Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 2 of 2 for merge_outputs (0.1 sec)

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

    %arg26, %arg27, %arg28, %arg29, %arg30, %arg31, %arg32, %arg33, %arg34, %arg35, %arg36, %arg37, %arg38, %arg39, %arg40, %arg41, %arg42, %arg43, %arg44, %arg45, %arg46, %arg47) <{cell_clip = 1.000000e+00 : f32, fused_activation_function = "NONE", merge_outputs = true, time_major = false}> : (tensor<?x?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>,...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/ir/tfl_ops.td

        ConfinedAttr<DefaultValuedOptionalAttr<F32Attr, "0.0f">, [TFL_FloatNonNegative]>:$cell_clip,
        ConfinedAttr<DefaultValuedOptionalAttr<F32Attr, "0.0f">, [TFL_FloatNonNegative]>:$proj_clip,
        BoolAttr:$merge_outputs,
        BoolAttr:$time_major,
        // Used in post-training dynamic range quantization. If the value is true,
        // input activations are asymmetrically quantized.
        OptionalAttr<BoolAttr>:$asymmetric_quantize_inputs
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
Back to top