1x3x4x3xi8 - Code Search

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

    %0 = stablehlo.convert %arg0 : (tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xi8>
    return %0 : tensor<1x3x3x4xi8>
  }
// CHECK: @uniform_quantize_1
  func.func private @uniform_dequantize_0(%arg0: tensor<1x3x3x4xi8>, %arg1: tensor<1x1x1x1xf32>, %arg2: tensor<1x1x1x1xi8>) -> tensor<1x3x3x4xf32> {
    %0 = stablehlo.convert %arg0 : (tensor<1x3x3x4xi8>) -> tensor<1x3x3x4xf32>

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/uniform-quantized-stablehlo-to-tfl.mlir

  %0 = stablehlo.constant() {value = dense<1> : tensor<1x2x4x5xi8>} : () -> tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+0>>
  return %0 : tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+0>>
}

// CHECK: %[[QCONST:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+00>>, value = dense<1> : tensor<1x2x4x5xi8>}>
// CHECK-SAME: () -> tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+00>>

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/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir

// CHECK-SAME: (tensor<1x2x2x3xi8>, tensor<2x2x3x2xi8>, tensor<2xi32>, tensor<f32>, tensor<i32>, tensor<2xf32>, tensor<2xi32>, tensor<2xf32>, tensor<2xi32>, tensor<f32>, tensor<i32>) -> tensor<*xf32>
// CHECK: return %[[conv_quant]]

// CHECK-LABEL: func private @quantized_conv2d_with_bias_and_relu6_float_output_fn_0

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github.com/tensorflow/tensorflow

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

  %quant_arg = stablehlo.uniform_quantize %arg0 : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0039207626791561354:-128>>

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

- Last Modified: Thu Feb 08 22:40:14 UTC 2024

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github.com/tensorflow/tensorflow

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

  %bias = arith.constant dense<[7.11401462, 7.05456924]> : tensor<2xf32>

  %q_input= "quantfork.qcast"(%input) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.58810077742034317:-128>>
  %dq_input= "quantfork.dcast"(%q_input) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.58810077742034317:-128>>) -> tensor<1x3x4x3xf32>

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

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

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github.com/tensorflow/tensorflow

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

  %bias = arith.constant dense<[7.11401462, 7.05456924]> : tensor<2xf32>

  %q_input= "quantfork.qcast"(%input) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.58810077742034317:-128>>
  %dq_input= "quantfork.dcast"(%q_input) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.58810077742034317:-128>>) -> tensor<1x3x4x3xf32>

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github.com/tensorflow/tensorflow

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

// CHECK: %[[CALL_0:.+]] = call @quantized_conv_fn(%[[UNIFORM_QUANTIZE_0]], %[[CONST_0]])

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir

  %2 = "quantfork.qcast"(%arg0) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>
  %3 = "quantfork.dcast"(%2) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>

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- Last Modified: Wed Feb 14 03:24:59 UTC 2024

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github.com/tensorflow/tensorflow

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

  // CHECK-DAG: %[[CONVERT_1:.*]] = mhlo.bitcast_convert %[[LHS]] : (tensor<1x6x6x3x!quant.uniform<i8:f32, 2.000000e+00:4>>) -> tensor<1x6x6x3xi8>
  // CHECK-DAG: %[[CONVERT_2:.*]] = mhlo.bitcast_convert %[[CONVERT_1]] : (tensor<1x6x6x3xi8>) -> tensor<1x6x6x3x!quant.uniform<i8:f32, 2.000000e+00:4>>
  // CHECK: mhlo.convolution(%[[CONVERT_2]], %[[RHS]])

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github.com/tensorflow/tensorflow

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

  // CHECK-NEXT: "tfl.transpose_conv"
}

// CHECK-LABEL: FoldReshape

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