and:
        NativeBinaryRules.assignTools(binary, toolChains, tmpDir.testDirectory)

        then:
        executableFile.file == tmpDir.testDirectory.file("exe/comp_name/exe_name")
        installation.directory == tmpDir.testDirectory.file("install/comp_name")
    }

    def "test shared library"() {
        def binary = initBinary(SharedLibraryBinarySpecInternal, NativeLibrarySpec)

        when:

    string file_name;
    string func_name;
    string node_name;
    OP_REQUIRES_OK(ctx, ctx->GetAttr("log_dir_path", &log_dir_path));
    OP_REQUIRES_OK(ctx, ctx->GetAttr("enabled", &enabled_));
    OP_REQUIRES_OK(ctx, ctx->GetAttr("file_name", &file_name));
    OP_REQUIRES_OK(ctx, ctx->GetAttr("func_name", &func_name));
    OP_REQUIRES_OK(ctx, ctx->GetAttr("node_name", &node_name));

# Text form of tensorflow.tf2xla.Config proto.
fetch {
  id { node_name: "result" }
}

variable {
  node_name: "x"
  type: DT_FLOAT
}

variable {
  node_name: "y"
  type: DT_FLOAT
  readonly: true

    "tf.DumpTensor"(%4) {device = "", enabled = true, file_name = "quantized_tensor_data.pb", func_name = "conv_with_dump", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_1", node_name = "Conv2D_1"} : (tensor<*xf32>) -> ()

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_reshape" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 2 }
    dim { size: 3 }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 3 }
    dim { size: 2 }
  }
}
fetch {
  id { node_name: "x_y_prod" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
}
feed {
  id { node_name: "y" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
}
fetch {
  id { node_name: "result" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x" }
  shape {
    dim { size: 2 }
  }
}
feed {
  id { node_name: "y" }
  shape {
    dim { size: 3 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_diff" }