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subprojects/core/src/integTest/groovy/org/gradle/api/tasks/TaskParametersIntegrationTest.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 09:03:53 UTC 2024 - 36.3K 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: %[[input_20]], %[[input_21]], %[[input_22]], %[[input_23]])
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/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/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) -
tensorflow/cc/framework/ops.h
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
std::vector<TFE_TensorHandle*> compute_fn_inputs; TFE_TensorHandle* input_a = TestScalarTensorHandle(ctx, 2.0f); TFE_TensorHandle* input_b = TestScalarTensorHandle(ctx, 1.0f); compute_fn_inputs.push_back(input_a); compute_fn_inputs.push_back(input_b); TFE_Op* compute_fn_op = TF_ConcreteFunctionMakeCallOp(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/quant_stats.pbtxt
# RUN: tf_tfl_translate -tf-input-arrays=input0,input1 \ # RUN: -tf-input-shapes=4:4 \ # RUN: -tf-input-data-types=DT_FLOAT,DT_FLOAT \ # RUN: -tf-output-arrays=Add \ # RUN: -tf-inference-type=DT_QUINT8 \ # RUN: -tf-input-min-values='-2,-3' \ # RUN: -tf-input-max-values='2,3' \ # RUN: --quant-stats=%s.stats \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util_test.cc
std::vector<const Tensor*> inputs; inputs.push_back(a); inputs.push_back(b); TF_ASSERT_OK_AND_ASSIGN(auto execute_outputs, RunExecutable(inputs, {}, result, executable)); TF_EXPECT_OK(PopulateCtxOutputsFromPjRtExecutableOutputs( /*num_missing_prefix_ctx_inputs=*/0, inputs, {}, *result,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 28.8K bytes - Viewed (0) -
tensorflow/cc/framework/gradients.cc
return errors::InvalidArgument( "Must specify a gradient input for each output."); } std::vector<bool> reachable_nodes = GetReachableNodes(); for (const Output& input : inputs_) { if (!reachable_nodes[input.node()->id()]) { return errors::InvalidArgument( "Cannot compute the partial derivative for node '", input.node()->name(), "' as it's unreachable from the output node(s).");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
EXPECT_THAT(input2->type, Eq(TensorType_INT8)); // Check if the quantization params of the minimum/maximum inputs match // after requantization EXPECT_THAT(input1->quantization->scale, Eq(input2->quantization->scale)); EXPECT_THAT(input1->quantization->zero_point, Eq(input2->quantization->zero_point)); // Check the input quantization params match the output ones.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0)