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Results 1 - 10 of 18 for 1024x8xf32 (0.16 sec)

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

    tensor<1024xf32>, tensor<32x1024xf32>, tensor<1024x1xf32>, tensor<1024xf32>, tensor<1024x1xf32>, tensor<i64>, tensor<i32>, tensor<32x1024xf32>, tensor<i64>, tensor<i64>, tensor<1024xf32>, tensor<32x1024xf32>, tensor<1024x1xf32>, tensor<1024xf32>, tensor<1024x1xf32>, tensor<i64>, tensor<i32>, tensor<32x1024xf32>, tensor<i64>, tensor<i64>, tensor<1024xf32>, tensor<32x1024xf32>, tensor<1024x1xf32>, tensor<1024xf32>, tensor<1024x1xf32>, tensor<i64>, tensor<i32>, tensor<32x1024xf32>, tensor<i64>, tensor<i64>, tensor<1024xf32>,...
    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/lite/tests/optimize.mlir

      // CHECK: %[[BMM:.*]] = "tfl.batch_matmul"(%arg0, %arg1) <{adj_x = false, adj_y = false, asymmetric_quantize_inputs = false}>
      // CHECK-NOT: tfl.reshape
      // CHECK-NOT: tfl.transpose
      %2 = "tfl.batch_matmul"(%arg1, %1) {adj_x = true, adj_y = false, asymmetric_quantize_inputs = false} : (tensor<1024x16xf32>, tensor<1024x128xf32>) -> tensor<16x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir

    // CHECK-LABEL: FuseTransposeFCLhsToBatchMatmul
    func.func @FuseTransposeFCLhsToBatchMatmul(%arg0: tensor<1024x4xf32>, %arg1: tensor<8x1024xf32>, %arg2: tensor<4x256xf32>) -> tensor<8x256xf32> {
      %cst_0 = arith.constant dense<[1, 0]> : tensor<2xi32>
      %cst_1 = "tfl.no_value"() {value} : () -> none
      %0 = "tfl.transpose"(%arg0, %cst_0) : (tensor<1024x4xf32>, tensor<2xi32>) -> tensor<4x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/xla_call_module_to_call.mlir

        // CHECK: call @composite_dot_general_fn_1
        // CHECK-SAME: (tensor<1x1024xf32>, tensor<1024x3xf32>) -> tensor<1x3xf32>
        // CHECK-NOT: tf.XlaCallModule
        %0 = "tf.Const"() <{value = dense<0.5> : tensor<1024x3xf32>}> : () -> tensor<1024x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 04 20:02:00 UTC 2024
    - 1.4K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir

        %8:4 = "tf.CustomAggregator"(%7) {calibration_method = 1 : i32, id = "1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32} : (tensor<1024x3xf32>) -> (tensor<1024x3xf32>, tensor<f32>, tensor<f32>, tensor<*xi64>)
        %9 = stablehlo.add %8#0, %0 : tensor<1024x3xf32>
        return %9 : tensor<1024x3xf32>
      }
    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/quantization/stablehlo/tests/components/post_calibration_component.mlir

      return %2 : tensor<1x3xf32>
    }
    func.func private @composite_dot_general_fn_1(%arg0: tensor<1x1024xf32>, %arg1: tensor<1024x3xf32>) -> tensor<1x3xf32> attributes {_from_xla_call_module} {
      %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x1024xf32>, tensor<1024x3xf32>) -> tensor<1x3xf32>
      return %0 : tensor<1x3xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 6.7K bytes
    - Viewed (0)
  7. 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)
  8. 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)
  9. tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir

    // CHECK:           [[VAL_12:%.*]]:4 = "tf.SplitV"([[VAL_7]], [[VAL_10]], [[VAL_11]]) : (tensor<40x8xf32>, tensor<4xi32>, tensor<i32>) -> (tensor<10x8xf32>, tensor<10x8xf32>, tensor<10x8xf32>, tensor<10x8xf32>)
    // CHECK-DAG:       [[VAL_13:%.*]] = "tf.Const"() <{value = dense<10> : tensor<4xi32>}> : () -> tensor<4xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 122.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/argument-sharding-invalid.mlir

    module attributes {tf.versions = {producer = 179 : i32}} {
      func.func @main(%arg0: tensor<128x8xf32> {mhlo.sharding = "bad_sharding"}) {
        func.return
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 28 12:06:33 UTC 2022
    - 364 bytes
    - Viewed (0)
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