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  1. RELEASE.md

    Hoffmann, Tim Zaman, tomguluson92, Tongxuan Liu, Trent Lo, Trevor Morris,
    TungJerry, Tyorden, Uday Bondhugula, v1incent, Vagif, Vasileios Lioutas,
    vbvg2008, vcarpani, Vijay Ravichandran, Vikram Tiwari,Viktor Gal, Vishwak
    Srinivasan, Vincent, Vishnuvardhan Janapati, Vitor-Alves, Vivek Suryamurthy,
    wangsiyu, wateryzephyr, WeberXie, Wei Wang, WeijieSun, Wen-Heng (Jack) Chung,
    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)
  2. tensorflow/c/eager/gradients.cc

        absl::Span<AbstractTensorHandle*> result) const {
      if (gradient_function == nullptr) {
        return errors::InvalidArgument(
            "Provided null gradient_function for '", op_type, "'.\n",
            "If the intent is to treat this op as non-differentiable consider "
            "using RegisterNotDifferentiable or "
            "NotDifferentiableGradientFunction.");
      }
      return gradient_function->Compute(ctx_, output_gradients, result);
    }
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 19.3K bytes
    - Viewed (0)
  3. tensorflow/c/eager/gradients_test.cc

                          /*use_function=*/!std::get<2>(GetParam()));
      ASSERT_EQ(error::INVALID_ARGUMENT, s.code());
      ASSERT_EQ(
          "Provided null gradient_function for 'Neg'.\nIf the intent is to treat "
          "this op as non-differentiable consider using RegisterNotDifferentiable "
          "or NotDifferentiableGradientFunction.",
          s.message());
      ASSERT_EQ(nullptr, outputs[0]);
    }
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 7K bytes
    - Viewed (0)
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