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Results 1 - 2 of 2 for internal_func_name (0.35 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_xla_weight_only.mlir

      parameters[
        {"quantized_ops": ["MatMul"], "internal_func_name": "internal_matmul_fn"},
        {"quantized_ops": ["Conv2D"], "internal_func_name": "internal_conv2d_fn"},
        {"quantized_ops": ["DepthwiseConv2D"], "internal_func_name": "internal_depthwise_conv2d_fn"},
        {"quantized_ops": ["Conv3D"], "internal_func_name": "internal_conv3d_fn"},
        {"quantized_ops": ["BatchMatMul"], "internal_func_name": "internal_batch_matmul_fn"}
      ]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 03 15:43:38 UTC 2023
    - 7K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_tf_drq.mlir

        func.return %6 : tensor<*xi32>
      }
      
      parameters[
        {"quantized_ops": ["MatMul"], "internal_func_name": "internal_matmul_fn"},
        {"quantized_ops": ["Conv2D"], "internal_func_name": "internal_conv2d_fn"},
        {"quantized_ops": ["DepthwiseConv2D"], "internal_func_name": "internal_depthwise_conv2d_fn"}
      ]
      func.func @GenerateQuantizedFunctionName(${quantized_ops})(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 03 15:43:38 UTC 2023
    - 12.2K bytes
    - Viewed (0)
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