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

  // CHECK: %[[CONSTANT_1:.*]] = stablehlo.constant dense<1.000000e+03> : tensor<1x3xf32>
  // CHECK: return
  // CHECK: }

  // CHECK: func private @_stablehlo_main_0
  // CHECK: %[[CONSTANT_0:.*]] = stablehlo.constant dense<1.000000e+03> : tensor<3x64xf32>
  // CHECK: %[[CONSTANT_1:.*]] = stablehlo.constant dense<1.000000e+03> : tensor<1x64xf32>
  // CHECK: return

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

- Last Modified: Thu Apr 25 01:09:50 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/tf_to_quant_4bit.mlir

// CHECK: %[[QUANTIZE:.*]] = "quantfork.qcast"(%[[CONSTANT0]]) : (tensor<3x3x3x16xf32>) -> tensor<3x3x3x16x!quant.uniform<i4:f32:3,
// CHECK-SAME: {1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,1.000000e+00:-8,

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

- Last Modified: Mon Oct 30 06:52:55 UTC 2023

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir

    %0 = "tf.FakeQuantWithMinMaxArgs"(%arg0) {device = "", max = 2.000000e-01 : f32, min = -1.000000e-01 : f32, narrow_range = false, num_bits = 8 : i64} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xf32>

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

- Last Modified: Mon Oct 30 06:52:55 UTC 2023

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github.com/tensorflow/tensorflow

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

  %0 = stablehlo.constant dense<[[0.000000e+0, 1.000000e+0, 2.000000e+0], [3.000000e+0, 4.000000e+0, 5.000000e+0]]> : tensor<2x3xf32>
  %1 = stablehlo.transpose %0, dims = [1, 0] : (tensor<2x3xf32>) -> tensor<3x2xf32>
  return %1 : tensor<3x2xf32>
}
// CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant dense<{{\[\[}}0.000000e+00, 3.000000e+00], [1.000000e+00, 4.000000e+00], [2.000000e+00, 5.000000e+00]]> : tensor<3x2xf32>
// CHECK-NOT: transpose

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

- Last Modified: Tue Mar 12 08:06:02 UTC 2024

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github.com/tensorflow/tensorflow

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

    %0 = stablehlo.constant dense<1.000000e+00> : tensor<4x3xf32>
    %1 = "quantfork.qcast"(%0) {volatile} : (tensor<4x3xf32>) -> tensor<4x3x!quant.uniform<i8<-127:127>:f32:1, {5.000000e-03, 5.000000e-03, 5.000000e-03}>>
    %2 = "quantfork.dcast"(%1) : (tensor<4x3x!quant.uniform<i8<-127:127>:f32:1, {5.000000e-03, 5.000000e-03, 5.000000e-03}>>) -> tensor<4x3xf32>

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

- Last Modified: Thu Apr 18 01:38:40 UTC 2024

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github.com/tensorflow/tensorflow

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

func.func @foldBroadcastInDimBeforeMulOp_bcast_dim_2D_float() -> (tensor<1x2x2x3xf32>) {
  // CHECK-DAG: %[[RES:.*]] = mhlo.constant dense<{{\[\[\[\[}}1.000000e+00, 4.000000e+00, 9.000000e+00], [4.000000e+00, 1.000000e+01, 1.800000e+01]], {{\[\[}}2.800000e+01, 4.000000e+01, 5.400000e+01], [4.000000e+01, 5.500000e+01, 7.200000e+01]]]]> : tensor<1x2x2x3xf32>
  %cst0 = mhlo.constant dense<[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]> : tensor<2x3xf32>

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

- Last Modified: Sat Apr 06 15:32:52 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir

// CHECK: %[[q:.*]] = "tfl.quantize"(%cst) <{qtype = tensor<4x12x!quant.uniform<i8<-127:127>:f32:0, {1.000000e+00,1.000000e+00,1.000000e+00,1.000000e+00}>>}> {volatile}
// CHECK: %[[dq:.*]] = "tfl.dequantize"(%0) : (tensor<4x12x!quant.uniform<i8<-127:127>:f32:0, {1.000000e+00,1.000000e+00,1.000000e+00,1.000000e+00}>>) -> tensor<4x12xf32>
// CHECK: "tfl.fully_connected"(%arg0, %[[dq]]

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

  // CHECK-LABEL: @f16
  // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf16>
  %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf16> } : () -> tensor<4xf16>
  func.return %0 : tensor<4xf16>
}

func.func @f32() -> tensor<4xf32> {
  // CHECK-LABEL: @f32
  // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf32>

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/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir

    %cst = "tf.Const"() {value = dense<[[[[1.600000e-01, 1.000000e-01], [5.100000e-01, 5.400000e-01], [-5.000000e-01, 4.100000e-01]], [[-3.500000e-01, 5.000000e-02], [-0.00999999977, 1.600000e-01], [-4.800000e-01, -2.400000e-01]]], [[[-3.500000e-01, -2.100000e-01], [-1.400000e-01, -2.000000e-02], [4.800000e-01, 3.500000e-01]], [[-1.900000e-01, 3.200000e-01], [0.00999999977, -7.000000e-02], [2.000000e-01, -4.000000e-02]]]]> : tensor<2x2x3x2xf32>} : () -> tensor<2x2x3x2xf32>

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

- Last Modified: Mon Jan 08 01:16:10 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tf2xla/tests/verify-tfxla-legalization.mlir

// CHECK-LABEL: allowsMHLO
func.func @allowsMHLO() -> (tensor<8x64x32x4xcomplex<f32>> {mhlo.sharding = ""}) {
  %0 = mhlo.constant dense<(1.000000e+00,-1.000000e+00)> : tensor<128x32x4xcomplex<f32>>
  %1 = mhlo.constant dense<(1.000000e+00,1.000000e+00)> : tensor<8x64x128xcomplex<f32>>

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

- Last Modified: Sat Apr 06 15:32:52 UTC 2024

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