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Results 1 - 1 of 1 for IfModel (0.17 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py

        self.assertFalse(self._contains_quantized_function_call(output_graphdef))
    
      @test_util.run_in_graph_and_eager_modes
      def test_model_ptq_with_uncalibrated_subgraph(self):
        class IfModel(module.Module):
          """A model that contains a branching op."""
    
          def __init__(self):
            self.filters_0 = np.random.uniform(
                low=-1.0, high=1.0, size=(4, 3)
            ).astype('f4')
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 03:36:50 UTC 2024
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