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tensorflow/c/c_api_test.cc
TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, 5, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); // Try to set an invalid shape (cannot change 2x3 to a 2x5). dims[1] = 5; TF_GraphSetTensorShape(graph, feed_out_0, dims, 2, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); // Test for a scalar. TF_Operation* three = ScalarConst(3, graph, s);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
ci/official/requirements_updater/README.md
To set a different version, use the `TF_PYTHON_VERSION` environment variable, e.g. ``` export TF_PYTHON_VERSION=3.11 ``` To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 3.9K bytes - Viewed (1) -
RELEASE.md
* Extends `tf.keras.layers.Lambda` layers to support multi-argument lambdas, and keyword arguments when calling the layer. * Functional models now get constructed if *any* tensor in a layer call's arguments/keyword arguments comes from a keras input. Previously the functional api would only work if all of the elements in the first argument to the layer came from a keras input.
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tensorflow/c/eager/dlpack.cc
// 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data(); dlm_tensor->dl_tensor.byte_offset = 0; // TF doesn't handle the strides and byte_offsets here return static_cast<void*>(dlm_tensor); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
Status s = RunModel(RecordOperationWithNullGradientFunctionModel, ctx.get(), {x.get()}, absl::MakeSpan(outputs), /*use_function=*/!std::get<2>(GetParam())); ASSERT_EQ(error::INVALID_ARGUMENT, s.code()); ASSERT_EQ( "Provided null gradient_function for 'Neg'.\nIf the intent is to treat " "this op as non-differentiable consider using RegisterNotDifferentiable "
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(op_to_reset); op->Clear(); status->status = op->Reset(op_or_function_name, raw_device_name); } else { TF_SetStatus(status, TF_INVALID_ARGUMENT, "op_to_reset should not be nullptr"); } } void TFE_ContextEnableGraphCollection(TFE_Context* ctx) { tensorflow::unwrap(ctx)->SetShouldStoreGraphs(true); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
.bazelrc
# Sets the default Apple platform to macOS. build:macos --apple_platform_type=macos # gRPC on MacOS requires this #define build:macos --copt=-DGRPC_BAZEL_BUILD # Avoid hitting command line argument limit build:macos --features=archive_param_file # Settings for MacOS on ARM CPUs. build:macos_arm64 --cpu=darwin_arm64 build:macos_arm64 --macos_minimum_os=11.0
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tensorflow/c/eager/c_api.cc
tensorflow::errors::InvalidArgument("Unparseable AttrValue proto"); return; } if (op == nullptr) { status->status = tensorflow::errors::InvalidArgument( "Got a null or uninitialized `op` argument"); return; } tensorflow::EagerOperation* operation = OperationFromInterface(tensorflow::unwrap(const_cast<TFE_Op*>(op))); operation->MutableAttrs()->Set(attr_name, attr_value); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/c_api_function.cc
void TF_GraphCopyFunction(TF_Graph* g, const TF_Function* func, const TF_Function* grad, TF_Status* status) { if (func == nullptr) { status->status = InvalidArgument( "'func' argument to TF_GraphCopyFunction cannot be null"); return; } tensorflow::mutex_lock l(g->mu); status->status = g->graph.AddFunctionDef(func->record->fdef(),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
configure.py
var_default: (String) default value string. ask_for_var: (String) string for how to ask for user input. check_success: (Function) function that takes one argument and returns a boolean. Should return True if the value provided is considered valid. May contain a complex error message if error_msg does not provide enough
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1)