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Results 1 - 5 of 5 for assertAllEqual (0.23 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/calibrator/integration_test/custom_aggregator_op_test.py

              input_tensor,
              id='1',
              calibration_method=_CalibrationMethod.CALIBRATION_METHOD_MIN_MAX,
          )
          aggregator_output = self.evaluate(aggregator)
          self.assertAllEqual(aggregator_output.output, [1.0, 2.0, 3.0, 4.0, 5.0])
          self.assertEqual(aggregator_output.min, 1.0)
          self.assertEqual(aggregator_output.max, 5.0)
          self.assertEmpty(aggregator_output.histogram)
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 5.6K bytes
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  2. tensorflow/compiler/mlir/tfr/integration/graph_decompose_test.py

        t3 = constant_op.constant([[1.0, 2.0], [3.0, 4.0]])
        sq1 = add([t1])
        sq2 = add([t1, t2])
        sq3 = add([t1, t2, t3])
        self.assertAllEqual(sq1.numpy().reshape(-1), [1, 2, 3, 4])
        self.assertAllEqual(sq2.numpy().reshape(-1), [2, 4, 6, 8])
        self.assertAllEqual(sq3.numpy().reshape(-1), [3, 6, 9, 12])
    
      def testBiasedDense(self):
        biased_dense = def_function.function(gen_composite_ops.my_biased_dense)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Sep 28 21:37:05 UTC 2021
    - 3.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tfr/integration/node_expansion_test.py

        sq1 = gen_composite_ops.my_add_n([t1])
        sq2 = gen_composite_ops.my_add_n([t1, t2])
        sq3 = gen_composite_ops.my_add_n([t1, t2, t3])
        self.assertAllEqual(sq1.numpy().reshape(-1), [1, 2, 3, 4])
        self.assertAllEqual(sq2.numpy().reshape(-1), [2, 4, 6, 8])
        self.assertAllEqual(sq3.numpy().reshape(-1), [3, 6, 9, 12])
    
      def testBiasedDense(self):
        t1 = constant_op.constant([[1.0, 2.0], [3.0, 4.0]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Sep 28 21:37:05 UTC 2021
    - 3.9K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm_test.py

        statistics.min_max_statistics.global_min = 1.0
        statistics.min_max_statistics.global_max = 5.0
    
        min_value, max_value = calibration_algorithm.get_min_max_value(
            statistics, calib_opts
        )
        self.assertAllEqual((min_value, max_value), (1.0, 5.0))
    
      def test_average_min_max(self):
        calib_opts = stablehlo_quant_config_pb2.CalibrationOptions(
            calibration_method=_CalibrationMethod.CALIBRATION_METHOD_AVERAGE_MIN_MAX
        )
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 11 19:29:56 UTC 2024
    - 5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py

        feed_dict = repr_dataset.create_feed_dict_from_input_data(
            sample, signature_def
        )
    
        self.assertLen(feed_dict, 1)
        self.assertIn('input:0', feed_dict)
        self.assertAllEqual(feed_dict['input:0'], input_tensor_value)
    
      @test_util.deprecated_graph_mode_only
      def test_create_feed_dict_from_input_data_core_tensors(self):
        signature_def = meta_graph_pb2.SignatureDef(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jan 04 07:35:19 UTC 2024
    - 11.6K bytes
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