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Results 1 - 3 of 3 for 1x1x1x256xf32 (0.1 sec)

  1. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %1 = "tfl.mul"(%0, %cst_2) {fused_activation_function = "NONE"} : (tensor<1x8x8x256xf32>, tensor<1x1x1x256xf32>) -> tensor<1x8x8x256xf32>
      func.return %1 : tensor<1x8x8x256xf32>
    
    // CHECK-DAG: %[[CST_0:.*]] = arith.constant dense<2.800000e+00> : tensor<256x3x3x207xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir

    // CHECK:         %1 = "tf.XlaDynamicUpdateSlice"(%arg0, %arg1, %0) : (tensor<1x?x256xf32>, tensor<1x1x256xf32>, tensor<3xi32>) -> tensor<1x?x256xf32>
    // CHECK:         return %1 : tensor<1x?x256xf32>
    // CHECK:         }
    func.func @dynamic_update_slice_operand_has_dynamic_dim(%arg0: tensor<1x?x256xf32>, %arg1: tensor<1x1x256xf32>, %arg2: tensor<i32>, %arg3: tensor<i32>, %arg4: tensor<i32>) -> tensor<1x?x256xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
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  3. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

    }
    
    // -----
    
    // CHECK-LABEL: @conv2d_backprop_filter_grouped
    func.func @conv2d_backprop_filter_grouped(
        %input: tensor<1x2x2x2xf32>,
        %out_backprop: tensor<1x1x1x2xf32>
      ) -> tensor<2x2x1x2xf32> {
    
      // CHECK: mhlo.convolution(%arg0, %arg1)
      // CHECK-SAME:  batch_group_count = 2 : i64
      // CHECK-SAME:  feature_group_count = 1 : i64
    
    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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