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Results 1 - 10 of 20 for 10x16x2xf32 (0.21 sec)

  1. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

      // CHECK: [[RESHAPE:%.*]] = mhlo.reshape [[SLICE]] : (tensor<2x16x2xf32>) -> tensor<2x16x2xf32>
      %0 = "tf.StridedSlice"(%input, %begin, %end, %strides) {Index = i32, T = f32} : (tensor<10x16x2xf32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<2x16x2xf32>
      // CHECK: return [[RESHAPE]] : tensor<2x16x2xf32>
      func.return %0 : tensor<2x16x2xf32>
    }
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo.mlir

    module {
    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    }
    
    //CHECK: module attributes
    //CHECK-SAME: keep_stablehlo_constant = "true"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.2K bytes
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  3. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/unwrap_xla_call_module_op.mlir

        %0 = stablehlo.dot_general %arg0, %arg1, batching_dims = [0] x [0], contracting_dims = [2] x [1] {mhlo.frontend_attributes = {grad_x = "false", grad_y = "false"}} : (tensor<10x1x1024xf32>, tensor<10x1024x3xf32>) -> tensor<10x1x3xf32>
        return %0 : tensor<10x1x3xf32>
      }
      // CHECK: %[[DOT:.*]] = stablehlo.dot_general
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 3.7K bytes
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  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver_with_skipping.mlir

        %output_0, %min_1, %max_2, %histogram_3 = "tf.CustomAggregator"(%0) <{calibration_method = 1 : i32, id = "keeping_id", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32}> : (tensor<10x1x3xf32>) -> (tensor<10x1x3xf32>, tensor<f32>, tensor<f32>, tensor<0xi64>)
        return %output_0 : tensor<10x1x3xf32>
      }
      // CHECK-LABEL: @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 06:31:57 UTC 2024
    - 6.3K bytes
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  5. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-inplaceupdate.mlir

    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    
    }
    
    // CHECK-LABEL: @tfInplaceUpdate
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Dec 16 05:09:09 UTC 2022
    - 993 bytes
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  6. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-tf-quantize.mlir

    module {
    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    }
    
    //CHECK: module {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.1K bytes
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  7. tensorflow/compiler/mlir/quantization/tensorflow/tests/cast_bf16_ops_to_f32.mlir

      %2 = "tf.Cast"(%1) {Truncate = false} : (tensor<1x1x2xbf16>) -> tensor<1x1x2xf32>
      %3 = "tf.IdentityN"(%2) {device = ""} : (tensor<1x1x2xf32>) -> tensor<1x1x2xf32>
      return %3 : tensor<1x1x2xf32>
    }
    
    // CHECK: func @cast_bf16_batch_matmul_v2_to_fp32
    // CHECK-DAG: %[[cst:.*]] = "tf.Const"() <{value = dense<{{.*}}> : tensor<10x2xf32>}> : () -> tensor<10x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 8.4K bytes
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  8. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir

        %output_0, %min_1, %max_2, %histogram_3 = "tf.CustomAggregator"(%0) <{calibration_method = 1 : i32, id = "1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32}> : (tensor<10x1x3xf32>) -> (tensor<10x1x3xf32>, tensor<f32>, tensor<f32>, tensor<0xi64>)
        return %output_0 : tensor<10x1x3xf32>
      }
      // CHECK-LABEL: @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 01:09:50 UTC 2024
    - 24.3K bytes
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  9. tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir

        %1 = stablehlo.maximum %0, %cst : tensor<10x1x3xf32>
        return %1 : tensor<10x1x3xf32>
      }
    }
    
    // -----
    
    module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1836 : i32}, tf_saved_model.semantics} {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 32.1K bytes
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  10. tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir

      // CHECK:  %[[MUL3:.*]] = "tf.Mul"(%[[MEAN]], %[[MUL1]]) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
      // CHECK:  %[[SUB:.*]] = "tf.Sub"(%arg2, %[[MUL3]]) : (tensor<2xf32>, tensor<2xf32>) -> tensor<2xf32>
      // CHECK:  %[[ADD0:.*]] = "tf.Add"(%[[MUL2]], %[[SUB]]) : (tensor<1x1x6x2xf32>, tensor<2xf32>) -> tensor<1x1x6x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
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