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Results 1 - 3 of 3 for patent (0.14 sec)

  1. tensorflow/c/c_api.cc

      TF_Graph* parent = params->cond_graph->parent;
      TF_Output* parent_inputs = params->cond_graph->parent_inputs;
      int num_loop_vars = params->ninputs;
    
      mutex_lock l(parent->mu);
    
      // 'cond_fn' copies the cond graph into the parent graph.
      tensorflow::ops::CondGraphBuilderFn cond_fn =
          [params, parent](const tensorflow::Scope& scope,
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 102.3K bytes
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  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
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  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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