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Results 1 - 2 of 2 for input_quantized_types (0.31 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir

    // -----
    
    // Tests that basic convolution is properly quantized. It is per-channel
    // quantized unless `enable-per-channel-quantized-weight=false`, according to
    // `_quantization_method` with an `input_quantized_types` and explicit
    // `dimension_specs`.
    
    module attributes {tf_saved_model.semantics} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
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  2. tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py

            expected_message_maybe_ascii=r"""
            results {
              quantizable_unit { name: "composite_conv_fn_1" }
              method {
                weight_only_ptq {
                  input_quantized_types {
                    key: 1
                    value { dimension_specs {} }
                  }
                }
              }
            }
            """,
            message=results,
        )
    
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 06:31:57 UTC 2024
    - 51.4K bytes
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