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Results 1 - 10 of 54 for inputs_0 (0.39 sec)
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tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/tf_to_corert_pipeline.mlir
@__forward_call_369(%arg0: tensor<16x224x224x3xf32> {tf._user_specified_name = "inputs"}, %arg1: tensor<*x!tf_type.resource>, %arg2: tensor<*x!tf_type.resource>, %arg3: tensor<*x!tf_type.resource>, %arg4: tensor<*x!tf_type.resource>) -> (tensor<?x?xf32>, tensor<*xf32>, tensor<?x16384xf32>, tensor<16x112x112x?xf32>, tensor<16x224x224x3xf32>, tensor<*xf32>) attributes {tf.entry_function = {control_outputs = "", inputs = "inputs_0,conv1_conv2d_readvariableop_resource,conv1_biasadd_readvariableop_resource...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/device_compiler_test_helper.cc
RunOptions run_options; Tensor input_a = CreateInputTensor(shape, 0); Tensor input_b = CreateInputTensor(shape, shape.num_elements()); Tensor input_c = CreateInputTensor(shape, 2 * shape.num_elements()); TF_RETURN_IF_ERROR(session->Run( run_options, {std::make_pair("a", input_a), std::make_pair("b", input_b), std::make_pair("c", input_c)}, {"m"}, {}, &golden_output_tensors, nullptr));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 08:24:16 UTC 2024 - 6.2K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/suggest/converter/KatakanaConverter.java
readingList.add(toKatakana(text)); return readingList; } protected String toKatakana(final String inputStr) throws IOException { final StringBuilder kanaBuf = new StringBuilder(); final Reader rd = new StringReader(inputStr); try (TokenStream stream = createTokenStream(rd)) { if (stream == null) { throw new IOException("Invalid tokenizer.");
Registered: Wed Jun 12 15:38:08 UTC 2024 - Last Modified: Thu Feb 22 01:36:54 UTC 2024 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir
%result:4 = tf_device.replicate([%arg0, %arg1] as %input0: tensor<*xf32>) {n = 2 : i32} { tf_device.return %input0, %arg2 : tensor<*xf32>, tensor<*xi32> } func.return // CHECK: tf_device.replicate // CHECK-SAME: ([%[[ARG_0]], %[[ARG_1]]] as %[[INPUT_0:[a-z0-9]*]]: tensor<*xf32>) // CHECK-SAME: n = 2 // CHECK-NEXT: tf_device.return %[[INPUT_0]], %[[ARG_2]] } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/simple-graph.mlir
module { func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> attributes {tf.entry_function = {inputs = "input0,input1,input2,input3", outputs = "output"}} { %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/cc/saved_model/util.cc
absl::StrCat("tensor parsing error: ", alias)); } inputs.emplace_back(feed_name, tensor); } if (!request_inputs.empty() && seen_request_inputs.size() != request_inputs.size()) { return absl::InvalidArgumentError(absl::StrCat( "Inputs contains invalid name. Used request inputs: ", absl::StrJoin(seen_request_inputs, ","),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 10 10:25:28 UTC 2024 - 3.1K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/running-builds/additional/continuous_builds.adoc
=== Build cycles Gradle starts watching for changes just before a task executes. If a task modifies its own inputs while executing, Gradle will detect the change and trigger a new build. If every time the task executes, the inputs are modified again, the build will be triggered again. This isn't unique to continuous build. A task that modifies its own inputs will never be considered up-to-date when run "normally" without continuous build.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Feb 05 18:33:11 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/jit/node_matchers_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 14:43:57 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
// Creates parameters (placeholders) in the tracing `ctx` using the shape and // dtype of `inputs`. Status CreateParamsForInputs(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, std::vector<AbstractTensorHandle*>* params); // A callable that takes tensor inputs and returns zero or more tensor outputs. using Model = std::function<Status(AbstractContext*,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 13:57:45 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/cc/ops/while_loop.cc
const std::vector<Output>& inputs, std::vector<Output>* outputs) { DCHECK(outputs != nullptr); DCHECK(outputs->empty()); // The control dependency is analogous to that in CreateCond(). Scope body_scope = scope.NewSubScope("body").WithControlDependencies(inputs[0]); TF_RETURN_IF_ERROR(body(body_scope, inputs, outputs)); const size_t num_loop_vars = inputs.size();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 01:01:21 UTC 2024 - 9.5K bytes - Viewed (0)