zirain <******@****.***> 1703405786 +0800

Jacek Ewertowski <******@****.***> 1701261434 +0100

type ActionID [HashSize]byte

// An OutputID is a cache output key, the hash of an output of a computation.
type OutputID [HashSize]byte

// Cache is the interface as used by the cmd/go.
type Cache interface {
	// Get returns the cache entry for the provided ActionID.
	// On miss, the error type should be of type *entryNotFoundError.
	//
	// After a success call to Get, OutputFile(Entry.OutputID) must

        setup:
        sampleBuildWithTest()

        when:
        String output1 = runTaskAndTestClassUsing(firstDebug)
        String output2 = runTaskAndTestClassUsing(secondDebug)

        then:
        assertTestDebugMode(output1, firstDebug)
        assertTestDebugMode(output2, secondDebug)

        where:
        scenarioName                     | firstDebug | secondDebug

                }
                outputs.files files(fileList) withPropertyName("out")
                def output1 = project.file("build/output1.txt")
                def output2 = project.file("build/output2.txt")
                doLast {
                    output1.parentFile.mkdirs()
                    output1 << "data"
                    if (!System.getProperty("changedCardinality")) {

      type: DT_FLOAT
    }
  }
}
node {
  name: "output_0"
  op: "Identity"
  input: "conv_net_2d_1/Relu"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
}
library {
}

# CHECK: 'main' inputs:
# CHECK-NEXT: name: 'input'
# CHECK-NEXT: 'main' outputs:

  params_->body_outputs[1] = params_->body_inputs[1];

  // Finalize while loop
  ExpectOK();

  // Validate while loop outputs returned by TF_FinishWhile()
  EXPECT_TRUE(outputs_[0].oper != nullptr);
  EXPECT_GE(outputs_[0].index, 0);
  EXPECT_TRUE(outputs_[1].oper != nullptr);
  EXPECT_GE(outputs_[1].index, 0);

  // Check that cond and body inputs are not present
  for (int i = 0; i < params_->ninputs; ++i) {

  }

  func.func @mul1(%arg0: tensor<1xf32> {tf_saved_model.index_path = ["y"]}, %arg1: tensor<1xf32> {tf_saved_model.index_path = ["x"]}) -> (tensor<1xf32> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {inputs = "mul1_y:0,mul1_x:0", outputs = "output:0"}, tf_saved_model.exported_names = ["mul1"]} {
    %0 = "tf.Mul"(%arg1, %arg0) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
    func.return %0 : tensor<1xf32>
  }

		panic("FAIL")
	}
}

func dummyID(x int) [Size]interface{} {
	var out [Size]interface{}
	out[0] = x
	return out
}

const Size = 32

type OutputID [Size]interface{}

//go:noinline
func Get() OutputID {
	return dummyID(1234)

      [](const Scope& s, const std::vector<Output>& inputs, Output* output) {
        *output = ops::Less(s, inputs[0], 10);
        return s.status();
      },
      [](const Scope& s, const std::vector<Output>& inputs,
         std::vector<Output>* outputs) {
        outputs->push_back(ops::AddN(s, {inputs[0], inputs[1]}));
        outputs->push_back(ops::AddN(s, {inputs[1], 1}));
        outputs->push_back(inputs[2]);