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Results 11 - 20 of 93 for 10x3xf32 (0.18 sec)

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

        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x1024xf32>, tensor<1024x3xf32>) -> tensor<1x3xf32>
        %1 = stablehlo.add %0, %arg2 : 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
    - 39.8K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md

    For example, if we have the code
    
    ```mlir
      %0 = "tf.Const"() {value = dense<[[42.0]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %1 = "tf.Const"() {device = "", value = dense<[[42.0]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %2 = "tf.Const"() {device = "baz", value = dense<[[42.0]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
    ```
    
    then running this pass with 'default-device=foobar', we get:
    
    ```mlir
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Aug 02 02:26:39 UTC 2023
    - 96.4K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir

          time_major = false} : (
            tensor<1x2x3xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>, tensor<1x1xf32>,
            none, none, none,
            tensor<3xf32>, tensor<3xf32>, tensor<3xf32>, tensor<3xf32>,
            none, none,
            tensor<1x3xf32>, tensor<1x3xf32>,
            none, none, none, none) -> tensor<1x2x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.6K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir

        %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32>
        %1 = stablehlo.add %0, %arg2 : tensor<1x3xf32>
        return %1 : tensor<1x3xf32>
      }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 32.1K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/ops/stablehlo_op_quant_spec_test.cc

          %1 = "quantfork.qcast"(%0) {volatile} : (tensor<1x3xf32>) -> tensor<1x3x!quant.uniform<i8:f32, 0.13170163023705575:-1>>
          %2 = "quantfork.dcast"(%1) : (tensor<1x3x!quant.uniform<i8:f32, 0.13170163023705575:-1>>) -> tensor<1x3xf32>
          %3 = stablehlo.reshape %2 : (tensor<1x3xf32>) -> tensor<3x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 04 07:19:09 UTC 2024
    - 14.8K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

      // CHECK-SAME: ({{%.+}}: tensor<1x2x3xf32>)
      // CHECK-SAME: -> (tensor<1x8x3xf32>, tensor<1x8x3xf32>)
      func.func @while_shape_invariant_different_dims(%arg0: tensor<1x2x3xf32>) -> (tensor<1x8x3xf32>, tensor<1x8x3xf32>) {
        // CHECK: "tf.While"
        // CHECK-SAME: (tensor<1x2x3xf32>)
        // CHECK-SAME: -> tensor<1x8x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc

          %cst = stablehlo.constant dense<1.0> : tensor<1x3xf32>
          %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [] : (tensor<1x1024xf32>, tensor<1024x3xf32>) -> tensor<1x3xf32>
          %1 = stablehlo.subtract %cst, %0 : tensor<1x3xf32>
          %2 = stablehlo.add %0, %cst : tensor<1x3xf32>
          return %2 : 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/stablehlo/tests/compose-uniform-quantized-type.mlir

        %10 = stablehlo.dot_general %8, %9, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
        %11 = stablehlo.convert %3 : (tensor<1x3xi32>) -> tensor<1x3xf32>
        %12 = stablehlo.subtract %10, %11 : tensor<1x3xf32>  // q1 * q2 - z1 * q2
        %13 = stablehlo.multiply %12, %4 : tensor<1x3xf32>  // s1 * s2
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/optimize_op_order.mlir

    func.func @no_pushdown_multiple_outputs(%arg0: tensor<1000x2x!quant.uniform<i8:f32, 7.812500e-03>>) -> tensor<1000xf32> {
      %0 = "tfl.dequantize"(%arg0) : (tensor<1000x2x!quant.uniform<i8:f32, 7.812500e-03>>) -> tensor<1000x2xf32>
      %1:2 = "tfl.unpack"(%0) {axis = 1 : i32, num = 2 : i32} : (tensor<1000x2xf32>) -> (tensor<1000xf32>, tensor<1000xf32>)
      func.return %1#0 : tensor<1000xf32>
    
    // CHECK-NEXT: tfl.dequantize
    // CHECK-NEXT: tfl.unpack
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Apr 01 02:06:15 UTC 2022
    - 3.6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir

      func.return %0 : tensor<10x10xf32>
    }
    
    func.func @testTanh(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> {
      // CHECK: _arithmetic_count = 6400 : i64
      %0 = "tfl.tanh"(%arg0) : (tensor<10x10xf32>) -> tensor<10x10xf32>
      func.return %0 : tensor<10x10xf32>
    }
    
    func.func @testAddN(%arg0: tensor<10x10xf32>, %arg1: tensor<10x10xf32>, %arg2: tensor<10x10xf32>) -> tensor<10x10xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 14 04:58:17 UTC 2022
    - 7.7K bytes
    - Viewed (0)
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