tensorflow/core/kernels/ragged_tensor_to_tensor_op_test.cc
// test_three_dimensional_ragged fails, want to try it at a lower level.
test_three_dimensional_ragged fails, want to try it at a lower level.
test_three_dimensional_ragged fails want to try it at a lower level .
TEST_F(RaggedTensorToTensorOpTest, RaggedTensorToTensor_3DParamsRowSplits2) {
  BuildRaggedTensorToTensorGraph<int64_t, int64_t>(
      TensorShape({3, 2, 3}),               
      {"ROW_SPLITS", "ROW_SPLITS"},         
      createVector<int64_t>({0, 1, 2, 3}),  
      createScalar<int64_t>(5),             
      {
          createVector<int64_t>({0, 2, 2, 3}),
          createVector<int64_t>({0, 3, 3, 4}),
      }  
  );
  TF_ASSERT_OK(RunOpKernel());
  test::ExpectTensorEqual<int64_t>(
      *GetOutput(0), test::AsTensor<int64_t>(
                         {0, 1, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 3, 5, 5, 5, 5, 5},
                         TensorShape({3, 2, 3})));
}
TEST_F ( RaggedTensorToTensorOpTest , RaggedTensorToTensor_3DParamsRowSplits2 ) { BuildRaggedTensorToTensorGraph < int64_t , int64_t > ( TensorShape ( { 3 , 2 , 3 } ) , { " " , " " } , createVector < int64_t > ( { 0 , 1 , 2 , 3 } ) , createScalar < int64_t > ( 5 ) , { createVector < int64_t > ( { 0 , 2 , 2 , 3 } ) , createVector < int64_t > ( { 0 , 3 , 3 , 4 } ) , } ) ; TF_ASSERT_OK ( RunOpKernel ( ) ) ; test :: ExpectTensorEqual < int64_t > ( * GetOutput ( 0 ) , test :: AsTensor < int64_t > ( { 0 , 1 , 2 , 5 , 5 , 5 , 5 , 5 , 5 , 5 , 5 , 5 , 3 , 5 , 5 , 5 , 5 , 5 } , TensorShape ( { 3 , 2 , 3 } ) ) ) ; }
test_three_dimensional_ragged fails, want to try it at a lower level.
test_three_dimensional_ragged fails want to try it at a lower level .
// params = [ //           [[0, 1, 2], []], //           [], //           [[3]] //          ] // shape // row_partition_types // values // default_value // row_partition_tensors // Expected = [ //              [[0, 1, 2], [5, 5, 5]], //              [[5, 5, 5], [5, 5, 5]], //              [[3, 5, 5], [5, 5, 5]] //            ]