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Results 1 - 3 of 3 for 1x1x384x512xf32 (0.15 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir 

    // CHECK:           %[[VAL_9:.*]] = "tfl.reshape"(%[[VAL_8]], %[[VAL_5]]) : (tensor<1x1x384x512xf32>, tensor<2xi32>) -> tensor<384x512xf32>
// CHECK:           return %[[VAL_9]] : tensor<384x512xf32>
// CHECK:         }

// -----
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.6K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/experimental/tac/tests/get-alternative-subgraph.mlir 

    // CHECK:           %[[VAL_14:.*]] = "tfl.reshape"(%[[VAL_13]], %[[VAL_8]]) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<1x1x384x128xf32>, tensor<2xi32>) -> tensor<384x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.1K bytes
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir 

    func.func @NotQuantizeBatchMatmulWithConstAct(%arg0: tensor<1x1x3x512xf32>) -> tensor<1x1x12x3xf32> {
  %0 = "quantfork.stats"(%arg0) {layerStats = dense<[0.000000e+00, 1.000000e+01]> : tensor<2xf32>} : (tensor<1x1x3x512xf32>) -> tensor<1x1x3x512xf32>
  %w = arith.constant dense<127.0> : tensor<1x1x12x512xf32>
  %mm = "tfl.batch_matmul"(%w, %0) {adj_x = false, adj_y = true} : (tensor<1x1x12x512xf32>, tensor<1x1x3x512xf32>) -> tensor<1x1x12x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 38.2K bytes
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