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Results 1 - 2 of 2 for fusedBatchNormV3 (0.14 sec)

  2. github.com/tensorflow/tensorflow

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

          self.assertTrue(self._contains_op(output_graphdef, 'XlaCallModule'))
    else:
      self.assertTrue(self._contains_quantized_function_call(output_graphdef))
    self.assertFalse(self._contains_op(output_graphdef, 'FusedBatchNormV3'))

  @parameterized.named_parameters(
      ('to_tf_with_int32_input_type', dtypes.int32, quant_opts_pb2.TF),
      ('to_xla_with_int32_input_type', dtypes.int32, quant_opts_pb2.XLA),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 03:36:50 UTC 2024
    - 235.6K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir 

    func.func @testFusedBatchNormToBatchNormV3(%arg0: tensor<8x8x8x8xf32>, %arg1: tensor<8xf32>, %arg2: tensor<8xf32>, %arg3: tensor<8xf32>, %arg4: tensor<8xf32>) -> (tensor<8x8x8x8xf32>) {
  // CHECK: "tf.FusedBatchNormV3"
  // CHECK-SAME: device = "/job:localhost/replica:0/task:0/device:GPU:0"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 22:07:10 UTC 2024
    - 132.1K bytes
    - Viewed (0)
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