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Results 31 - 40 of 48 for numBits (0.17 sec)
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cmd/format-erasure.go
format.Erasure.Version = formatErasureVersionV3 format.Erasure.DistributionAlgo = formatErasureVersionV3DistributionAlgoV3 format.Erasure.Sets = make([][]string, numSets) for i := 0; i < numSets; i++ { format.Erasure.Sets[i] = make([]string, setLen) for j := 0; j < setLen; j++ { format.Erasure.Sets[i][j] = mustGetUUID() } } return format }
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 24 23:05:23 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
if (!IsLegalQuantSpecs(func)) { return true; } OpBuilder builder(func); bool is_signed = quant_specs_.IsSignedInferenceType(); IntegerAttr num_bits = builder.getI32IntegerAttr(quant_specs_.GetQuantizationTypeWidth()); BoolAttr narrow_range = builder.getBoolAttr(false); auto add_quantize_op = [&](Location loc, Type input_type, Block* block,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
return op.emitOpError("range is invalid: [" + Twine(std::to_string(rmin)) + "," + Twine(std::to_string(rmax)) + "]"); } int64_t num_bits = op.getNumBits(); if (num_bits < 2 || num_bits > 16) { return op.emitOpError( "requires num_bits to be between 2 and 16, inclusive"); } return success(); } //===----------------------------------------------------------------------===//
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/report/report.go
numValues[i] = v numUnit[i] = unit } numLabels[k] = append(numLabels[k], numValues...) numUnits[k] = append(numUnits[k], numUnit...) } } s.NumLabel = numLabels s.NumUnit = numUnits } // Remove label marking samples from the base profiles, so it does not appear // as a nodelet in the graph view. prof.RemoveLabel("pprof::base")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 37.5K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/profile/profile.go
} // numLabelsToString returns a string representation of a map // representing numeric labels. func numLabelsToString(numLabels map[string][]int64, numUnits map[string][]string) string { ls := []string{} for k, v := range numLabels { units := numUnits[k] var labelString string if len(units) == len(v) { values := make([]string, len(v)) for i, vv := range v {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 22.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
%0 = "tf.FakeQuantWithMinMaxVars"(%arg0, %arg1, %arg2) {min = 0.0 : f32, max = 1.0 : f32, num_bits = 5, narrow_range = true} : (tensor<8x8x8x8xf32>, tensor<f32>, tensor<f32>) -> tensor<8x8x8x8xf32> func.return %0 : tensor<8x8x8x8xf32> // CHECK-LABEL: fakeQuantVarsTrue // CHECK: "tf.FakeQuantWithMinMaxVars"(%arg0, %arg1, %arg2) <{narrow_range = true, num_bits = 5 : i64}> {max = 1.000000e+00 : f32, min = 0.000000e+00 : f32} }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver.cc
attr, it->second, /*symmetric=*/true, /*num_bits=*/8, is_signed_, /*narrow_range=*/true, legacy_float_scale_); } else { // per-tensor quantization weight final_type = GetUniformQuantizedTypeForWeight( attr, /*symmetric=*/is_weight && is_signed_, /*num_bits=*/8, is_signed_, /*narrow_range=*/is_weight, legacy_float_scale_); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 38.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
max=ops.convert_to_tensor(self._max[0]), num_bits=8, narrow_range=False, ) y = array_ops.fake_quant_with_min_max_vars( y, min=ops.convert_to_tensor(self._min[1]), max=ops.convert_to_tensor(self._max[1]), num_bits=8, narrow_range=False, ) out = math_ops.matmul(x, y)
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/c/eager/c_api.cc
if (h == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return -1; } int num_dims = -1; status->status = tensorflow::unwrap(h)->NumDims(&num_dims); return num_dims; } int64_t TFE_TensorHandleNumElements(TFE_TensorHandle* h, TF_Status* status) { if (h == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid handle");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 08:11:23 UTC 2024 - 44K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h
} else { quant_type = mlir::dyn_cast<quant::UniformQuantizedType>( quant::GetUniformQuantizedTypeForWeight( attr, /*symmetric=*/true, /*num_bits=*/tensor_property.number_of_bits, /*is_signed=*/true, /*narrow_range=*/true, quant_specs_.legacy_float_scale)); } if (!quant_type) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 28K bytes - Viewed (0)