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tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
%device_launch = "tf_device.cluster_func"(%input,...) {func = @_func,...) return ... } func @_func(%input: tensor<2x224x224x3xf32>, %filter: tensor<7x7x3x64xf32>) { %6 = "tf.Conv2D"(%input, %filter) {strides = [1, 2, 2, 1]}: (tensor<2x230x230x3xf32>, tensor<7x7x3x64xf32>) -> tensor<2x112x112x64xf32> } } ``` The program will be transformed into: ```mlir module { func @while_body {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
%129 = "tf.Transpose"(%127, %cst_14) : (tensor<6x3x7x7xf32>, tensor<4xi64>) -> tensor<7x7x3x6xf32> %130 = "tf.Conv2D"(%arg0, %129) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [0, 0, 3, 3, 3, 3, 0, 0], padding = "EXPLICIT", strides = [1, 2, 2, 1], use_cudnn_on_gpu = true}> : (tensor<1x224x224x3xf32>, tensor<7x7x3x6xf32>) -> tensor<1x112x112x6xf32> return %130 : tensor<1x112x112x6xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0)