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Results 41 - 50 of 135 for 2x3xf32 (0.14 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/basic_v1.py

    # CHECK-NEXT: [[R0:%.*]] = "tf.ReadVariableOp"([[ARG1]]) {{{.*}}} : (tensor<!tf_type.resource<tensor<1x3xf32>>>) -> tensor<1x3xf32>
    # CHECK-NEXT: [[R1:%.*]] = "tf.MatMul"([[ARG0]], [[R0]]) <{{{.*}}}> {device = ""} : (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
    - 2.7K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir

          _collective_manager_ids = [], device = ""
        } : (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
        %3 = "tf.PartitionedCall"(%2, %1) <{
          config = "", config_proto = "", executor_type = "", f = @some_other_func
        }> {
          _collective_manager_ids = [], device = ""
        } : (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
        return %3 : tensor<3x3xf32>
      }
      // CHECK: func.func @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 39.8K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/tests/device_assignment.mlir

    func.func @device_test(%arg0: tensor<3x1xf32>) -> (tensor<3x3xf32>) {
    
      // CHECK: device = "gpu"
      %0 = "tf.Const"() {value = dense<[[1.0, 2.0, 3.0]]> : tensor<1x3xf32>} : () -> tensor<1x3xf32>
      // CHECK: device = "gpu"
      %1 = "tf.MatMul"(%arg0, %0) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32>
      // CHECK: device = "cpu"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 05:47:26 UTC 2022
    - 924 bytes
    - Viewed (0)
  4. 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)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir

    func.func @main(%arg0: tensor<1x4xf32>) -> tensor<1x3xf32> {
      %0 = stablehlo.constant dense<1.0> : tensor<4x3xf32>
      %1 = stablehlo.dot_general %arg0, %0, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
      return %1 : tensor<1x3xf32>
    }
    // CHECK: @main(%[[ARG_0:.+]]: tensor<1x4xf32>) -> tensor<1x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 5.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/basic.mlir

      // CHECK-NEXT: [[r1:%.*]] = tfrt_fallback_async.executeop {{.*}} "tf.BiasAdd"([[r0]], [[result]])
      %3 = "tf.BiasAdd"(%2, %0) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], data_format = "NHWC", device = "/device:CPU:0"} : (tensor<3x3xf32>, tensor<3xf32>) -> tensor<3x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 00:18:59 UTC 2024
    - 3.9K 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/common/attrs_and_constraints_test.cc

          %2 = "tf.XlaCallModule"(%arg0, %1, %0) <{Sout = [#tf_type.shape<?x2>], module = "", version = 9 : i64}> {_original_entry_function = "composite_fn_1"} : (tensor<?x2xf32>, tensor<2x2xf32>, tensor<2xf32>) -> tensor<?x2xf32>
          return %2 : tensor<?x2xf32>
        }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 22.9K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/convert_func_to_bfloat16.mlir

    // CHECK-LABEL: @add_f32(%arg0: tensor<3x3xbf16>, %arg1: tensor<3x3xbf16>) -> tensor<3x3xbf16>
    func.func @add_f32(%arg0: tensor<3x3xf32>, %arg1: tensor<3x3xf32>) -> tensor<3x3xf32> {
      // CHECK-NOT: f32
      // CHECK: stablehlo.add
      %0 = stablehlo.add %arg0, %arg1: (tensor<3x3xf32>, tensor<3x3xf32>) -> tensor<3x3xf32>
      return %0 : tensor<3x3xf32>
    }
    
    // -----
    
    // CHECK-LABEL: @add_f64(%arg0: tensor<3x3xbf16>, %arg1: tensor<3x3xbf16>) -> tensor<3x3xbf16>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/device_conversion.mlir

      func.return %2 : tensor<3x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 00:18:59 UTC 2024
    - 645 bytes
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