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Results 1 - 2 of 2 for AvgPool (4.34 sec)
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tensorflow/c/eager/c_api_test.cc
TFE_Context* ctx = TFE_NewContext(opts, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteContextOptions(opts); std::vector<int64_t> dims(4, 1); TFE_Op* op = TFE_NewOp(ctx, "AvgPool", status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_Tensor* tensor = TF_AllocateTensor(TF_FLOAT, dims.data(), dims.size(), sizeof(float)); float tensor_data[] = {1};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
RELEASE.md
* Move cuDNN RNN ops to core for use in TensorFlow codebase only. * Add `float64` support for `Conv2d`, `Conv2dBackpropInput`, and `Conv2dBackpropFilter`. * Add `float64` support for `AvgPool`/`AvgPoolGrad`. * Make graph name scope thread local so that they work correctly in multi-threaded environments. * Update nsync synchronization library to avoid slow primitives on Linux.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)