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Results 51 - 55 of 55 for if (0.16 sec)
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
EXPECT_EQ(n, block_size); EXPECT_EQ(offset % block_size, 0); size_t bytes_to_copy = 0; if (offset == 0) { // The first block (16 bytes) of the file. memset(buffer, 'x', n); bytes_to_copy = n; first_block = true; } else if (offset == block_size) { // The second block (8 bytes) of the file. bytes_to_copy = file_size - block_size;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) { if (oper == feed) { EXPECT_FALSE(found_placeholder); found_placeholder = true; } else if (oper == three) { EXPECT_FALSE(found_scalar_const); found_scalar_const = true; } else if (oper == add) { EXPECT_FALSE(found_add); found_add = true; } else if (oper == neg) { EXPECT_FALSE(found_neg);
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) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { AbstractTensorHandle* loss; AbstractTensorHandle* backprop; TF_RETURN_IF_ERROR(ops::SparseSoftmaxCrossEntropyWithLogits( ctx, inputs[0], inputs[1], &loss, &backprop, "SparseSoftmaxCrossEntropyWithLogits")); // `gradient_checker` only works with model that returns only 1 tensor.
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
src/cmd/cgo/internal/swig/testdata/callback/main.cc
C++ - Registered: Tue Apr 23 11:13:09 GMT 2024 - Last Modified: Fri May 12 12:00:07 GMT 2023 - 384 bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_EQ(0, device_id) << device_id; // Disable the test if no GPU is present. string gpu_device_name; if (GetDeviceName(ctx, &gpu_device_name, "GPU")) { TFE_TensorHandle* hgpu = TFE_TensorHandleCopyToDevice( hcpu, ctx, gpu_device_name.c_str(), status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1)