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Results 1 - 2 of 2 for depthwise_conv2d_native (0.33 sec)

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

    // CHECK:           %[[VAL_2:.*]] = "tf.Reshape"(%[[VAL_1]], %[[CST]]) : (tensor<3x3x1x3312xf32>, tensor<4xi64>) -> tensor<3x3x207x16xf32>
    // CHECK:           %[[VAL_3:.*]] = "tf.DepthwiseConv2dNative"(%[[VAL_0]], %[[VAL_2]]) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 1, 1]}> : (tensor<1x8x8x207xf32>, tensor<3x3x207x16xf32>) -> tensor<1x8x8x3312xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

      // CHECK: %[[RESHAPED_FILTER:.*]] = mhlo.reshape %arg1 : (tensor<2x2x3x3xf32>) -> tensor<2x2x1x9xf32>
      // CHECK: mhlo.convolution(%arg0, %[[RESHAPED_FILTER]])
      // CHECK-SAME: feature_group_count = 3
      %0 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) {
        data_format = "NHWC",
        device = "",
        dilations = [1, 1, 1, 1],
        explicit_paddings = [],
        padding = "VALID",
        strides = [1, 1, 1, 1]
    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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