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tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
} // CHECK-LABEL: QuantizeWithoutNorm func.func @QuantizeWithoutNorm(%arg0: tensor<1x1x5xf32>) -> tensor<*xf32> attributes {tf.entry_function = {inputs = "input0", outputs = "output24"}} { %none = "tfl.no_value"() {value = unit} : () -> none %input = "quantfork.stats"(%arg0) {layerStats = dense<[-1.2, 1.5]> : tensor<2xf32>} : (tensor<1x1x5xf32>) -> tensor<1x1x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/img/build-cache/overlapping-outputs-timeline.png
overlapping-outputs-timeline.png...
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 94.8K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/img/build-cache/overlapping-outputs-input-comparison.png
overlapping-outputs-input-comparison.png...
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 63.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
Args: input_tensor: Input tensor to matmul with the filter. Returns: A 'output' -> output tensor mapping """ out = math_ops.matmul(input_tensor, random_tensor_gen_fn((2, 3))) out = math_ops.matmul(out, random_tensor_gen_fn((3, 4))) return {'output': out} model = TwoMatmulModel() input_shape = (1, 2) save.save( model,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/c/kernels_test.cc
output->DebugString(100)); } REGISTER_OP("AllocateOutputOp0").Output("output1: float"); TEST_F(DeviceKernelOpTest, TestAllocateEmptyOutput) { auto my_compute_func = [](void* kernel, TF_OpKernelContext* ctx) { TF_Status* s = TF_NewStatus(); // Allocate empty output int64_t dim = 0; TF_Tensor* output = TF_AllocateOutput(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 50.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
) inputs = {'input_vocabs': input_vocabs_placeholder} outputs = { 'lookup': lookup_tensor, 'output': output_tensor, } self._save_tf1_model( sess, output_path, signature_def_key, tags, inputs=inputs, outputs=outputs, init_op=lookup_ops.tables_initializer(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteTensorHandle(retvals[0]); float output[2] = {0}; EXPECT_EQ(sizeof(output), TF_TensorByteSize(t)); memcpy(&output[0], TF_TensorData(t), TF_TensorByteSize(t)); TF_DeleteTensor(t); EXPECT_EQ(1, output[0]); EXPECT_EQ(3, output[1]); TFE_DeleteContext(ctx); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_DeleteStatus(status);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 20:50:20 UTC 2023 - 94.6K bytes - Viewed (0)