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Results 1 - 10 of 16 for 1024x128xf32 (0.16 sec)

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

    // CHECK-LABEL: FuseTransposeFCRhsToBatchMatmul
    func.func @FuseTransposeFCRhsToBatchMatmul(%arg0: tensor<16x1024xf32>, %arg1: tensor<1024x128xf32>, %arg2: none) -> tensor<16x128xf32> {
      %cst = arith.constant dense<[1, 0]> : tensor<2xi32>
      %0 = "tfl.transpose"(%arg1, %cst) : (tensor<1024x128xf32>, tensor<2xi32>) -> tensor<128x1024xf32>
      // CHECK: "tfl.batch_matmul"(%arg0, %arg1)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %split:2 = "tfl.split"(%cst_1, %dequant) {num_splits = 2 : i32} : (tensor<i32>, tensor<1024x256xf32>) -> (tensor<1024x128xf32>, tensor<1024x128xf32>)
      %0 = "tfl.transpose"(%split#0, %cst) : (tensor<1024x128xf32>, tensor<2xi32>) -> tensor<128x1024xf32>
      // CHECK: tfl.fully_connected
      // CHECK-NOT: tfl.batch_matmul
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir

        %cst_0 = "tf.Const"() {value = dense<2.000000e+00> : tensor<1024x2xf32>} : () -> tensor<1024x2xf32>
        %cst_1 = "tf.Const"() {value = dense<[2, 1024]> : tensor<2xi32>} : () -> tensor<2xi32>
        // Original identity preserved.
        %cst_identity = "tf.Identity"(%cst_0) {device = ""} : (tensor<1024x2xf32>) -> tensor<1024x2xf32>
        %0 = "tf.Reshape"(%cst_identity, %cst_1) : (tensor<1024x2xf32>, tensor<2xi32>) -> tensor<2x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 42K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tf2xla/api/v2/testdata/func_with_dead_ops.mlir

    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 13 23:22:50 UTC 2024
    - 15.3K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir

    // CHECK: %[[v0:.*]] = "tf.Reshape"(%arg1, %[[cst]]) : (tensor<1024x8x128xf32>, tensor<2xi64>) -> tensor<1024x1024xf32>
    // CHECK: %[[v1:.*]] = "tf.BatchMatMulV2"(%arg0, %0) <{adj_x = false, adj_y = false}> : (tensor<?x?x1024xf32>, tensor<1024x1024xf32>) -> tensor<?x?x1024xf32>
    // CHECK: %[[v2:.*]] = "tf.Shape"(%arg0) : (tensor<?x?x1024xf32>) -> tensor<3xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 25.9K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir

       "tfl.yield"(%4) : (tensor<128x128xf32>) -> ()
      }) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 8.8K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/quantize.mlir

       "tfl.yield"(%4) : (tensor<128x128xf32>) -> ()
      }) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 23:10:13 UTC 2024
    - 39.7K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir

        %1:4 = "tf.CustomAggregator"(%arg0) {calibration_method = 1 : i32, id = "0", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32} : (tensor<1024x1024xf32>) -> (tensor<1024x1024xf32>, tensor<f32>, tensor<f32>, tensor<*xi64>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 39.8K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir

       "tfl.yield"(%4) : (tensor<128x128xf32>) -> ()
      }) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir

      %4 = "tfl.relu"(%3) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<128x128xf32>) -> tensor<128x128xf32>
      %5 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<128x128xf32>} : () -> tensor<128x128xf32>
      %6 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<128xf32>} : () -> tensor<128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 74.9K bytes
    - Viewed (0)
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