- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 29 for _kernel (0.26 sec)
-
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
y_shape = [v if v is not None else n for v in shapes[1]] class MatmulModel(module.Module): def __init__(self, bias: Optional[core.Tensor]): self._bias = bias self._kernel = np.random.uniform(size=y_shape).astype('f4') self._min = (-0.8, -0.8, -0.9) self._max = (0.9, 0.9, 1.0) @def_function.function( input_signature=[
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/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
op->getResult(0)); return op->getResult(0).getType().cast<TensorType>().clone( new_result_quantized_type); } // Matches kernel dimension numbers, ranks of input and output and constant // kernel for legalization to TFLite convolution ops. LogicalResult MatchConvolutionFormat(stablehlo::ConvolutionOp op) { stablehlo::ConvDimensionNumbersAttr dimension_numbers =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
// Mirror the filter in the spatial dimensions. mlir::Value reverse_filter_in = conv_op.getRhs(); // If the kernel is with format anythoing other than HWOI, we // transpose it to [0,1,o,i] as the TF->TFL pass anticipates this and the // kernel format information will be lost once we legalize to TF if (!isKernelFormatHWOI(dnums)) { SmallVector<int64_t, 4> permutation;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
rewriter.getUnitAttr()); op.getBiasMutable().assign(none_value); return success(); } return failure(); } }; // Return true if the given Add operation has the CPU kernel supported shapes. bool VerifyAddOpShapeConstraints(AddOp op) { auto element_type = getElementTypeOrSelf(op.getOutput().getType()); // Allows F32, QI8, QUI8 and I32 outputs when the operands have valid shapes,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
src/debug/elf/elf.go
// bound to. DF_1_NODIRECT DynFlag1 = 0x00020000 // Reserved for internal use by the kernel runtime-linker. DF_1_IGNMULDEF DynFlag1 = 0x00040000 // Reserved for internal use by the kernel runtime-linker. DF_1_NOKSYMS DynFlag1 = 0x00080000 // Reserved for internal use by the kernel runtime-linker. DF_1_NOHDR DynFlag1 = 0x00100000
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 16 00:01:16 UTC 2024 - 134.6K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.4.md
gci-beta-55-8872-47-0: Date: Nov 11, 2016 Kernel: ChromiumOS-4.4 Kubernetes: v1.4.5 Docker: v1.11.2 Changelog (vs 55-8872-18-0) * Cherry-pick runc PR#608: Eliminate redundant parsing of mountinfo * Updated kubernetes to v1.4.5
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Dec 24 02:28:26 UTC 2020 - 133.5K bytes - Viewed (0) -
cluster/gce/gci/configure-helper.sh
# /sbin/crash_reporter which is more restrictive in saving crash dumps. So for # now, set a generic core_pattern that users can work with. echo "/core.%e.%p.%t" > /proc/sys/kernel/core_pattern } # secure_random generates a secure random string of bytes. This function accepts # a number of secure bytes desired and returns a base64 encoded string with at
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Mon Jun 10 22:07:47 UTC 2024 - 141.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
return op.emitOpError() << "kernel tensor argument is " << kernel_tensor_shape.size() << " which is invalid, since kernel tensor argument must has a " << "rank greater than 2.\n"; } if (input_tensor_shape.size() != kernel_tensor_shape.size()) { return op.emitOpError() << "both input tensor and kernel tensor must "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
); // TFLite kernel only supports up to 5D input including added axis. let hasVerifier = 1; let hasOptions = 1; let hasFolder = 1; } // If there is a change in supporting more types in the TFLite cast op kernel, // the While loop outline pass should be updated since it inserts cast op(s)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
pkg/kubelet/kubelet_pods.go
return 0, 0, fmt.Errorf("failed to get kernel version, unable to determine if feature %s can be supported : %w", features.UserNamespacesSupport, err) } if kernelVersion != nil && !kernelVersion.AtLeast(version.MustParseGeneric(utilkernel.UserNamespacesSupportKernelVersion)) { klog.InfoS("WARNING: the kernel version is incompatible with the feature gate, which needs as a minimum kernel version",
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Fri Jun 14 16:09:17 UTC 2024 - 101.2K bytes - Viewed (0)