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Results 41 - 50 of 93 for 10x3xf32 (0.12 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/device_assignment_by_func_attr.mlir

      // CHECK: device = "cpu"
      %2 = "tf.Relu"(%1) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "cpu"} : (tensor<3x3xf32>) -> tensor<3x3xf32>
      // CHECK: device = "xpu"
      %3 = "tf.Relu"(%2) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"]} : (tensor<3x3xf32>) -> tensor<3x3xf32>
      func.return %3 : tensor<3x3xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 10 00:30:05 UTC 2022
    - 1.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/stablehlo/cc/report_test.cc

          return %1 : tensor<1x3xf32>
        }
    
        func.func private @composite_dot_general_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> {
          %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
          return %0 : tensor<1x3xf32>
        }
      )mlir";
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 10:10:34 UTC 2024
    - 18.5K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir

        return %1 : tensor<1x3xf32>
      }
    
      func.func private @composite_dot_general_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} {
        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
        return %0 : tensor<1x3xf32>
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 9.4K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir

        return %2 : tensor<1x3xf32>
      }
    
      func.func private @composite_dot_general_fn(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} {
        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
        return %0 : tensor<1x3xf32>
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 4.8K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/fallback.mlir

      %1 = "tf.MatMul"(%arg0, %0) {T = f32, device = "/device:CPU:0", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32>
      func.return %1 : tensor<3x3xf32>
    }
    
    // CHECK-LABEL: func @gpu_device
    func.func @gpu_device(%arg0: tensor<3x1xf32>, %arg1: tensor<!tf_type.resource<tensor<1x3xf32>>>) -> tensor<3x3xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 00:18:59 UTC 2024
    - 9.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tfrt/tests/ifrt/sink_variable_as_named_array.mlir

        return %result : tensor<1x1xf32>
      }
    }
    
    // -----
    // Variable tensor for host can still be used.
    //
    // CHECK-LABEL:  func.func @serving_default(%arg0: tensor<1x3xf32>) -> (tensor<1x1xf32>, tensor<1x1xf32>) {
    // CHECK:  "tf.VarHandleOp"
    // CHECK-NOT:  [[VARIABLE:%.*]] = "tf.ReadVariableOp"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 15:33:17 UTC 2024
    - 5.3K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/remove_init_variable_v1.py

    # CHECK-NEXT: [[R0:%.*]] = "tf.ReadVariableOp"([[ARG1]]) {{{.*}}} : (tensor<!tf_type.resource<tensor<1x3xf32>>>) -> tensor<1x3xf32>
    # CHECK-NEXT: [[R1:%.*]] = "tf.MatMul"([[ARG0]], [[R0]]) <{{{.*}}}> {{{.*}}} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32>
    # CHECK-NEXT: return [[R1]] : tensor<3x3xf32>
    
    
    def Test():
    
      x = tf.constant([[1.0], [1.0], [1.0]])
      y = tf.compat.v1.get_variable(
          name='y',
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Oct 31 08:49:35 UTC 2023
    - 2.8K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/quantization/tensorflow/tests/add_dump_tensor_op_stablehlo.mlir

        %3 = stablehlo.concatenate %2, %1, dim = 0 : (tensor<1x3xf32>, tensor<1x3xf32>) -> tensor<2x3xf32>
        return %3 : tensor<2x3xf32>
      }
      func.func private @composite_dot_general_fn_1(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module, tf_quant.composite_function} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 22:55:22 UTC 2024
    - 18K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tfrt/tests/hoist_invariant_ops.mlir

      %1 = "tf.ReadVariableOp"(%0) {device = "/device:CPU:0"} : (tensor<!tf_type.resource<tensor<1x3xf32>>>) -> tensor<1x3xf32>
      %2 = "tf.AddV2"(%arg0, %1) {device = "/device:CPU:0"} : (tensor<1x3xf32>, tensor<1x3xf32>) -> tensor<1x3xf32>
      %3 = "tf.Identity"(%2) {device = "/device:CPU:0"} : (tensor<1x3xf32>) -> tensor<1x3xf32>
      func.return %3 : tensor<1x3xf32>
    }
    
    // CHECK-LABEL: func @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Apr 01 23:54:14 UTC 2024
    - 18.3K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir

        "vhlo.return_v1"(%lhs) : (tensor<f32>) -> ()
      }): (tensor<200x100x300xf32>, tensor<10x2xi32>, tensor<10x300xf32>) ->
          tensor<200x100x300xf32>
      func.return %0 : tensor<200x100x300xf32>
    }
    
    // CHECK-LABEL: func.func private @scatter(%arg0: tensor<200x100x300xf32>, %arg1: tensor<10x2xi32>, %arg2: tensor<10x300xf32>) -> tensor<200x100x300xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 14 19:15:40 UTC 2024
    - 31.9K bytes
    - Viewed (0)
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