings) {
      TestEncodeDecode(__LINE__, {});
      TestEncodeDecode(__LINE__, {"hello"});
      TestEncodeDecode(__LINE__,
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 96.9K bytes
    - Viewed (3)
  2. tensorflow/api_template.__init__.py

    import distutils as _distutils
    import importlib
    import inspect as _inspect
    import os as _os
    import site as _site
    import sys as _sys
    
    # Do not remove this line; See https://github.com/tensorflow/tensorflow/issues/42596
    from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
    from tensorflow.python.tools import module_util as _module_util
    Python
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Mar 05 06:27:59 GMT 2024
    - 6.7K bytes
    - Viewed (3)
  3. RELEASE.md

            `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`.
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
    - 727.7K bytes
    - Viewed (8)
  4. configure.py

            'details.')
      config_info_line('mkl', 'Build with MKL support.')
      config_info_line(
          'mkl_aarch64',
          'Build with oneDNN and Compute Library for the Arm Architecture (ACL).')
      config_info_line('monolithic', 'Config for mostly static monolithic build.')
      config_info_line('numa', 'Build with NUMA support.')
      config_info_line(
          'dynamic_kernels',
    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)
  5. .github/workflows/update-rbe.yml

              # the end of the line.
              # See https://cloud.google.com/architecture/using-container-images#exploring_image_manifests_digests_and_tags
              echo -n "Trying to map name $1 to tag $2... "
              digest=$(curl -s --head "https://gcr.io/v2/tensorflow-sigs/build/manifests/$2" | egrep -o "sha256:[[:alnum:]]*")
              # Find the line matching the regex "sigbuild-r2.9" (with quotes) and
    Others
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Wed Apr 10 15:40:34 GMT 2024
    - 7.2K bytes
    - Viewed (0)
  6. .bazelrc

    # Default build options. These are applied first and unconditionally.
    
    # For projects which use TensorFlow as part of a Bazel build process, putting
    # nothing in a bazelrc will default to a monolithic build. The following line
    # opts in to modular op registration support by default.
    build --define framework_shared_object=true
    build --define tsl_protobuf_header_only=true
    
    build --define=use_fast_cpp_protos=true
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu May 02 19:34:20 GMT 2024
    - 52.8K bytes
    - Viewed (2)
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