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Results 1 - 3 of 3 for negative (0.21 sec)

  1. tensorflow/c/c_api_experimental.cc

      TF_ShapeAndType& shape = shape_list->items[index];
      DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
      DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
      shape.num_dims = num_dims;
      shape.dims = new int64_t[num_dims];
      memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);
    }
    
    void TF_ShapeAndTypeListSetUnknownShape(TF_ShapeAndTypeList* shape_list,
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 29.4K bytes
    - Viewed (0)
  2. tensorflow/c/eager/gradient_checker.cc

      vector<float> thetaPlus_data(num_elems);
      vector<float> thetaMinus_data(num_elems);
      AbstractTensorHandle* f_outputs[1];
    
      // Numerical Grad Check
      for (int i = 0; i < num_elems; i++) {
        // Get relative epsilon value
        float epsilon = theta_data[i] == 0 ? 1e-4 : std::abs(theta_data[i] * 1e-4);
        AbstractTensorHandlePtr two_eps;
        {
          AbstractTensorHandle* two_eps_raw = nullptr;
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 7.3K bytes
    - Viewed (0)
  3. tensorflow/c/experimental/gradients/math_grad.cc

         *    dA =  U
         *    dB = -U
         *
         */
    
        // Grad for A
        DCHECK(grad_outputs[0]);
        grad_inputs[0] = grad_outputs[0];
        grad_inputs[0]->Ref();
    
        // Grad for B
        // negate the upstream grad
        std::string name = "Neg_Sub_Grad_B";
        TF_RETURN_IF_ERROR(
            ops::Neg(ctx, grad_outputs[0], &grad_inputs[1], name.c_str()));
    
        return absl::OkStatus();
      }
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Wed Feb 28 13:53:47 GMT 2024
    - 15.2K bytes
    - Viewed (0)
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