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Results 11 - 20 of 33 for 8x128xf32 (0.13 sec)

  1. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

    }
    
    // CHECK-LABEL: softmax
    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[SOFTMAX_0:.*]] = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
    // CHECK: return %[[SOFTMAX_0]] : tensor<8x16xf32>
    }
    
    // CHECK-LABEL: conv2d_backprop_input_with_add
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
    - Viewed (0)
  2. 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)
  3. tensorflow/compiler/mlir/tensorflow/tests/replicate_tensor_list_init_ops.mlir

      %elem_1 = "tf._SomeOtherOp"() : () -> tensor<8x1xf32>
      %tl_set_item = "tf.TensorListSetItem"(%tl, %one, %elem_1) : (tensor<!tf_type.variant<tensor<?x1xf32>>>, tensor<i32>, tensor<8x1xf32>) -> tensor<!tf_type.variant<tensor<?x1xf32>>>
      func.return
    }
    
    // CHECK: no_while_region_op_empty_tensor_list
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Jan 22 17:28:34 UTC 2023
    - 8.2K bytes
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  4. 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)
  5. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_weight_only.mlir

      func.func @matmul(%arg0: tensor<2x12xf32>) -> (tensor<*xf32>) {
        %cst_0 = "tf.Const"() {value = dense<0.000000e+00> : tensor<12x2xf32>} : () -> tensor<12x2xf32>
        %1 = "tf.PartitionedCall"(%arg0, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_matmul_fn_1} : (tensor<2x12xf32>, tensor<12x2xf32>) -> tensor<*xf32>
        func.return %1: tensor<*xf32>
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 11.3K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir

    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[CUSTOM_0:.*]] = "tfl.custom"(%arg0) <{custom_code = "FlexSoftmax", custom_option = #tfl<const_bytes : "0x07536F66746D617800161207536F66746D61781A002A070A0154120230013200000221191414042801">}> : (tensor<8x16xf32>) -> tensor<8x16xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.4K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_drq.mlir

      func.func @matmul(%arg0: tensor<2x12xf32>) -> (tensor<*xf32>) {
        %cst_0 = "tf.Const"() {value = dense<0.000000e+00> : tensor<12x2xf32>} : () -> tensor<12x2xf32>
        %1 = "tf.PartitionedCall"(%arg0, %cst_0) {_tfl_quant_trait = "fully_quantizable", config = "", config_proto = "", executor_type = "", f = @composite_matmul_fn_1} : (tensor<2x12xf32>, tensor<12x2xf32>) -> tensor<*xf32>
        func.return %1: tensor<*xf32>
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 9.8K bytes
    - Viewed (0)
  8. 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)
  9. tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir

      func.return %1 : tensor<16x128xf32>
      // CHECK: return %0 : tensor<16x128xf32>
    }
    
    // CHECK-LABEL: FuseTransposeFCLhsToBatchMatmul
    func.func @FuseTransposeFCLhsToBatchMatmul(%arg0: tensor<1024x4xf32>, %arg1: tensor<8x1024xf32>, %arg2: tensor<4x256xf32>) -> tensor<8x256xf32> {
      %cst_0 = arith.constant dense<[1, 0]> : tensor<2xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/tests/tpu-dynamic-layout-pass.mlir

      %2:2 = "tf.IteratorGetNext"(%arg0) {device = "/device:CPU:0"} : (tensor<*x!tf_type.resource>) -> (tensor<128xf32>, tensor<128xf32>)
      %3:2 = "tf.IteratorGetNext"(%arg1) {device = "/device:CPU:0"} : (tensor<*x!tf_type.resource>) -> (tensor<128xf32>, tensor<128xf32>)
      // CHECK: "tf.TPUCompileSucceededAssert"(%[[COMPILE]]#0)
      "tf_device.launch"() ({
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:59:10 UTC 2023
    - 29.6K bytes
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