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Results 11 - 20 of 36 for input_size (0.44 sec)
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tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
window_strides_values[0], input_sizes[0], output_sizes[0])) { align_corners = true; return success(); } if (can_convert_to_bilinear( /*align_corners=*/false, lhs_dilation_values[0], padding_values[0], window_strides_values[0], input_sizes[0], output_sizes[0])) { align_corners = false;
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/tests/lower-static-tensor-list.mlir
// CHECK: [[ZERO_1:%.*]] = arith.constant dense<0> : tensor<i32> // CHECK: [[INPUT_SIZE:%.*]] = "tf.Gather"([[SHAPE]], [[ZERO_1]]) <{validate_indices = true}> : (tensor<2xi32>, tensor<i32>) -> tensor<i32> // CHECK: [[SIZE_DIFF:%.*]] = "tf.Sub"([[SIZE]], [[INPUT_SIZE]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
} static LogicalResult ComputeConvWindowedOutputSize( int64_t input_size, int64_t filter_size, int64_t dilation_rate, int64_t stride, tensorflow::Padding padding, int64_t* output_size) { int64_t pad_low; int64_t pad_high; tensorflow::Status status = tensorflow::GetWindowedOutputSizeVerbose( input_size, filter_size, dilation_rate, stride, padding, output_size, &pad_low, &pad_high);
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/lite/transforms/prepare_tf.cc
mlir::dyn_cast<RankedTensorType>(input.getType()); if (!input_type) { return failure(); } const ArrayRef<int64_t> input_shape = input_type.getShape(); const int input_size = input_shape.size(); RankedTensorType begin_type = mlir::cast<RankedTensorType>(begin.getType()); const ArrayRef<int64_t> begin_shape = begin_type.getShape(); const int begin_dim = begin_shape.size();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
TF_Float32Tensor:$sorted_gains, TF_Float32Tensor:$embedding_table, TF_Int32Tensor:$num_minibatches_per_physical_sparse_core, ConfinedAttr<I64Attr, [IntMinValue<0>]>:$input_size, OptionalAttr<F32Attr>:$quantization_config_low, OptionalAttr<F32Attr>:$quantization_config_high, OptionalAttr<I64Attr>:$quantization_config_num_buckets, StrAttr:$table_name );
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
std::set<EdgeSpec> a_edges; // actual edges // Get edges from inputs to body nodes and between body nodes for (const NodeDef& node_def : fdef.node_def()) { for (int i = 0; i < node_def.input_size(); ++i) { const string& in = node_def.input(i); const auto& v = a_edges.insert({in, strings::StrCat(node_def.name(), ":", i)}); ASSERT_TRUE(v.second) << "Duplicate edge " << in << " -> "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 20 22:08:54 UTC 2023 - 63.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let description = [{ A recurrent neural network specified by an RNN cell. This Op takes in input in a format {batch_size, seq_len, input_size} or {seq_len, batch_size, input_size} if it's time-majored. It implements the following operation for each element in the sequence s = 1...sequence_length: outputs[s] = state = activation(RNNOp(inputs[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/util/ioutils/ioutils_test.go
for _, test := range tests { t.Run(fmt.Sprintf("inputSize=%d limit=%d writes=%d", test.inputSize, test.limit, test.writeSize), func(t *testing.T) { input := make([]byte, test.inputSize) r.Read(input) output := &bytes.Buffer{} w := LimitWriter(output, test.limit) var ( err error written int64 n int ) for written < test.inputSize && err == nil {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Sep 11 13:52:28 UTC 2019 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/metrics/error_collector_inst_test.cc
context.getOrLoadDialect<TF::TensorFlowDialect>(); const std::string input_file = "tensorflow/compiler/mlir/lite/metrics/testdata/strided_slice.mlir"; auto input_file_id = StringAttr::get(&context, input_file); context.enableMultithreading(); auto module = LoadModule(&context, tensorflow::GetDataDependencyFilepath(input_file)); EXPECT_EQ(module.ok(), true);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 25 01:48:36 UTC 2024 - 8.2K bytes - Viewed (0) -
fess-crawler/src/test/java/org/codelibs/fess/crawler/extractor/impl/CommandExtractorTest.java
assertEquals("test1 \" test2", list.get(1)); cmd = "test.sh $INPUT_FILE"; params.clear(); list = extractor.parseCommand(cmd, params); assertEquals(2, list.size()); assertEquals("test.sh", list.get(0)); assertEquals("$INPUT_FILE", list.get(1)); cmd = "test.sh $INPUT_FILE $OUTPUT_FILE"; params.clear(); list = extractor.parseCommand(cmd, params);
Registered: Wed Jun 12 15:17:51 UTC 2024 - Last Modified: Thu Feb 22 01:36:27 UTC 2024 - 9.8K bytes - Viewed (0)