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Results 1 - 10 of 11 for 8x1024xf32 (0.14 sec)

  1. tensorflow/compiler/mlir/tf2xla/api/v2/testdata/func_with_dead_ops.mlir

          %17 = "tf.Concat"(%cst_1, %16#5, %16#15, %16#25, %16#35) : (tensor<i32>, tensor<32x1024xf32>, tensor<32x1024xf32>, tensor<32x1024xf32>, tensor<32x1024xf32>) -> tensor<128x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 13 23:22:50 UTC 2024
    - 15.3K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir

        %1 = "tf.Identity"(%0#3) {device = ""} : (tensor<1x1024xf32>) -> tensor<1x1024xf32>
        func.return %1 : tensor<1x1024xf32>
      }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 42K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/const-fold.mlir

      func.return %0 : tensor<1024xf32>
    
      // 1.0 * 2.0 * 512 + 4.0 = 1028.0
      // CHECK: %[[CST:.*]] = arith.constant dense<1.028000e+03> : tensor<1024xf32>
      // CHECK:  return %[[CST]]
    }
    
    // CHECK-LABEL: @ConstantFoldFullyConnectedNoBias
    func.func @ConstantFoldFullyConnectedNoBias() -> tensor<1024xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 45.8K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc

    constexpr absl::string_view kModuleStatic = R"mlir(
      module {
        func.func @main(%arg0: tensor<1x1024xf32>, %arg1: tensor<1024x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} {
          %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [] : (tensor<1x1024xf32>, tensor<1024x3xf32>) -> tensor<1x3xf32>
          return %0 : tensor<1x3xf32>
        }
      }
    )mlir";
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 22.9K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir

        %1 = stablehlo.constant dense<-1.280000e+02> : tensor<1x1024xf32>
        %2 = stablehlo.constant dense<0.003921567> : tensor<1x1024xf32>
        %3 = stablehlo.divide %arg0, %2 : tensor<1x1024xf32>
        %4 = stablehlo.add %3, %1 : tensor<1x1024xf32>
        %5 = "tf.Identity"(%4) {device = ""} : (tensor<1x1024xf32>) -> tensor<1x1024xf32>
        return %5 : tensor<1x1024xf32>
      }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 39.8K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/tpu_sharding_identification.mlir

      }, {
        ^bb0(%arg2: tensor<i32>, %arg3: tensor<128x1024xf32>):
          %1 = "tf.XlaSharding"(%arg3) <{_XlaSharding = "\0A\0B\0C", sharding = "\0A\0B\0C"}> {unspecified_dims = []} : (tensor<128x1024xf32>) -> tensor<128x1024xf32>
          %2 = "tf.Square"(%1) : (tensor<128x1024xf32>) -> tensor<128x1024xf32>
          "tf.Yield"(%arg2, %2) : (tensor<i32>, tensor<128x1024xf32>) -> ()
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Feb 20 19:07:52 UTC 2024
    - 47.5K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir

        %19 = stablehlo.convert %18 : (tensor<8x16x4xi32>) -> tensor<8x16x4xf32>
        %20 = stablehlo.broadcast_in_dim %9, dims = [0, 1, 2] : (tensor<1x1x1xf32>) -> tensor<8x16x4xf32>
        %21 = stablehlo.multiply %19, %20 : tensor<8x16x4xf32>  // * s1 s2
        %22 = call @uniform_quantize_1(%21, %7, %8) : (tensor<8x16x4xf32>, tensor<1x1x1xf32>, tensor<1x1x1xi8>) -> tensor<8x16x4xi8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir

    // CHECK: %[[v1:.*]] = "tf.BatchMatMulV2"(%arg0, %0) <{adj_x = false, adj_y = false}> : (tensor<?x?x1024xf32>, tensor<1024x1024xf32>) -> tensor<?x?x1024xf32>
    // CHECK: %[[v2:.*]] = "tf.Shape"(%arg0) : (tensor<?x?x1024xf32>) -> tensor<3xi32>
    // CHECK: %[[v3:.*]] = "tf.Gather"(%2, %[[cst_1]]) <{validate_indices = true}> : (tensor<3xi32>, tensor<2xi32>) -> tensor<2xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 25.9K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/quantization/common/lift_as_function_call_test.cc

      module {
        func.func private @composite_dot_general_fn_1(%arg0: tensor<1x1024xf32>, %arg1: tensor<1024x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module, tf_quant.composite_function} {
          %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x1024xf32>, tensor<1024x3xf32>) -> tensor<1x3xf32>
          return %0 : tensor<1x3xf32>
        }
      }
    )mlir";
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.2K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc

      %0 = "tf.MatMul"(%input, %filter_new) {
      } : (tensor<8x9xf32>, tensor<9x10xf32>) -> tensor<8x10xf32>
      return %0 : tensor<8x10xf32>
    })mlir";
      constexpr absl::string_view kProgram = R"mlir(
    func.func @main(%input: tensor<8x9xf32>, %filter: tensor<9x10xi8>) -> tensor<8x10xf32> {
      %filter_scale = "tf.Const"() { value = dense<0.0235> : tensor<f32> } : ()
      -> tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 03 01:03:21 UTC 2024
    - 35.8K bytes
    - Viewed (0)
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