UniformRequantize - Code Search

tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc

    quantization_axis = -1 : i64,
    quantization_min_val = -128 : i64,
    quantization_max_val = 127 : i64
  } : (tensor<10xf32>, tensor<f32>, tensor<i32>) -> tensor<10x!tf_type.qint8>
  %1 = "tf.UniformDequantize"(%0, %scale, %zp) {
    quantization_axis = -1 : i64,
    quantization_min_val = -128 : i64,
    quantization_max_val = 127 : i64
  } : (tensor<10x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<10xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Wed Apr 03 01:03:21 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir

  // %[[RESULT0:.*]] = mhlo.uniform_dequantize %[[WHILE_RESULT]]#0
  %3 = "tf.UniformDequantize"(%2#0, %scales, %zps2) {quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64} : (tensor<2x?x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<2x?xf32>

  // %[[RESULT1:.*]] = mhlo.uniform_dequantize %[[WHILE_RESULT]]#0

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Thu May 09 01:25:29 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/jit/mark_for_compilation_pass.cc

      "ToBool",
      "TridiagonalSolve",
      "TridiagonalMatMul",
      "TruncatedNormal",
      "UniformDequantize",
      "UniformQuantize",
      "UniformQuantizedAdd",
      "UniformQuantizedClipByValue",
      "UniformQuantizedConvolution",
      "UniformQuantizedDot",
      "UniformRequantize",
      "Unique",
      "UniqueV2",
      "UpperBound",
      "UnsortedSegmentMax",

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- Last Modified: Wed Feb 21 12:19:41 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow/tests/shape_inference_with_shape_specialization.mlir

    // CHECK-NEXT: %[[UDQ:.*]] = "tf.UniformDequantize"(%[[UQ]], %[[CST_0]], %[[CST_1]]) <{quantization_axis = -1 : i64, quantization_max_val = 127 : i64, quantization_min_val = -128 : i64}> : (tensor<1x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<1xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Wed Apr 24 12:49:45 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow_to_stablehlo/tests/test_tf_to_stablehlo.mlir

        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<?xf32>, tensor<f32>, tensor<i32>) -> tensor<?x!tf_type.qint8>
      %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<?x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<?xf32>

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- Last Modified: Tue May 21 22:58:42 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/legalize_tf_quant_test.cc

        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<1xf32>, tensor<f32>, tensor<i32>) -> tensor<1x!tf_type.qint8>
      %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<1x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> tensor<1xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Thu Feb 29 18:43:55 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert_tf_quant_ops_to_mhlo.mlir

        tensor<3x2x!tf_type.qint32>, tensor<2x!tf_type.qint32>,
        tensor<f32>, tensor<i32>,
        tensor<f32>, tensor<i32>,
        tensor<f32>, tensor<i32>) -> tensor<3x2x!tf_type.qint32>
  %2 = "tf.UniformDequantize"(%1, %output_scales, %output_zps) {
    quantization_axis = -1 : i64, quantization_min_val = -2147483648 : i64, quantization_max_val = 2147483647 : i64
  } : (tensor<3x2x!tf_type.qint32>, tensor<f32>, tensor<i32>) -> tensor<3x2xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Sat Apr 06 15:32:52 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

  TF_DerivedResultShapeListAttr output_shapes = TF_DerivedResultShapeListAttr<0>;
  TF_DerivedResultTypeListAttr output_types = TF_DerivedResultTypeListAttr<0>;
}

def TF_UniformDequantizeOp : TF_Op<"UniformDequantize", [Pure]> {
  let summary = "Perform dequantization on the quantized Tensor `input`.";

  let description = [{

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- Last Modified: Tue Jun 11 23:24:08 UTC 2024

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