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  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir 

    // CHECK-DAG: %[[CST:.+]] = stablehlo.constant dense<1.000000e+00> : tensor<4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 5.1K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/odml_converter/tests/shlo_simplify.mlir 

    // CHECK: stablehlo.constant dense<[2.000000e+00, 3.000000e+00]> : tensor<2xf32>

// -----

func.func @foldDivBothSplat() -> tensor<2xf32> {
  %0 = stablehlo.constant dense<4.0> : tensor<2xf32>
  %1 = stablehlo.constant dense<2.0> : tensor<2xf32>
  %2 = stablehlo.divide %0, %1 : tensor<2xf32>
  return %2 : tensor<2xf32>
}

// CHECK-LABEL: foldDivBothSplat
// CHECK: stablehlo.constant dense<2.000000e+00> : tensor<2xf32>

// -----
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 03:05:20 UTC 2024
    - 2.8K bytes
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  4. github.com/tensorflow/tensorflow

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

      // CHECK-DAG: %[[LHS1:.*]] = mhlo.bitcast_convert %[[LHS]] : (tensor<3x2x!quant.uniform<i32:f32, 2.000000e+00:4>>) -> tensor<3x2xi32>
  // CHECK-DAG: %[[LHS2:.*]] = mhlo.bitcast_convert %[[LHS1]] : (tensor<3x2xi32>) -> tensor<3x2x!quant.uniform<i32:f32, 2.000000e+00:4>>
  %0 = "tf.UniformQuantize"(%input, %input_scales, %input_zps) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 7.2K bytes
    - Viewed (0)
  5. github.com/golang/go

    src/crypto/tls/testdata/Client-TLSv13-Ed25519 

    00000100  53 8f f8 3b ed 2c df b9  08 c2 da 60 b9 23 17 50  |S..;.,.....`.#.P|
00000110  da 0f 24 76 15 21 e6 e9  a8 f5 3e 08 cc 1b ee 92  |..$v.!....>.....|
00000120  2b 01 92 8d f9 4f 5a 3a  53 11 fc 32 52 cc af cd  |+....OZ:S..2R...|
00000130  7b 94 0e 76 10 c2 16 36  2d a4 64 69 1c 05 70 20  |{..v...6-.di..p |
00000140  0d 23 cd 4a 33 c5 c7 db  db 0f f8 b6 42 0c 83 0a  |.#.J3.......B...|
00000150  a1 73 68 fb 87 2c 9d d2  d3 cf d7 3a bb 36 7e 83  |.sh..,.....:.6~.|
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed May 22 22:33:38 UTC 2024
    - 5.2K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir 

      %10 = "tfl.pseudo_const"() {value = dense<0.000000e+00> : tensor<3xf32>} : () -> tensor<3xf32>
  %11 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<3xf32>} : () -> tensor<3xf32>
  %recurrent_input = "tfl.pseudo_const"() {value = dense<0.000000e+00> : tensor<1x3xf32>} : () -> tensor<1x3xf32>
  %cell_input = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<1x3xf32>} : () -> tensor<1x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.6K bytes
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  7. github.com/tensorflow/tensorflow

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

    }

// -----

module {
  func.func @conv2d(%arg0: tensor<1x3x4x512xf32>) -> (tensor<*xf32>) {
    %cst_0 = "tf.Const"() {value = dense<0.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>
    %cst_1 = "tf.Const"() {value = dense<3.000000e+00> : tensor<2x3x512x2xf32>} : () -> tensor<2x3x512x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 6.8K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/fetch_feed_names.mlir 

          %outputs_0, %control_1 = tf_executor.island(%control) wraps "tf.Const"() {value = dense<0.000000e+00> : tensor<16xf32>} : () -> tensor<16xf32>
      %outputs_2, %control_3 = tf_executor.island(%control_1) wraps "tf.Const"() {value = dense<0.000000e+00> : tensor<5x5x32x16xf32>} : () -> tensor<5x5x32x16xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 25 12:28:56 UTC 2022
    - 3K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json 

    // CHECK-SAME: effective_hidden_scale_intermediate = tensor<*x!quant.calibrated<f32<-5.000000e-01:5.000000e-01>>>
// CHECK-SAME: input_to_cell_intermediate = tensor<*x!quant.calibrated<f32<-4.000000e+00:4.000000e+00>>>
// CHECK-SAME: input_to_forget_intermediate = tensor<*x!quant.calibrated<f32<-1.600000e+01:1.600000e+01>>>
// CHECK-SAME: input_to_input_intermediate = tensor<*x!quant.calibrated<f32<-3.200000e+01:3.200000e+01>>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 01 06:25:50 UTC 2024
    - 9.1K bytes
    - Viewed (0)
  10. github.com/tensorflow/tensorflow

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

    // CHECK-NEXT: %[[Q:.*]] = "tfl.quantize"(%arg0) <{qtype = tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>}> : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>
// CHECK-NEXT: %[[CST:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>, value = dense<-76> : tensor<1x2xi8>}> : () -> tensor<1x2x!quant.uniform<u8:f32, 1.000000e+00>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.3K bytes
    - Viewed (0)
  11. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir 

      %cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>
  %0 = "tf.FakeQuantWithMinMaxArgs"(%arg1) {device = "", max = 2.000000e+00 : f32, min = -1.000000e+00 : f32, narrow_range = false, num_bits = 8 : i64} : (tensor<2x3x3x2xf32>) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 3.5K bytes
    - Viewed (0)
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