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Results 1 - 2 of 2 for 256x8x7x16xf32 (0.14 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
%1 = "tfl.add"(%0, %cst) {fused_activation_function = "NONE"} : (tensor<256x8x7x16xf32>, tensor<16xf32>) -> tensor<256x8x7x16xf32> %2 = "tfl.add"(%0, %cst_1) {fused_activation_function = "NONE"} : (tensor<256x8x7x16xf32>, tensor<16xf32>) -> tensor<256x8x7x16xf32> func.return %1, %2 : tensor<256x8x7x16xf32>, tensor<256x8x7x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
%0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x6xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32> func.return %0 : tensor<256x8x7x16xf32> } // ----- // CHECK-LABEL: conv3d_simple func.func @conv3d_simple(%arg0: tensor<256x32x32x32x6xf32>, %arg1: tensor<3x3x3x3x16xf32>) -> tensor<256x7x6x5x16xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)