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Results 1 - 2 of 2 for 1x1x1x3x4xi32 (0.13 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/fold_broadcast.mlir 

      %0 = mhlo.constant dense<[[[[0, 1, 2, 3]]]]> : tensor<1x1x1x4xi32>
  %1 = mhlo.constant dense<[[[[0, 1, 2, 3]], [[0, 1, 2, 3]]]]> : tensor<1x2x1x4xi32>
  %2 = "mhlo.broadcast_in_dim"(%0) <{broadcast_dimensions = dense<[0, 1, 2, 3]> : tensor<4xi64>}> : (tensor<1x1x1x4xi32>) -> tensor<1x2x1x4xi32>
  %3 = mhlo.multiply %1, %2 : tensor<1x2x1x4xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 4.1K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir 

    // CHECK-NOT: "tfl.batch_matmul"
func.func @BatchmatmulToReduceSumI32(%arg0: tensor<1x16384x257xi32>) -> (tensor<1x1x257xi32>) {
  %0 = arith.constant dense<1> : tensor<1x1x16384xi32>
  %1 = "tfl.batch_matmul"(%0, %arg0) {adj_x = false, adj_y = false} : (tensor<1x1x16384xi32>, tensor<1x16384x257xi32>) -> tensor<1x1x257xi32>
  func.return %1 : tensor<1x1x257xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9K bytes
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