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Results 1 - 2 of 2 for 3x3x3x8x16xf32 (0.11 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
%0 = "tf.Conv3D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1, 1, 1, 1]} : (tensor<256x32x32x32x3xf32>, tensor<3x3x3x3x16xf32>) -> tensor<256x32x32x32x16xf32> func.return %0 : tensor<256x32x32x32x16xf32> } // ----- func.func @testConv2D(%arg0: tensor<256x32x3xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<256x32x32x16xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
// CHECK-LABEL: func @conv2d_unranked_input func.func @conv2d_unranked_input(%arg0: tensor<*xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<*xf32> { // CHECK: "tf.Conv2D" // CHECK-SAME: -> tensor<?x?x?x16xf32> %0 = "tf.Conv2D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1, 1, 1]} : (tensor<*xf32>, tensor<3x3x3x16xf32>) -> tensor<*xf32> func.return %0 : tensor<*xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0)