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Results 21 - 24 of 24 for unrepresentable (0.29 sec)
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src/go/types/stmt.go
return bad("no core type") case *Basic: if isString(typ) { return Typ[Int], universeRune, "", false, true // use 'rune' name } if isInteger(typ) { // untyped numeric constants may be representable as integer values if allowVersion != nil && !allowVersion(go1_22) { return bad("requires go1.22 or later") } return orig, nil, "", false, true } case *Array:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 30.6K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/_gen/genericOps.go
// See issue 36399 and 36400. // Encodings of +inf, -inf, and -0 are fine. {name: "Const32F", aux: "Float32"}, // value is math.Float64frombits(uint64(auxint)) and is exactly representable as float 32 {name: "Const64F", aux: "Float64"}, // value is math.Float64frombits(uint64(auxint)) {name: "ConstInterface"}, // nil interface {name: "ConstSlice"}, // nil slice
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 15:49:20 UTC 2024 - 42.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
This op determines the maximum scale_factor that would map the initial [input_min, input_max] range to a range that lies within the representable quantized range. It determines the scale from one of input_min and input_max, then updates the other one to maximize the representable range. e.g. * if the output is signed, num_bits = 8, [input_min, input_max] = [-10.0,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
`tf.GradientTape` inside a `tf.function`. * Changed the default step size in `gradient_checker_v2.compute_gradients` to be exactly representable as a binary floating point numbers. This avoids poluting gradient approximations needlessly, which is some cases leads to false negatives in op gradient tests.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)