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Results 1 - 3 of 3 for quantized_ (0.14 sec)

  1. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      // CHECK: return %[[RESULT]]
    }
    
    // Checks the `FuseAddAndFullyConnected` pattern is not applied if there is quantized type.
    // CHECK-LABEL: @FuseAddWithFullyConnectedWithQuantizedWeight
    func.func @FuseAddWithFullyConnectedWithQuantizedWeight(%arg: tensor<2x512xf32>) -> tensor<2x1024xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
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  2. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

      func.return %0 : tensor<4x1xf16>
    }
    
    // -----
    
    // CHECK-LABEL: func @max_qint
    // Regression test to ensure we don't crash getting the initial value for
    // tf.Max when using quantized integer types.
    func.func @max_qint(%arg0: tensor<4x8x!tf_type.qint8>) -> tensor<4x1x!tf_type.qint8> {
      %dimension = "tf.Const"() { value = dense<1> : tensor<1xi64> } : () -> tensor<1xi64>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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  3. tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc

          Region &region = mhlo_op.getBodyRegion(idx);
          rewriter.inlineRegionBefore(op.getBodyRegion(idx), region, region.end());
    
          // Update region's entry blocks argument types to handle quantized element
          // types.
          if constexpr (std::is_same<DstOpT, mhlo::WhileOp>::value) {
            TypeConverter::SignatureConversion signature(num_results);
            Block &block = region.front();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
    - 291.8K bytes
    - Viewed (0)
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