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Results 1 - 10 of 100 for float2 (0.4 sec)
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src/cmd/compile/internal/ssa/_gen/ARM64Ops.go
{name: "FMOVSconst", argLength: 0, reg: fp01, aux: "Float64", asm: "FMOVS", typ: "Float32", rematerializeable: true}, // auxint as 64-bit float, convert to 32-bit float {name: "FMOVDconst", argLength: 0, reg: fp01, aux: "Float64", asm: "FMOVD", typ: "Float64", rematerializeable: true}, // auxint as 64-bit float
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 15:49:20 UTC 2024 - 58.8K bytes - Viewed (0) -
src/math/big/float_test.go
opname rune op func(z, x, y *Float) *Float }{ {0, 0, 0, 0, '+', (*Float).Add}, {0, 1, 2, 3, '+', (*Float).Add}, {1, 2, 0, 2, '+', (*Float).Add}, {2, 0, 1, 1, '+', (*Float).Add}, {0, 0, 0, 0, '-', (*Float).Sub}, {0, 1, 2, -1, '-', (*Float).Sub}, {1, 2, 0, 2, '-', (*Float).Sub}, {2, 0, 1, -1, '-', (*Float).Sub}, {0, 0, 0, 0, '*', (*Float).Mul}, {0, 1, 2, 2, '*', (*Float).Mul},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 11 20:22:45 UTC 2024 - 51.9K bytes - Viewed (0) -
src/cmd/cgo/gcc.go
return []string{"-mabi=64", "-mhard-float"} } else if gomips64 == "softfloat" { return []string{"-mabi=64", "-msoft-float"} } case "mips", "mipsle": if gomips == "hardfloat" { return []string{"-mabi=32", "-mfp32", "-mhard-float", "-mno-odd-spreg"} } else if gomips == "softfloat" { return []string{"-mabi=32", "-msoft-float"} } case "loong64":
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 20 15:50:06 UTC 2024 - 97K bytes - Viewed (0) -
src/go/types/api_test.go
{`package e0; const _ = float32( 1e-200)`, `float32(1e-200)`, `float32`, `0`}, {`package e1; const _ = float32(-1e-200)`, `float32(-1e-200)`, `float32`, `0`}, {`package e2; const _ = float64( 1e-2000)`, `float64(1e-2000)`, `float64`, `0`}, {`package e3; const _ = float64(-1e-2000)`, `float64(-1e-2000)`, `float64`, `0`},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 94.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
) return inputs, outputs def _create_data_generator( self, input_key: str, shape: Sequence[int], minval: float = -1.0, maxval: float = 1.0, dtype: dtypes.DType = dtypes.float32, num_examples: int = 8, ) -> repr_dataset.RepresentativeDataset: """Creates a data generator to be used as representative dataset.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
src/fmt/fmt_test.go
{"%#v", []int32(nil), "[]int32(nil)"}, {"%#v", 1.2345678, "1.2345678"}, {"%#v", float32(1.2345678), "1.2345678"}, // Whole number floats are printed without decimals. See Issue 27634. {"%#v", 1.0, "1"}, {"%#v", 1000000.0, "1e+06"}, {"%#v", float32(1.0), "1"}, {"%#v", float32(1000000.0), "1e+06"}, // Only print []byte and []uint8 as type []byte if they appear at the top level.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:31:55 UTC 2024 - 58.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
rng.uniform(low=0.0, high=1.0, size=static_input_shape).astype( np.float32 ) ) def data_gen() -> repr_dataset.RepresentativeDataset: for _ in range(100): yield { 'input_tensor': rng.uniform( low=0.0, high=1.0, size=static_input_shape ).astype(np.float32) } dataset_path = self.create_tempfile('tfrecord').full_path
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
src/encoding/xml/marshal_test.go
Int int `xml:",attr"` Named int `xml:"int,attr"` Float float64 `xml:",attr"` Uint8 uint8 `xml:",attr"` Bool bool `xml:",attr"` Str string `xml:",attr"` Bytes []byte `xml:",attr"` } type AttrsTest struct { Attrs []Attr `xml:",any,attr"` Int int `xml:",attr"` Named int `xml:"int,attr"` Float float64 `xml:",attr"` Uint8 uint8 `xml:",attr"` Bool bool `xml:",attr"`
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Mar 08 18:46:41 UTC 2024 - 66K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
%2 = "tfl.add"(%arg0, %arg3) {tac.device = "GPU", fused_activation_function = "RELU6", tac.inference_type = "FLOAT"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %3 = "tfl.pack"(%1, %2) {tac.device = "CPU", tac.inference_type = "FLOAT", axis = 0 : i32, values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/c/kernels_test.cc
Tensor* output = GetOutput(0); EXPECT_EQ("Tensor<type: float shape: [2,3] values: [1 2 3][4 5 6]>", output->DebugString(100)); } REGISTER_OP("DoNothingOp") .Input("input1: float") .Input("input2: float") .Attr("NumInput3: int >= 0") .Input("input3: NumInput3 * float") .Output("output1: float") .Attr("SomeDataTypeAttr: type");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 50.4K bytes - Viewed (0)