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Results 1 - 10 of 218 for getWant (0.24 sec)
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pilot/pkg/security/authz/matcher/metadata_test.go
}, }, } if !cmp.Equal(actual, expect, protocmp.Transform()) { t.Errorf("want %s, got %s", expect.String(), actual.String()) } } func TestMetadataListMatcher(t *testing.T) { getWant := func(regex string) *matcher.MetadataMatcher { return &matcher.MetadataMatcher{ Filter: "istio_authn", Path: []*matcher.MetadataMatcher_PathSegment{ { Segment: &matcher.MetadataMatcher_PathSegment_Key{
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Mon Nov 20 22:15:12 UTC 2023 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/optimize.cc
for (int i = 0; i < low_pads.size(); ++i) { new_low_pads[i] = low_pads[i].getInt() + parent_low_pads[i].getInt(); new_high_pads[i] = high_pads[i].getInt() + parent_high_pads[i].getInt(); new_interior_pads[i] = interior_pads[i].getInt() + parent_interior_pads[i].getInt(); } // Replace pad_op with a new pad having new attributes, taking the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 26.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/tftext_utils.cc
const std::vector<int> kValidNumOfOutput = {1, 2, 3}; if (input_type.getRank() >= kValidNumOfOutput.size()) { return func.emitError() << "Unrecognized input rank: " << input_type.getRank(); } if (func.getNumResults() != kValidNumOfOutput[input_type.getRank()]) { return func.emitError() << "Expect " << kValidNumOfOutput[input_type.getRank()] << "output(s) when input has rank " << input_type.getRank();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
data_rank = then_tensor.getRank(); if (then_tensor.getRank() > 0) data_first_dim = then_tensor.getShape().front(); if (else_tensor.getRank() > 0) data_first_dim = std::max(else_tensor.getShape().front(), data_first_dim); } else if (then_has_rank) { data_rank = then_tensor.getRank(); if (then_tensor.getRank() > 0) data_first_dim = then_tensor.getShape().front();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
const int64_t dilation = get_int(dilations[dim]); rhs_dilations.push_back(dilation); const int64_t stride = get_int(strides[dim]); window_strides.push_back(stride); Value pad_low, pad_high; if (padding == tensorflow::Padding::EXPLICIT) { pad_low = get_const(get_int(explicit_paddings[2 * dim])); pad_high = get_const(get_int(explicit_paddings[2 * dim + 1]));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (1) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
if (!output_ty) return success(); int64_t expected_output_rank = std::max(x_ty.getRank(), y_ty.getRank()); if (output_ty.getRank() != expected_output_rank) { return op.emitOpError() << "found invalid output rank, expected " << expected_output_rank << " but got " << output_ty.getRank(); } // Check output batch dim with potential broadcasting.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_collective.cc
hlo::convertElementsAttr(group_assignment, builder.getIntegerType(64))); if (replica_groups.getType().getRank() != 2) { return op->emitOpError() << "group_assignment should have rank 2, got " << replica_groups.getType().getRank(); } return success(); } ChannelHandleAttr ConvertChannel(OpBuilder& builder, int64_t channel_id,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 16K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
} const int64_t rank = input_type.getRank(); IntegerAttr dim_int = ExtractSingleElementAsInteger(split_dim_attr); // "axis" operand could be a i64 tensor. Resolve it here. IntegerAttr dim_i32; if (failed(ConvertToI32Attr(dim_int, &dim_i32))) return failure(); int dim = dim_i32.getInt(); if (dim < 0) dim += rank;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/perception_ops_utils.cc
if (!image_type || !image_type.getElementType().isF32() || image_type.getRank() != 4) { return func_.emitWarning() << "Image should be a 4D float tensor"; } auto flow_type = mlir::dyn_cast_or_null<RankedTensorType>( func_.getFunctionType().getInput(1)); if (!flow_type || !flow_type.getElementType().isF32() || flow_type.getRank() != 4) { return func_.emitWarning() << "Flow should be a 4D float tensor";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_xla_attribute_utils.cc
for (int i : llvm::seq<int>(1, num_dims - 1)) { Value input_size_i = GetDimValue(builder, loc, input_shape_value, i); const int stride_i = mlir::cast<IntegerAttr>(strides[i]).getInt(); const int dilation_i = mlir::cast<IntegerAttr>(dilations[i]).getInt(); const int filter_i = filter_shape.getDimSize(i - 1); Value pad_i_low, pad_i_high; GetSamePaddingValues(builder, loc, input_size_i, filter_i, dilation_i,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 13.3K bytes - Viewed (0)