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Results 1 - 2 of 2 for MulModel (0.16 sec)

  1. tensorflow/c/eager/gradient_checker_test.cc

      return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                         /*transpose_a=*/false,
                         /*transpose_b=*/false, "MatMul");
    }
    
    Status MulModel(AbstractContext* ctx,
                    absl::Span<AbstractTensorHandle* const> inputs,
                    absl::Span<AbstractTensorHandle*> outputs) {
      return ops::Mul(ctx, inputs[0], inputs[1], &outputs[0], "Mul");
    }
    
    C++
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Fri Apr 14 10:03:59 GMT 2023
    - 6.5K bytes
    - Viewed (0)
  2. tensorflow/c/experimental/gradients/math_grad_test.cc

      }
    
      status_ = registry_.Register("Mul", MulRegisterer);
      ASSERT_EQ(errors::OK, status_.code()) << status_.message();
    
      ASSERT_NO_FATAL_FAILURE(CompareNumericalAndAutodiffGradients(
          MulModel, BuildGradModel(MulModel, registry_),
          immediate_execution_ctx_.get(), {x.get(), y.get()}, UseFunction()));
    }
    
    TEST_P(CppGradients, TestLog1pGrad) {
      AbstractTensorHandlePtr x;
      {
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Thu Apr 13 17:32:14 GMT 2023
    - 16.3K bytes
    - Viewed (0)
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