lhs_dilation - Code Search

tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions_fusion.td

    (NamedAttributeList
      (NamedAttr<"window_strides"> (DefaultOrNullAttr $window_strides)),
      (NamedAttr<"padding"> (DefaultOrNullAttr $padding)),
      (NamedAttr<"lhs_dilation"> (DefaultOrNullAttr $lhs_dilation)),
      (NamedAttr<"rhs_dilation"> (DefaultOrNullAttr $rhs_dilation)),
      (NamedAttr<"window_reversal"> (DefaultOrNullAttr $window_reversal)),
      (NamedAttr<"dimension_numbers"> $dimension_numbers),

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- Last Modified: Thu Apr 04 07:19:09 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions_simple.td

      (NamedAttr<"window_strides"> (DefaultOrNullAttr $window_strides)),
      (NamedAttr<"padding"> (DefaultOrNullAttr $padding)),
      (NamedAttr<"lhs_dilation"> (DefaultOrNullAttr $lhs_dilation)),
      (NamedAttr<"rhs_dilation"> (DefaultOrNullAttr $rhs_dilation)),
      (NamedAttr<"window_reversal"> (DefaultOrNullAttr $window_reversal)),
      (NamedAttr<"dimension_numbers"> $dimension_numbers),

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- Last Modified: Thu Mar 28 23:21:42 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized_drq.mlir

        Tlhs = "tfdtype$DT_FLOAT",
        Trhs = "tfdtype$DT_QINT8",
        Tout = "tfdtype$DT_FLOAT",
        window_strides = [1, 1],
        padding = "",
        explicit_padding = [],
        lhs_dilation = [],
        rhs_dilation = [],
        dimension_numbers = "",
        batch_group_count = 1,
        feature_group_count = 1,
        rhs_quantization_axis = -1,
        rhs_quantization_min_val = -128,

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- Last Modified: Thu Dec 01 12:06:54 UTC 2022

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github.com/tensorflow/tensorflow

tensorflow/compiler/jit/xla_ops_on_regular_devices.cc

                              .HostMemory("padding")                           \
                              .HostMemory("lhs_dilation")                      \
                              .HostMemory("rhs_dilation")                      \
                              .HostMemory("feature_group_count")               \
                              .Device(DEVICE),                                 \

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/duplicate_shape_determining_constants.mlir

  %1 = "tf.AddV2"(%feature_group_count, %feature_group_count) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i32>
  %2 = "tf.AddV2"(%lhs_dilation, %lhs_dilation) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32>
  %3 = "tf.AddV2"(%rhs_dilation, %rhs_dilation) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32>
  %4 = "tf.AddV2"(%padding, %padding) {device = ""} : (tensor<3x2xi32>, tensor<3x2xi32>) -> tensor<3x2xi32>

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- Last Modified: Thu Nov 24 07:44:46 UTC 2022

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/passes/nchw_convolution_to_nhwc.cc

    const TensorType new_conv_output_tensor_type =
        GetTransposedTensorType(output_tensor_type, kNchwToNhwcPermutation);

    // window_strides, padding, lhs_dilation, rhs_dilation, window_reversal are
    // reused without modification because the ordering of spatial dimensions
    // is not modified (i.e. before: [b, f, 0, 1], after: [b, 0, 1, f] => the

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- Last Modified: Thu Apr 25 16:01:03 UTC 2024

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github.com/tensorflow/tensorflow

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

// CHECK-SAME: dimension_numbers = "\10\03\1A\02\01\02 \02(\032\02\00\01@\03J\02\01\02"
// CHECK-SAME: explicit_padding = []
// CHECK-SAME: feature_group_count = 1 : i64
// CHECK-SAME: lhs_dilation = [1, 1]
// CHECK-SAME: padding = "VALID"
// CHECK-SAME: rhs_dilation = [2, 2]
// CHECK-SAME: rhs_quantization_axis = -1 : i64
// CHECK-SAME: rhs_quantization_max_val = 127 : i64
// CHECK-SAME: rhs_quantization_min_val = -128 : i64

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

    %feature_group_count = "tf.Const"() {value = dense<-1> : tensor<i32>} : () -> tensor<i32>
    %rhs_dilation = "tf.Const"() {value = dense<1> : tensor<3xi32>} : () -> tensor<3xi32>
    %lhs_dilation = "tf.Const"() {value = dense<[4, 1, 1]> : tensor<3xi32>} : () -> tensor<3xi32>
    %padding = "tf.Const"() {value = dense<0> : tensor<3x2xi32>} : () -> tensor<3x2xi32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/flatbuffer_operator.cc

          "lhs_dilation", BuildVhloTensorV1Attr(shape, data, builder)));
    }
    if (!(op->rhs_dilation.empty())) {
      std::vector<int64_t> shape;
      shape.push_back(static_cast<int64_t>(op->rhs_dilation.size()));
      attributes.emplace_back(builder.getNamedAttr(
          "rhs_dilation",
          BuildVhloTensorV1Attr(shape, op->rhs_dilation, builder)));
    } else {

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- Last Modified: Tue May 21 18:21:50 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc

  }

  Value padding, window_strides, lhs_dilation, rhs_dilation,
      feature_group_count;
  PrepareXlaConvParams(builder, loc, strides, dilations, feature_group_cnt,
                       /*window_strides=*/window_strides,
                       /*lhs_dilation=*/lhs_dilation,
                       /*rhs_dilation=*/rhs_dilation,
                       /*feature_group_count=*/feature_group_count,

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- Last Modified: Thu Apr 25 16:01:03 UTC 2024

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