Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 10 of 126 for func_20 (0.12 sec)

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

        %0 = func.call @func_0_GPU_FLOAT(%arg0, %arg1, %arg2) {tac.interface_name = "func_0"} : (tensor<1xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
        %1 = func.call @func_1_GPU_FLOAT(%arg0, %arg3) {tac.interface_name = "func_1"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
        %2 = func.call @func_2_CPU_FLOAT(%0, %1) {tac.interface_name = "func_2"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
        func.return %2 : tensor<2x1xf32>
      }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.1K bytes
    - Viewed (0)
  2. test/closure3.dir/main.go

    				c := 5
    				func(z int) { // ERROR "can inline main.func28.1.1" "can inline main.func28.main.func28.1.2" "can inline main.main.func28.func35.1" "can inline main.main.func28.main.main.func28.func35.func37"
    					a = a * x
    					b = b * y
    					c = c * z
    				}(10) // ERROR "inlining call to main.func28.1.1"
    				return a + c
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu Aug 17 19:36:29 UTC 2023
    - 8.3K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/experimental/tac/tests/pick-subgraphs.mlir

        func.return %2 : tensor<2x100xf32>
      }
      func.func @func_2_CPU_FLOAT(%arg0: tensor<100xf32>, %arg1: tensor<100xf32>) -> tensor<2x100xf32> attributes {tac.cost = 2.000000e+01 : f32, tac.device = "CPU", tac.inference_type = "FLOAT", tac.interface_name = "func_2"} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 24.3K bytes
    - Viewed (0)
  4. tensorflow/c/c_api_function_test.cc

      ASSERT_EQ(func_->record->fdef().signature().attr().size(), 2);
      EXPECT_EQ(func_->record->fdef().signature().attr(0).name(), "v1");
      EXPECT_EQ(func_->record->fdef().signature().attr(0).type(), "int");
      EXPECT_EQ(func_->record->fdef().signature().attr(1).name(), "v2");
      EXPECT_EQ(func_->record->fdef().signature().attr(1).type(), "int");
    }
    
    void NodeWithAttrHelper(TF_Graph* graph, TF_Status* s, const char* name,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jul 20 22:08:54 UTC 2023
    - 63.6K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir

    // CHECK:       return %0 : tensor<i32>
    // CHECK:     }
    // CHECK:     func.func private @func_0_CPU_FLOAT(%arg0: tensor<i32>) -> tensor<i32> attributes {tac.device = "CPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} {
    // CHECK:       %0 = "tfl.while"(%arg0) ({
    // CHECK:       ^bb0(%arg1: tensor<i32>):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 74.9K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir

    func.func @func_0_CPU(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> attributes {tac.device = "CPU", tac.interface_name = "func_0"} {
      // CHECK: tac.cost = 7.864320e+05
      %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU", tac.device = "CPU"} : (tensor<256x32x32x3xf32>, tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 05:29:10 UTC 2022
    - 5.7K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/experimental/tac/README.md

        %1 = call @func_1_GPU_FLOAT(%arg0, %arg3) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_1"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
        %2 = call @func_2_CPU_FLOAT(%0, %1) {tac.device = "CPU", tac.inference_type = "FLOAT", tac.interface_name = "func_2"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 29 18:32:13 UTC 2022
    - 11.6K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/experimental/tac/transforms/fold_constants_to_subgraph.cc

    // See the example below:
    //
    // In main:
    // %0 = tfl.const...
    // %1 = tfl.const...
    // %2 = call func_1(..., %0,...)
    // %3 = call func_2(..., %0, ..., %1...)
    // ...
    //
    // Then those consts will be copied into each function and replace their usage.
    // func_1:
    //   %0 = tfl.const...
    // func_2:
    //   %0 = tfl.const...
    //   %1 = tfl.const...
    class FoldConstantsToSubgraphPass
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 6.1K bytes
    - Viewed (0)
  9. test/func2.go

    Rob Pike <******@****.***> 1329622133 +1100
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Sun Feb 19 03:28:53 UTC 2012
    - 578 bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/experimental/tac/tests/compute-cost.mlir

    // CHECK: tac.cost = 7.864320e+05
    func.func @func_0_CPU(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> attributes {tac.device = "CPU", tac.interface_name = "func_0"} {
      %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU", tac.device = "CPU"} : (tensor<256x32x32x3xf32>, tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32>
      func.return %0 : tensor<256x32x32x3xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 05:29:10 UTC 2022
    - 4.1K bytes
    - Viewed (0)
Back to top