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  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils_test.cc 

          )mlir";

  Block block{};
  TF::UniformQuantizedAddOp op =
      ParseUniformQuantizedAddOp(kAddOpExpr, block, ctx_);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Sep 11 00:47:05 UTC 2023
    - 11.4K bytes
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  3. github.com/tensorflow/tensorflow

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

    // CHECK-DAG: %[[zp:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}> : () -> tensor<i32>
// CHECK: %0 = "tf.PartitionedCall"(%arg0, %[[q_w]], %[[scale]], %[[zp]]) <{config = "", config_proto = "", executor_type = "",
// CHECK-SAME: f = @quantized_matmul_fn_0}> : (tensor<2x12xf32>, tensor<12x2x!tf_type.qint8>, tensor<f32>, tensor<i32>) -> 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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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tpu-variable-runtime-reformatting.mlir 

    !tf_res_f32 = tensor<*x!tf_type.resource<tensor<f32>>>
!tf_res_md_f32 = tensor<*x!tf_type.resource<tensor<3x3x1x32xf32>>> // Multi-dim f32

module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
  // CHECK-LABEL: func @main
  // CHECK-SAME: %[[ARG0:.*]]: tensor<*x!tf_type.resource<tensor<f32>>> {tf.device = "/device:TPU:0"},
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:59:10 UTC 2023
    - 25.4K bytes
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  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
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  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir 

      %0 = mhlo.constant dense<1.000000e+00> : tensor<f32>
  %1 = "mhlo.broadcast_in_dim"(%0) {broadcast_dimensions = dense<> : tensor<0xi64>} : (tensor<f32>) -> tensor<6x6xf32>
  %2 = mhlo.constant dense<0.000000e+00> : tensor<f32>
  %3 = "mhlo.reduce_window"(%arg0, %2) ({
  ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
    %7 = mhlo.add %arg1, %arg2 : tensor<f32>
    mhlo.return %7 : tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 18:45:51 UTC 2024
    - 32.6K bytes
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  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir 

    }

// CHECK-LABEL: @branch0
func.func @branch0(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<f32> {
  %0 = "tf.Add" (%arg0, %arg1) {__op_key = 1, device = "/device:CPU:0"}  : (tensor<f32>, tensor<f32>) -> tensor<f32>
  func.return %0 : tensor<f32>
}

// CHECK-LABEL: @branch1
func.func @branch1(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<f32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 31 20:44:15 UTC 2024
    - 24.7K bytes
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  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir 

      %pos = arith.constant dense<5.0> : tensor<f32>
  %neg = arith.constant dense<-5.0> : tensor<f32>
  %no = "tf.LeakyRelu"(%arg0) {alpha = 0.2 : f32} : (tensor<16xf32>) -> tensor<16xf32>
  %0 = "tf.LeakyRelu"(%pos) {alpha = 0.3 : f32} : (tensor<f32>) -> tensor<f32>
  %1 = "tf.LeakyRelu"(%neg) {alpha = 0.2 : f32} : (tensor<f32>) -> tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jan 31 23:22:24 UTC 2024
    - 36.7K bytes
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  9. github.com/tensorflow/tensorflow

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

    // CustomOp-DAG: %[[q_b:.*]] = "tfl.quantize"(%[[b]]) <{qtype = tensor<2048x1x1x1x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>}> : (tensor<2048x1x1x1xf32>) -> tensor<2048x1x1x1x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 38.2K bytes
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  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.td 

            %3 = "tf.While"(%1) {body = @while_body, cond = @while_cond}
        tf_device.return %3 : tensor<f32>
      }) : () -> tensor<f32>
      "tf.AssignVariableOp"(%0, %2)
      return
    }
    func @while_body(%arg0: tensor<f32>) {
      %0 = "tf.Const"() ...
      return %0 : tensor<f32>
    }
    func @while_cond(%arg0: tensor<f32>) {
      return %arg0
    }
    ```
  }];
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 17 18:52:57 UTC 2024
    - 12.5K bytes
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  11. github.com/tensorflow/tensorflow

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

      // CHECK-NEXT:  %[[v1:.*]] = mhlo.constant dense<2.000000e+00> : tensor<f32>
  // CHECK-NEXT:  %[[v2:.*]] = mhlo.constant dense<2.000000e+00> : tensor<f32>
  // CHECK-NEXT:  %[[v3:.*]] = mhlo.constant dense<-1.280000e+02> : tensor<f32>
  // CHECK-NEXT:  %[[v4:.*]] = "mhlo.broadcast_in_dim"(%3) <{broadcast_dimensions = dense<> : tensor<0xi64>}> : (tensor<f32>) -> tensor<1x300x300x40xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 15.8K bytes
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