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Results 1 - 2 of 2 for 256x32x32x32x6xf32 (0.18 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
func.return %0 : tensor<256x8x7x16xf32> } // ----- // CHECK-LABEL: conv3d_simple func.func @conv3d_simple(%arg0: tensor<256x32x32x32x6xf32>, %arg1: tensor<3x3x3x3x16xf32>) -> tensor<256x7x6x5x16xf32> { // CHECK: mhlo.convolution(%arg0, %arg1) // CHECK-SAME: dim_numbers = [b, 0, 1, 2, f]x[0, 1, 2, i, o]->[b, 0, 1, 2, f]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
// CHECK-LABEL: func @testValidConv3D func.func @testValidConv3D(%arg0: tensor<256x32x32x32x3xf32>, %arg1: tensor<3x3x3x3x16xf32>) -> tensor<256x32x32x32x16xf32> { %0 = "tf.Conv3D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1, 1, 1, 1]} : (tensor<256x32x32x32x3xf32>, tensor<3x3x3x3x16xf32>) -> tensor<256x32x32x32x16xf32> func.return %0 : tensor<256x32x32x32x16xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0)