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Results 1 - 7 of 7 for ASSERT_NE (0.08 sec)
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tensorflow/c/c_test_util.cc
if (!dims.empty()) { TF_SetAttrShape(desc, "shape", dims.data(), dims.size()); } *op = TF_FinishOperation(desc, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); ASSERT_NE(*op, nullptr); } TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s, const char* name, TF_DataType dtype, const std::vector<int64_t>& dims) { TF_Operation* op;
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Fri Oct 15 03:16:52 UTC 2021 - 17.8K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
ASSERT_NE(func_, nullptr); // Verify that FunctionDef ArgDef has attributes. ASSERT_EQ(func_->record->fdef().arg_attr_size(), 1); auto arg_attrs = func_->record->fdef().arg_attr().find(0); ASSERT_NE(arg_attrs, func_->record->fdef().arg_attr().end()); auto iter = arg_attrs->second.attr().find("_test_attr"); ASSERT_NE(iter, arg_attrs->second.attr().end());
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Thu Jul 20 22:08:54 UTC 2023 - 63.6K bytes - Viewed (0) -
tensorflow/c/eager/dlpack_test.cc
dltensor_in->dtype = {kDLFloat, 32, 1}; dltensor_in->shape = shape.data(); dltensor_in->strides = strides.data(); TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx); ASSERT_NE(handle, nullptr) << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",") << "], strides=[" << absl::StrJoin(strides, ",") << "])"; auto* dlm_out =
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Fri Jun 30 03:04:46 UTC 2023 - 4.4K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
/*output_names=*/nullptr, /*opts=*/nullptr, description, s.get()); ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get()); ASSERT_NE(*func, nullptr); } class CApiExperimentalFunctionTest : public ::testing::Test { protected: CApiExperimentalFunctionTest() : s_(TF_NewStatus()), func_graph_(TF_NewGraph()), func_(nullptr) {}
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Jan 17 22:27:52 UTC 2023 - 13.1K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
// Custom device: inputs in different custom devices fails. matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom1.get())); num_retvals = 1; TFE_Execute(matmul.get(), &retval, &num_retvals, status.get()); ASSERT_NE(TF_OK, TF_GetCode(status.get())); ASSERT_TRUE(absl::StrContains(TF_Message(status.get()), custom0)); ASSERT_TRUE(absl::StrContains(TF_Message(status.get()), custom1));
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Thu Aug 27 23:39:24 UTC 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_Operation* vec3 = Const(vec3_tensor.get(), graph, status, "vec3"); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_Operation* add = AddNoCheck(vec2, vec3, graph, status); ASSERT_NE(TF_OK, TF_GetCode(status)); ASSERT_TRUE(add == nullptr); TF_DeleteGraph(graph); TF_DeleteStatus(status); } TEST(CAPI, GetOpDef) { TF_Status* status = TF_NewStatus();
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 97K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); // Test that full type information can be accessed. auto outs = unwrap(add_outputs); auto h = outs->outputs[0]; ASSERT_NE(h, nullptr); ASSERT_EQ(h->FullType().type_id(), TFT_UNSET); ASSERT_EQ(unwrap(inputs[0])->FullType().type_id(), TFT_UNSET); // Clean up operation and inputs. TF_DeleteAbstractOp(add_op);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 39.1K bytes - Viewed (0)