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pkg/proxy/endpointschangetracker_test.go
Protocol: ptr.To(v1.ProtocolUDP), }} } complexAfter1_s1 := func(eps *discovery.EndpointSlice) { eps.Endpoints = []discovery.Endpoint{{ Addresses: []string{"1.1.1.1"}, }, { Addresses: []string{"1.1.1.11"}, }} eps.Ports = []discovery.EndpointPort{{ Name: ptr.To("p11"), Port: ptr.To[int32](11), Protocol: ptr.To(v1.ProtocolUDP), }} }
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Dec 21 14:44:08 UTC 2023 - 79.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
%5 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<?x28x28x1xf32>, tensor<3x3x1x16xf32>)...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// Unsupported strides
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
pilot/pkg/networking/core/listener_test.go
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu Jun 13 01:56:28 UTC 2024 - 93.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%10 = "tf.Cast"(%8) {Truncate = false, device = ""} : (tensor<2x3x3x3x2xi32>) -> tensor<2x3x3x3x2xf32> %11 = "tf.Conv3D"(%9, %10) {device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]} : (tensor<1x3x4x3x3xf32>, tensor<2x3x3x3x2xf32>) -> tensor<1x3x2x3x2xf32> %12 = "tf.Cast"(%11) {device = ""} : (tensor<1x3x2x3x2xf32>) -> tensor<1x3x2x3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
if use_variable_for_filter: filters = variables.Variable(filters) output_tensor = nn_ops.conv2d( in_placeholder, filters, strides=[1, 1, 2, 1], dilations=[1, 1, 1, 1], padding='SAME', data_format='NHWC', ) return in_placeholder, output_tensor def _create_simple_tf1_gather_model(
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/stablehlo/python/integration_test/quantize_model_test.py
dilations: Sequence[int] = None, has_func_alias: bool = False, ): input_shape = (None, 3, 4, 3) if input_shape_dynamic else (1, 3, 4, 3) filter_shape = (2, 3, 3, 2) strides = (1, 1, 1, 1) model = self._create_conv2d_model( input_shape, filter_shape, self._input_saved_model_path, bias_fn, activation_fn, has_batch_norm, strides,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
pilot/pkg/serviceregistry/kube/controller/controller_test.go
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu May 23 21:07:03 UTC 2024 - 85K bytes - Viewed (0) -
pilot/pkg/networking/core/httproute_test.go
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu Mar 28 17:09:02 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
%0 = "tf.Conv2D"(%arg0, %arg1) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0)