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

// CHECK: %[[BITCAST_CONVERT_0:.*]] = stablehlo.bitcast_convert %[[UQ]] : (tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<1xi8>
// CHECK: %[[BITCAST_CONVERT_1:.*]] = stablehlo.bitcast_convert %[[BITCAST_CONVERT_0]] : (tensor<1xi8>) -> tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>

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

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

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir

    %11 = stablehlo.reshape %2 : (tensor<1x1x1x1xi8>) -> tensor<1xi8>
    %12 = stablehlo.broadcast_in_dim %11, dims = [0] : (tensor<1xi8>) -> tensor<1x3x3x4xi8>
    %13 = stablehlo.convert %12 : (tensor<1x3x3x4xi8>) -> tensor<1x3x3x4xf32>
    %14 = stablehlo.convert %3 : (tensor<3x3x4x4xi8>) -> tensor<3x3x4x4xf32>

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

- Last Modified: Tue May 14 17:10:32 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir

// CHECK-SAME:                               %[[VAL_1:.*]]: tensor<1x4xi8>) -> tensor<1x4xi8> {
// CHECK:           %[[VAL_2:.*]] = "tf.BitwiseOr"(%[[VAL_0]], %[[VAL_1]]) : (tensor<1xi8>, tensor<1x4xi8>) -> tensor<1x4xi8>
// CHECK:           return %[[VAL_2]] : tensor<1x4xi8>
// CHECK:         }
func.func @bitwise_or_broadcast(%arg0: tensor<1xi8>, %arg1: tensor<1x4xi8>) -> tensor<1x4xi8> {

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

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir

  %0 = "tfl.pseudo_qconst"() {qtype = tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1xi8>} : () -> tensor<1x!quant.uniform<i8:f32, 0.003:-128>>
  %1 = "tfl.pseudo_qconst"() {qtype = tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1xi8>} : () -> tensor<1x!quant.uniform<i8:f32, 0.003:-128>>

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

- Last Modified: Thu May 02 09:41:17 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir

  func.return %0 : tensor<4xf64>
}

func.func @i8() -> tensor<4xi8> {
  // CHECK-LABEL: @i8
  // CHECK: value = dense<[1, 2, 3, 4]> : tensor<4xi8>
  %0 = "tfl.pseudo_const" () { value = dense<[1, 2, 3, 4]> : tensor<4xi8> } : () -> tensor<4xi8>
  func.return %0 : tensor<4xi8>
}

func.func @i16() -> tensor<4xi16> {
  // CHECK-LABEL: @i16

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

- Last Modified: Thu May 02 09:41:17 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir

  func.return %0 : tensor<4xf64>
}

func.func @i8() -> tensor<4xi8> {
  // CHECK-LABEL: @i8
  // CHECK: value = dense<[1, 2, 3, 4]> : tensor<4xi8>
  %0 = "tfl.pseudo_const" () { value = dense<[1, 2, 3, 4]> : tensor<4xi8> } : () -> tensor<4xi8>
  func.return %0 : tensor<4xi8>
}

func.func @i16() -> tensor<4xi16> {
  // CHECK-LABEL: @i16

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

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github.com/tensorflow/tensorflow

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

  // CHECK: %[[CONVERT_1:.*]] = mhlo.bitcast_convert %[[QUANTIZE]] : (tensor<2x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<2xi8>
  // CHECK: %[[CONVERT_2:.*]] = mhlo.bitcast_convert %[[CONVERT_1]] : (tensor<2xi8>) -> tensor<2x!quant.uniform<i8:f32, 1.000000e+00:3>>
  // CHECK: %[[DEQUANTIZE:.*]] = mhlo.uniform_dequantize %[[CONVERT_2]] : (tensor<2x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<2xf32>

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

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/const-fold.mlir

}

// CHECK-LABEL: @cast_ui8_to_i8
func.func @cast_ui8_to_i8() -> tensor<4xi8> {
  %cst = arith.constant dense<[0, 255, 127, 128]> : tensor<4xui8>
  %0 = "tfl.cast"(%cst) : (tensor<4xui8>) -> tensor<4xi8>
  func.return %0 : tensor<4xi8>

// CHECK: %[[CST:.*]] = arith.constant dense<[0, -1, 127, -128]> : tensor<4xi8>
// CHECK:  return %[[CST]]
}

// CHECK-LABEL: @cast_i8_to_i32

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir

// CHECK: %[[maxpool_i8:.*]] = "tf.MaxPool"(%[[sc1]])
// CHECK-SAME: (tensor<*xi8>) -> tensor<*xi8>
// CHECK: %[[reshape_i8:.*]] = "tf.Reshape"(%[[maxpool_i8]]
// CHECK-SAME: (tensor<*xi8>, tensor<2xi32>) -> tensor<*xi8>
// CHECK: %[[sc2:.*]] = "quantfork.scast"(%[[reshape_i8]])
// CHECK: %[[dq:.*]] = "quantfork.dcast"(%[[sc2]]) : (tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>)

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir

  func.return %11 : tensor<*xf32>
}

// CHECK: %[[maxpool_i8:.*]] = "tf.MaxPool"
// CHECK-SAME: (tensor<*xi8>) -> tensor<*xi8>
// CHECK: %[[reshape_i8:.*]] = "tf.Reshape"(%[[maxpool_i8]]
// CHECK-SAME: (tensor<*xi8>, tensor<2xi32>) -> tensor<*xi8>
// CHECK: %[[scast:.*]] = "quantfork.scast"(%[[reshape_i8]]
// CHECK: %[[matmul:.*]] = "tf.PartitionedCall"(%[[scast]]
// CHECK-SAME: f = @composite_matmul_fn_1

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

- Last Modified: Wed May 08 19:32:28 UTC 2024

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