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Results 1 - 4 of 4 for 4x3x16x16x16xf32 (0.38 sec)

  2. github.com/tensorflow/tensorflow

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

    // CHECK-SAME:                                %[[VAL_0:.*]]: tensor<4x3x16x16x16xf32>) -> tensor<4x3x7x7x7xf32> {
// CHECK:           %[[VAL_1:.*]] = "tf.AvgPool3D"(%[[VAL_0]]) <{data_format = "NCDHW", ksize = [1, 1, 3, 3, 3], padding = "VALID", strides = [1, 1, 2, 2, 2]}> : (tensor<4x3x16x16x16xf32>) -> tensor<4x3x7x7x7xf32>
// CHECK:           return %[[VAL_1]] : tensor<4x3x7x7x7xf32>
// CHECK:         }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

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

        %0 = "tf.XlaConvV2"(%lhs, %rhs, %strides, %padding, %lhs_dilation, %rhs_dilation, %feature_group_count) {dimension_numbers = "\18\03 \042\03\00\01\02@\04P\04Z\03\01\02\03b\03\01\02\03", precision_config = ""} : (tensor<8x4x16x16x16xf32>, tensor<4x3x3x16x16xf32>, tensor<3xi32>, tensor<3x2xi32>,...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir 

      func.return %res1, %res2, %res3 : tensor<2xcomplex<f32>>, tensor<2xcomplex<f32>>, tensor<2xcomplex<f32>>
}

// CHECK-LABEL: testXlaConvToV2
func.func @testXlaConvToV2(%lhs: tensor<8x4x16x16x16xf32>, %rhs: tensor<4x3x3x16x16xf32>) -> (tensor<8x4x14x14x16xf32>) {
  %feature_group_count = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 22:07:10 UTC 2024
    - 132.1K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

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

      %0 = "tf.XlaConvV2"(%lhs, %rhs, %strides, %padding, %lhs_dilation, %rhs_dilation, %feature_group_count) {batch_group_count = 2 : i64, dimension_numbers = "\18\03 \042\03\00\01\02@\04P\04Z\03\01\02\03b\03\01\02\03", precision_config = ""} : (tensor<8x4x16x16x16xf32>, tensor<4x3x3x16x16xf32>, tensor<3xi32>, tensor<3x2xi32>, tensor<3xi32>, tensor<3xi32>, tensor<i32>)...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
    - Viewed (0)
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