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Results 1 - 5 of 5 for 1xi8 (0.04 sec)

  1. tensorflow/compiler/mlir/tensorflow_to_stablehlo/tests/test_tf_to_stablehlo.mlir

    // CHECK: %[[BITCAST_CONVERT_0:.*]] = stablehlo.bitcast_convert %[[UQ]] : (tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<1xi8>
    // CHECK: %[[BITCAST_CONVERT_1:.*]] = stablehlo.bitcast_convert %[[BITCAST_CONVERT_0]] : (tensor<1xi8>) -> tensor<1x!quant.uniform<i8:f32, 1.000000e+00:3>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 22:58:42 UTC 2024
    - 1.5K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo_custom_call.mlir

    // Identity function to make the exporter happy
    func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> {
      func.return %arg0 : tensor<4xi8>
    }
    
    //CHECK:func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> attributes {tf.entry_function = {inputs = "arg0", outputs = "arg0"}} {
    //CHECK: return %arg0 : tensor<4xi8>
    //CHECK:}
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 14 19:15:40 UTC 2024
    - 3.6K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir

    // CHECK: %[[maxpool_i8:.*]] = "tf.MaxPool"(%[[sc1]])
    // CHECK-SAME: (tensor<*xi8>) -> tensor<*xi8>
    // CHECK: %[[reshape_i8:.*]] = "tf.Reshape"(%[[maxpool_i8]]
    // CHECK-SAME: (tensor<*xi8>, tensor<2xi32>) -> tensor<*xi8>
    // CHECK: %[[sc2:.*]] = "quantfork.scast"(%[[reshape_i8]])
    // CHECK: %[[dq:.*]] = "quantfork.dcast"(%[[sc2]]) : (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. tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir

      %7 = "tf.opH"() : () -> tensor<*xf32>
      %8 = "tf.opI"() : () -> tensor<*xf32>
      %9 = "tf.opJ"() : () -> tensor<*xi8>
      %10 = "tf.opK"() : () -> tensor<*xi16>
      %11 = "tf.opL"() : () -> tensor<*xi64>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 23:53:20 UTC 2024
    - 7.7K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/quantization/ir/QuantizeUtils.cc

      if (!quantDenseAttr) {
        return nullptr;
      }
    
      // Cast from an expressed-type-based type to storage-type-based type,
      // preserving the sparse shape (i.e. tensor<4xf32> -> tensor<4xi8>).
      ShapedType newSparseType = mlir::dyn_cast_or_null<ShapedType>(
          quantizedElementType.castExpressedToStorageType(
              realSparseAttr.getType()));
      if (!newSparseType) {
        return nullptr;
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 6.1K bytes
    - Viewed (0)
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