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Results 21 - 30 of 242 for f32 (0.02 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/optimize_graph.mlir

      %requant = stablehlo.uniform_quantize %conv : (tensor<1x3x4x2x!quant.uniform<i32:f32, 5.8949912267181218E-5>>) -> tensor<1x3x4x2x!quant.uniform<i8:f32, 0.045673100153605144:-62>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 2.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/tests/executor_tpuv1_island_inlining/executor_tpuv1_inline_tpu_island.mlir

            %1 = "tf.opB"() : () -> tensor<f32>
            tf_executor.yield %1 : tensor<f32>
          }
          tf_executor.fetch %outputs_0 : tensor<f32>
        }
        func.return %0 : tensor<f32>
      }
    // CHECK-LABEL: func @func2
      func.func @func2(%arg0: tensor<i1>) -> tensor<i1> {
        %0 = tf_executor.graph {
          %outputs, %control = tf_executor.island {
            %1 = "tf.opB"() : () -> tensor<f32>
            tf_executor.yield %1 : tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 25 11:03:04 UTC 2022
    - 2.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/optimize_op_order.mlir

      %w = "tfl.pseudo_qconst"() {qtype = tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>, value = dense<127> : tensor<12x2xi8>} : () -> tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>
      %dq_w = "tfl.dequantize"(%w) : (tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<12x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Apr 01 02:06:15 UTC 2022
    - 3.6K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_fake_quant_to_qdq.mlir

      %cst = "tf.Const"() {value = dense<-0.950868546> : tensor<f32>} : () -> tensor<f32>
      %cst_0 = "tf.Const"() {value = dense<9.951540e-01> : tensor<f32>} : () -> tensor<f32>
      %cst_1 = "tf.Const"() {value = dense<[-0.5, -0.4, -0.7]> : tensor<3xf32>} : () -> tensor<3xf32>
      %cst_2 = "tf.Const"() {value = dense<[0.5, 0.6, 0.3]> : tensor<3xf32>} : () -> tensor<3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 24 07:02:54 UTC 2022
    - 2.3K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir

      %4 = "tfl.reshape"(%3, %cst) : (tensor<1x112x112x32x!quant.uniform<u8:f32, 0.023528476789885875>>, tensor<2xi32>) -> tensor<1x401408x!quant.uniform<u8:f32, 0.023528476789885875>>
      %5 = "tfl.softmax"(%4) {beta = 1.000000e+00 : f32} : (tensor<1x401408x!quant.uniform<u8:f32, 0.023528476789885875>>) -> tensor<1x401408x!quant.uniform<u8:f32, 3.906250e-03>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.3K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/tf_executor_ops_location_roundtrip.mlir

    func.func @island_one_op_all_locs_same(%arg0: tensor<f32>) -> tensor<f32> {
      %0 = "tf_executor.graph"() ({
        %1:2 = "tf_executor.island"() ({
          %2 = "tf.Identity"(%arg0) : (tensor<f32>) -> tensor<f32> loc("identity@some_function")
          "tf_executor.yield"(%2) : (tensor<f32>) -> () loc("identity@some_function")
        }) : () -> (tensor<f32>, !tf_executor.control) loc("identity@some_function")
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 05 14:24:12 UTC 2023
    - 3.6K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/tests/executor_island_materialize_const.mlir

        %2:2 = tf_executor.island(%1#1) {
          %4 = "tf.opB"(%1#0) : (tensor<f32>) -> tensor<f32>
          tf_executor.yield %4 : tensor<f32>
        }
        tf_executor.fetch %2#0 : tensor<f32>
      }
      func.return %0 : tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Nov 04 14:07:37 UTC 2022
    - 854 bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/graph-as-function.mlir

    attributes {tf.entry_function = {inputs = "args_0,args_1,args_2,args_3", outputs = "rets_0_RetVal,rets_1_RetVal"}} {
      %graph:2 = tf_executor.graph {
        %0:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_FLOAT", value = dense<0.000000e+00> : tensor<f32>} : () -> tensor<f32> loc("const")
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 25 12:28:56 UTC 2022
    - 3.5K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/add.mlir

    // TUPLE-ARGS:         %[[ARG_TUPLE]] = (f32[], f32[]) parameter(0)
    // TUPLE-ARGS:         [[ARG0:%.*]] = f32[] get-tuple-element((f32[], f32[]) %[[ARG_TUPLE]]), index=0
    // TUPLE-ARGS:         [[ARG1:%.*]] = f32[] get-tuple-element((f32[], f32[]) %[[ARG_TUPLE]]), index=1
    // TUPLE-ARGS:         [[ADD:%.*]] = f32[] add(f32[] [[ARG0]], f32[] [[ARG1]])
    // TUPLE-ARGS:         ROOT %tuple.{{[0-9]+}} = (f32[]) tuple(f32[] [[ADD]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Mar 23 18:56:13 UTC 2022
    - 2.7K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/tests/group_by_dialect.mlir

    func.func @interleave(%arg0: f32) -> (f32, f32, f32) {
      %0 = "x.a"(%arg0) : (f32) -> f32
      %1 = "y.a"(%arg0) : (f32) -> f32
      %2 = "z.a"(%arg0) : (f32) -> f32
      %3 = "x.b"(%0) : (f32) -> f32
      %4 = "y.b"(%1) : (f32) -> f32
      %5 = "z.b"(%2) : (f32) -> f32
      %6 = "x.c"(%3) : (f32) -> f32
      %7 = "y.c"(%4) : (f32) -> f32
      %8 = "z.c"(%5) : (f32) -> f32
      func.return %6, %7, %8 : f32, f32, f32
    }
    
    // CHECK: func @interleave
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Sep 28 23:43:21 UTC 2022
    - 5.7K bytes
    - Viewed (0)
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