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Results 1 - 3 of 3 for AccumulatorApplyGradient (0.24 sec)

  1. tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.cc.golden

      Status status = op_ptr->Execute(temp_outputs, &num_retvals);
      *loss = temp_outputs[0];
      *backprop = temp_outputs[1];
      return status;
    }
    
    // Op: AccumulatorApplyGradient()
    // Summary:
    //
    // Description:
    Status AccumulatorApplyGradient(AbstractContext* ctx, AbstractTensorHandle** handle, AbstractTensorHandle* const local_step, AbstractTensorHandle* const gradient, const char* name, const char* raw_device_name) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Nov 16 19:04:03 UTC 2023
    - 6.5K bytes
    - Viewed (0)
  2. tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.h.golden

    //
    Status AccumulatorApplyGradient(AbstractContext* ctx, AbstractTensorHandle** handle, AbstractTensorHandle* const local_step, AbstractTensorHandle* const gradient, const char* name = nullptr, const char* raw_device_name = nullptr);
    
    //
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Nov 16 19:04:03 UTC 2023
    - 2.9K bytes
    - Viewed (0)
  3. tensorflow/c/experimental/ops/gen/cpp/cpp_generator_test.cc

          "Neg",        // Simple unary Op
          "MatMul",     // 2 inputs & attrs with default values
          "IdentityN",  // Variadic input+output
          "SparseSoftmaxCrossEntropyWithLogits",  // 2 outputs
          "AccumulatorApplyGradient",             // 0 outputs
          "VarHandleOp",                          // type, shape, list(string) attrs
          "RestoreV2",  // Variadic output-only, list(type) attr
      };
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 18 17:02:28 UTC 2022
    - 2.9K bytes
    - Viewed (0)
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