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  2. github.com/tensorflow/tensorflow

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

    // CHECK-NEXT: %[[split:.*]]:2 = "tfl.split"
// CHECK-NEXT: %[[stats1:.*]] = "quantfork.stats"(%[[split]]#0) <{layerStats = dense<[-1.000000e+00, 1.000000e+00]>
// CHECK-NEXT: %[[stats2:.*]] = "quantfork.stats"(%[[split]]#1) <{layerStats = dense<[-1.000000e+00, 1.000000e+00]>
// CHECK-NEXT: return %[[stats1]], %[[stats2]] : tensor<2xf32>, tensor<2xf32>
}

// CHECK-LABEL: import_stats_name_port
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 01 06:25:50 UTC 2024
    - 2.8K bytes
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  3. github.com/tensorflow/tensorflow

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

      %4 = "quantfork.dcast"(%3) : (tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>) -> tensor<*xf32>
  %5 = "tf.Reshape"(%4, %cst) {device = ""} : (tensor<*xf32>, tensor<2xi32>) -> tensor<*xf32>
  %6 = "quantfork.qcast"(%5) {volatile} : (tensor<*xf32>) -> tensor<*x!quant.uniform<i8:f32, 5.000000e-02:-10>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 19:32:28 UTC 2024
    - 6.4K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/const-values.pbtxt 

            # CHECK: value = dense<{{\[\[}}1.000000e+00, 2.000000e+00, 3.000000e+00], [4.000000e+00, 5.000000e+00, 6.000000e+00]]> : tensor<2x3xf64>
      }
    }
  }
}
node {
  name: "x"
  op: "Const"
  device: "/device:CPU:0"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Apr 24 00:20:25 UTC 2020
    - 3.3K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

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

      %q_w = "tfl.pseudo_qconst"() {qtype = tensor<1024x1x1x1x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>, value = dense<127> : tensor<1024x1x1x1xi8>} : () -> tensor<1024x1x1x1x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>
  %dq_w = "tfl.dequantize"(%q_w) : (tensor<1024x1x1x1x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<1024x1x1x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 11.4K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir 

        %cst = stablehlo.constant dense<3.000000e-01> : tensor<2x3xf32>
    %0 = "quantfork.qcast"(%cst) : (tensor<2x3xf32>) -> tensor<2x3x!quant.uniform<i8:f32, 6.000000e-03>>
    %1 = "quantfork.dcast"(%0) : (tensor<2x3x!quant.uniform<i8:f32, 6.000000e-03>>) -> tensor<2x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 4.8K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-nnapi.mlir 

    // CHECK:           %[[VAL_3:.*]] = "tfl.reshape"(%[[VAL_2]], %[[VAL_1]]) : (tensor<?x1x1x2048x!quant.uniform<i8:f32, 6.000000e-01:-128>>, tensor<2xi32>) -> tensor<?x2048x!quant.uniform<i8:f32, 6.000000e-01:-128>>
// CHECK:           return %[[VAL_3]] : tensor<?x2048x!quant.uniform<i8:f32, 6.000000e-01:-128>>
// CHECK:         }

// -----
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.9K bytes
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  8. github.com/tensorflow/tensorflow

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

      %cst_0 = "tf.Const"() {value = dense<[-1.000000e+00, -3.000000e+00]> : tensor<2xf32>} : () -> tensor<2xf32>
  %cst_1 = "tf.Const"() {value = dense<[1.000000e+00, 3.000000e+00]> : tensor<2xf32>} : () -> tensor<2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.4K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/get-alternative-subgraph.mlir 

    CHECK:   func private @quantize_ops_CPU_QUANTIZED_INT8(%[[VAL_0:.*]]: tensor<384x512x!quant.uniform<i8:f32, 1.000000e-01>>, %[[VAL_1:.*]]: tensor<128x512x!quant.uniform<i8<-127:127>:f32, 1.000000e-01>>, %[[VAL_2:.*]]: tensor<128x!quant.uniform<i8:f32, 2.000000e-01:-128>>, %[[VAL_3:.*]]: tensor<128x!quant.uniform<i8:f32, 2.000000e-01:-4>>) -> tensor<1x384x128x!quant.uniform<i8:f32, 3.000000e-01:-3>> attributes {tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8", tac.interface_name = "quantize_ops"}...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.1K bytes
    - Viewed (0)
  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/quantize-variables.mlir 

    // CHECK-NEXT:  %[[q2:.*]] = "tfl.quantize"(%arg0) <{qtype = tensor<1x2x1x3x!quant.uniform<i8:f32, 1.000000e+00>>}> : (tensor<1x2x1x3x!quant.uniform<i8:f64, 1.000000e+00>>) -> tensor<1x2x1x3x!quant.uniform<i8:f32, 1.000000e+00>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.3K bytes
    - Viewed (0)
  11. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/optimize_op_order.mlir 

      %w = "tfl.pseudo_qconst"() {qtype = tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>, value = dense<127> : tensor<12x2xi8>} : () -> tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>
  %dq_w = "tfl.dequantize"(%w) : (tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<12x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Apr 01 02:06:15 UTC 2022
    - 3.6K bytes
    - Viewed (0)
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