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Results 1 - 3 of 3 for FLOAT64 (0.18 sec)

  1. src/cmd/compile/internal/ssa/rewriteARM64.go

    	// result: (FMOVDfpgp <t> (VUADDLV <typ.Float64> (VCNT <typ.Float64> (FMOVDgpfp <typ.Float64> (ZeroExt16to64 x)))))
    	for {
    		t := v.Type
    		x := v_0
    		v.reset(OpARM64FMOVDfpgp)
    		v.Type = t
    		v0 := b.NewValue0(v.Pos, OpARM64VUADDLV, typ.Float64)
    		v1 := b.NewValue0(v.Pos, OpARM64VCNT, typ.Float64)
    		v2 := b.NewValue0(v.Pos, OpARM64FMOVDgpfp, typ.Float64)
    		v3 := b.NewValue0(v.Pos, OpZeroExt16to64, typ.UInt64)
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu May 23 15:49:20 UTC 2024
    - 608.6K bytes
    - Viewed (0)
  2. RELEASE.md

            probably silently use `float32` in TensorFlow2, and a warning will be
            issued that starts with Layer "layer-name" is casting an input tensor
            from dtype float64 to the layer's dtype of float32. To fix, either set
            the default dtype to float64 with
            `tf.keras.backend.set_floatx('float64')`, or pass `dtype='float64'` to
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 730.3K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

        Arg<TF_Int32Tensor, [{int32 `Tensor`.}]>:$arr,
        Arg<TF_Int32Tensor, [{non-negative int32 scalar `Tensor`.}]>:$size,
        Arg<TensorOf<[TF_Float32, TF_Float64, TF_Int32, TF_Int64]>, [{is an int32, int64, float32, or float64 `Tensor` with the same
    shape as `arr`, or a length-0 `Tensor`, in which case it acts as all weights
    equal to 1.}]>:$weights
      );
    
      let results = (outs
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
    - Viewed (0)
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