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Results 1 - 10 of 171 for input16 (0.46 sec)
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test/copy.go
// swap in and out to exercise copy-up and copy-down input8, output8 = output8, input8 input16, output16 = output16, input16 input32, output32 = output32, input32 input64, output64 = output64, input64 in := 0 out := 13 for i := range input8 { input8[i] = u8(in) output8[i] = u8(out) outputS[i] = u8(out) input16[i] = u16(in) output16[i] = u16(out) input32[i] = u32(in) output32[i] = u32(out)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Feb 12 18:17:49 UTC 2013 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
// CHECK: %[[lstm:.*]] = "tfl.unidirectional_sequence_lstm"(%[[input_0]], %[[input_1]], %[[input_2]], %[[input_3]], %[[input_4]], %[[input_5]], %[[input_6]], %[[input_7]], %[[input_8]], // CHECK-SAME: %[[input_9]], %[[input_10]], %[[input_11]], %[[input_12]], %[[input_13]], %[[input_14]], %[[input_15]], %[[input_16]], %[[input_17]], %[[input_18]], %[[input_19]] // CHECK-SAME: effective_hidden_scale_intermediate = tensor<!quant.uniform<i8:f32, 0.0039215686274509803:-1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
// CHECK-SAME: %[[input_9]], %[[input_9]], %[[input_9]], // CHECK-SAME: %[[input_10]], %[[input_11]], %[[input_12]], %[[input_13]], // CHECK-SAME: %[[input_9]], %[[input_9]], // CHECK-SAME: %[[input_14]], %[[input_15]], // CHECK-SAME: %[[input_9]], %[[input_9]], %[[input_9]], %[[input_9]]) <{ // CHECK-SAME: asymmetric_quantize_inputs = false, // CHECK-SAME: cell_clip = 1.000000e+01 : f32,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_device_ops.td
is used instead. Operands are replicated inputs and packed inputs. replicated_inputs: each group of `n` inputs corresponds to an input for a single individual replica and is mapped to a single region argument. Inside one group the operands are matching in order the `devices` attribute. Each replicated input must have compatible shapes and types. packed_inputs: each input corresponds to an input broadcasted across all
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 14.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir
%10 = "tf.opK"() : () -> tensor<*xi16> %11 = "tf.opL"() : () -> tensor<*xi64> tf_device.replicate([%0, %1, %2] as %input0: tensor<*xi1>, %9 as %input1: tensor<*xi8>, %10 as %input2: tensor<*xi16>, [%3, %4, %5] as %input3: tensor<*xi32>, [%6, %7, %8] as %input4: tensor<*xf32>, %11 as %input5: tensor<*xi64>) {n = 3 : i32} { tf_device.return } func.return // CHECK: %[[OP_A:[a-z0-9]*]] = "tf.opA"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/simple-graph.mlir
// RUN: tac-translate -input-mlir -output-mlir -device-specs=GPU %s -o - 2>&1 | FileCheck %s module { func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> attributes {tf.entry_function = {inputs = "input0,input1,input2,input3", outputs = "output"}} { %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.6K bytes - Viewed (0) -
platforms/software/signing/src/test/groovy/org/gradle/plugins/signing/SignOperationSpec.groovy
input2 = getResourceFile("2.txt") output2 = signing.signatureType.fileFor(input2) input2Artifact = new DefaultPublishArtifact(input2.name, "Text File", "txt", null, null, input2) [output1, output2].each { output -> assert !output.exists() || output.delete() } assert input1.text && input2.text // don't care what it is, just need some }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Oct 11 12:16:09 UTC 2023 - 2.8K bytes - Viewed (0) -
tensorflow/cc/tools/freeze_saved_model_test.cc
} // Builds a SignatureDef with the provided `inputs` and `outputs`. SignatureDef BuildSignatureDef(const std::unordered_set<string>& inputs, const std::unordered_set<string>& outputs) { SignatureDef signature_def; for (const string& input : inputs) { (*signature_def.mutable_inputs())[input].set_name(input); } for (const string& output : outputs) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 07 13:30:31 UTC 2022 - 21.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/prune_unused_nodes.pbtxt
} } } } node { name: "Add" op: "Add" input: "input0" input: "input1" attr { key: "T" value { type: DT_INT32 } } } node { name: "input0" op: "Placeholder" attr { key: "dtype" value { type: DT_INT32 } } } node { name: "input1" op: "Placeholder" attr { key: "dtype" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 24 00:20:25 UTC 2020 - 1.2K bytes - Viewed (0) -
tensorflow/c/while_loop_test.cc
Init(2); // Create nested loop: // while (input1 < 6) { // inner_input1 = input1 // while (inner_input1 < 3) { // input2 += 1 // inner_input1 += 2 // } // input1 += input2 // } // // Expected execution with initial values input1 = input2 = 0: // // outer inner inner_ // step# step# input1 input2 input1 // ------------------------------------
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 06:05:56 UTC 2024 - 15.3K bytes - Viewed (0)