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Results 1 - 10 of 39 for tf_quant__ (0.36 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/passes/constants.h 

    #include "llvm/ADT/StringRef.h"
#include "mlir/Support/LLVM.h"  // from @llvm-project

namespace mlir {
namespace quant {

// Name of the save function. The "tf_quant__" prefix is for avoiding conflict
// with existing function's name.
inline constexpr StringRef kTfQuantSaveFuncName = "tf_quant__save";

// Name of the TensorFlow Operation to be fetched to save the variables to
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Feb 13 02:55:06 UTC 2023
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions.mlir 

    // CHECK-SAME: tf_quant.quantized_ops = ["DepthwiseConv2D", "BiasAdd", "Relu"]
// CHECK: func private @quantized_matmul_with_bias_fn
// CHECK: func private @quantized_matmul_with_bias_and_relu_fn
// CHECK: func private @quantized_matmul_with_bias_and_relu6_fn
// CHECK: func private @quantized_matmul_fn
// CHECK-SAME: tf_quant.quantized_ops = ["MatMul"]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Aug 29 01:13:58 UTC 2023
    - 3.3K bytes
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions_drq.mlir 

    // CHECK-NOT: func private @internal_matmul_fn
// CHECK: func private @quantized_matmul_fn
// CHECK-SAME: tf_quant.quantized_ops = ["MatMul"]
// CHECK: func private @quantized_conv2d_fn
// CHECK-SAME: tf_quant.quantized_ops = ["Conv2D"]
// CHECK: func private @quantized_depthwise_conv2d_fn
// CHECK-SAME: tf_quant.quantized_ops = ["DepthwiseConv2D"]

// UQ-CHECK: func private @quantized_conv2d_fn
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Dec 01 12:06:54 UTC 2022
    - 1K bytes
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  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_weight_only.mlir 

        func.return %1: tensor<*xf32>
  }
  func.func private @composite_matmul_fn_1(%arg0: tensor<2x12xf32>, %arg1: tensor<12x2xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} {
    %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_b", device = "", transpose_a = false, transpose_b = false} : (tensor<2x12xf32>, tensor<12x2xf32>) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 11.3K bytes
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  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized_drq.mlir 

                             %input : tensor<*xf32>, %weight : tensor<*x!tf_type.qint8>,
                         %weight_scale : tensor<*xf32>, %weight_zp : tensor<*xi32>) -> tensor<*xf32>
      attributes {tf_quant.quantized_ops = ["Conv2D"]} {

    %out = "tf.UniformQuantizedConvolutionHybrid"(%input, %weight,
                           %weight_scale, %weight_zp) {
        Tlhs = "tfdtype$DT_FLOAT",
        Trhs = "tfdtype$DT_QINT8",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Dec 01 12:06:54 UTC 2022
    - 3.9K bytes
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  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_drq.mlir 

        func.return %1: tensor<*xf32>
  }
  func.func private @composite_matmul_fn_1(%arg0: tensor<2x12xf32>, %arg1: tensor<12x2xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} {
    %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_b", device = "", transpose_a = false, transpose_b = false} : (tensor<2x12xf32>, tensor<12x2xf32>) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 9.8K bytes
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  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir 

    // -----

// No CustomAggregator ops exist.
func.func private @composite_conv2d_with_bias_and_relu6_fn_1(%arg0: tensor<1x3x4x3xf32>, %arg1: tensor<2x3x3x2xf32>, %arg2: tensor<2xf32>) -> tensor<1x2x2x2xf32> attributes {tf_quant.composite_function} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 24.3K bytes
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  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir 

        func.return %6 : tensor<*xf32>
  }
  func.func private @composite_conv2d_with_bias_and_relu6_fn_1(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>, %arg2: tensor<2xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jan 08 01:16:10 UTC 2024
    - 25.2K bytes
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  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq_per_channel.mlir 

        func.return %1: tensor<*xf32>
  }
  func.func private @composite_matmul_fn(%arg0: tensor<1x2x2x3xf32>, %arg1: tensor<2x1024xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} {
    %0 = "tf.MatMul"(%arg0, %arg1) {attr_map = "0:transpose_a,1:transpose_a", device = "", transpose_a = false, transpose_b = false} : (tensor<1x2x2x3xf32>, tensor<2x1024xf32>) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 6.8K bytes
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  11. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir 

        func.return %6, %7 : tensor<*xf32>, tensor<*xf32>
  }
  func.func private @composite_conv2d_with_bias_and_relu6_fn_2(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>, %arg2: tensor<2xf32>) -> tensor<*xf32> attributes {tf_quant.composite_function} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Nov 06 01:23:21 UTC 2023
    - 15.2K bytes
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