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Results 1 - 2 of 2 for 128x256xf32 (0.27 sec)

  1. tensorflow/compiler/mlir/lite/tests/post-quantize.mlir

    // CHECK-NEXT:  %[[cst:.*]] = arith.constant dense<1> : tensor<i32>
      %cst = arith.constant dense<1> : tensor<i32>
    // CHECK-NEXT:  %[[softmax:.*]] = "tfl.softmax"(%arg0) <{beta = 1.000000e+00 : f32}> : (tensor<128x16xf32>) -> tensor<128x16xf32>
      %0 = "tfl.softmax"(%arg0) {beta = 1.000000e+00 : f32} : (tensor<128x16xf32>) -> tensor<128x16xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 19.9K bytes
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  2. tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir

        %0 = "tfl.batch_matmul"(%arg0, %cst_0) {adj_x = false, adj_y = false} : (tensor<1x256xf32>, tensor<256x256xi8>) -> tensor<1x256xf32>
        %1 = "tfl.batch_matmul"(%0, %cst_1) {adj_x = false, adj_y = false} : (tensor<1x256xf32>, tensor<256x256x!quant.uniform<i8:f32, 1.000000e+00>>) -> tensor<1x256xf32>
        %2:2 = "tfl.while"(%cst_2, %1) ({
        ^bb0(%arg1: tensor<i32>,  %arg2: tensor<1x256xf32>):
          %cst_3 = arith.constant dense<10> : tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.5K bytes
    - Viewed (0)
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