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Results 11 - 20 of 98 for NP (0.03 sec)
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src/cmd/compile/internal/test/testdata/mergelocals/integration.go
type Pointery2 struct { p *Pointery2 x [1024]int } // This type and the following one will have the same size. type Vanilla struct { np uintptr x [1024]int } type Vanilla2 struct { np uintptr x [1023]int y int } type Single struct { np uintptr x [1023]int } var G int //go:noinline func clobber() { G++ } func ABC(i, j int) int { r := 0
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 09 17:42:19 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm_test.py
statistics = calib_stats_pb2.CalibrationStatistics() statistics.histogram_statistics.lower_bound = 0.0 statistics.histogram_statistics.bin_width = 1.0 hist_freq = np.zeros(501, dtype=np.int32) # Advanced calibration methods that use histograms detect outliers, so they # don't use the outliers as min/max values. hist_freq[0] = 1 hist_freq[-1] = 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
self.embedding_w = np.random.randn(1024, 3, 4, 3).astype('f4') self.embedding_w = np.minimum(np.maximum(self.embedding_w, -4), 4) self.conv_filters = np.random.uniform( low=-10, high=10, size=filter_shape ).astype('f4') second_conv_filter_shape = (3, 3, filter_shape[-1], 1) self.second_conv_filters = np.random.uniform(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
first_mid = self._lower_bound + self._bin_width / 2 last_mid = first_mid + (self._num_bins - 1) * self._bin_width self._hist_mids = np.linspace(first_mid, last_mid, self._num_bins) def _get_dequantized_hist_mids_after_quantize( self, quant_min: float, quant_max: float ) -> np.ndarray: """Quantizes and dequantizes hist_mids using quant_min and quant_max.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 14.7K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/telemetry/internal/counter/parse.go
} f := &File{ Meta: make(map[string]string), Count: make(map[string]uint64), } np := round(len(hdrPrefix), 4) hdrLen := *(*uint32)(unsafe.Pointer(&data[np])) if hdrLen > pageSize { return corrupt() } meta := data[np+4 : hdrLen] if i := bytes.IndexByte(meta, 0); i >= 0 { meta = meta[:i] } m := &mappedFile{ meta: string(meta), hdrLen: hdrLen,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 14:38:01 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
self.filters_0 = np.random.uniform( low=-1.0, high=1.0, size=(4, 3) ).astype('f4') self.bias_0 = np.random.uniform(low=-1.0, high=1.0, size=(3,)).astype( 'f4' ) self.filters_1 = np.random.uniform( low=-1.0, high=1.0, size=(4, 3) ).astype('f4') self.bias_1 = np.random.uniform(low=-1.0, high=1.0, size=(3,)).astype(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/concurrency_test.py
return {'output': res} def data_gen(): for _ in range(255): yield { 'x': ops.convert_to_tensor( np.random.uniform(size=(10)).astype('f4') ), 'y': ops.convert_to_tensor( np.random.uniform(size=(10)).astype('f4') ), } root = ModelWithAdd() temp_path = self.create_tempdir().full_path
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 11 00:47:05 UTC 2023 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/stablehlo_quantizer_odml_oss.ipynb
"\n", "def calibration_dataset():\n", " rng = np.random.default_rng(seed=1235)\n", " for _ in range(2):\n", " yield {\n", " 'lhs_operand': rng.uniform(low=-1.0, high=1.0, size=input_shape).astype(\n", " np.float32\n", " )\n", " }\n",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 12 03:40:43 UTC 2024 - 5.4K bytes - Viewed (0) -
src/cmd/compile/internal/typecheck/typecheck.go
// observable side effects, and keeping it in place allows better escape analysis. if !ir.Any(*np, func(n ir.Node) bool { return n.Op() != ir.ONEW && callOrChan(n) }) { return } tmp := TempAt(base.Pos, ir.CurFunc, (*np).Type()) as := ir.NewAssignStmt(base.Pos, tmp, *np) as.PtrInit().Append(Stmt(ir.NewDecl(n.Pos(), ir.ODCL, tmp))) *np = tmp n.PtrInit().Append(Stmt(as)) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 20 19:08:34 UTC 2024 - 30.5K bytes - Viewed (0) -
test/typeparam/graph.go
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Mar 26 19:58:28 UTC 2024 - 5.7K bytes - Viewed (0)