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Results 11 - 20 of 24 for SQUEEZE (0.22 sec)
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tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
%0 = "tf.Bitcast"(%arg0) : (tensor<2xf32>) -> tensor<2x2xf16> func.return %0 : tensor<2x2xf16> } // ----- // CHECK-LABEL: squeeze func.func @squeeze(%arg0: tensor<1x1x10xf32>) -> tensor<1x10xf32> { // CHECK: mhlo.reshape %0 = "tf.Squeeze"(%arg0) : (tensor<1x1x10xf32>) -> tensor<1x10xf32> func.return %0 : tensor<1x10xf32> } // ----- // CHECK-LABEL: squeeze_ranked
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.cc
const auto& expected_params = collected_quant_params[0]; for (int i = 1; i < collected_quant_params.size(); ++i) { const auto& compared_params = collected_quant_params[i]; // For some ops (such as Transpose or Squeeze), the quantized axis might not // be the same, this function only verifies the scale and zero point in // that case. The quantized axis should be verified in their own verifier // method.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 43.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
This operation is related to `squeeze()`, which removes dimensions of size 1. }]; // TODO: Restriction on dim's size and valid range are not modeled here. let arguments = (ins AnyTensor:$input, TFL_I32OrI64Tensor:$dim); let results = (outs AnyTensor:$output); let hasOptions = 1; } def TFL_SqueezeOp: TFL_Op<"squeeze", [Pure,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
docs/en/docs/deployment/docker.md
### Number of Processes on the Official Docker Image The **number of processes** on this image is **computed automatically** from the CPU **cores** available. This means that it will try to **squeeze** as much **performance** from the CPU as possible. You can also adjust it with the configurations using **environment variables**, etc.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sat May 18 23:43:13 UTC 2024 - 34K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
%0 = "tfl.squeeze"(%arg0) {squeeze_dims = [0]}: (tensor<*xf32>) -> tensor<*xf32> func.return %0: tensor<*xf32> // CHECK-LABEL: DontConvertSqueezeToReshape // CHECK: %[[RESULT:.*]] = "tfl.squeeze"(%arg0) // CHECK: return %[[RESULT]] } func.func @ConvertSqueezeToReshapeOnMultiDynamicDims(%arg0: tensor<?x?xf32>) -> tensor<?x?xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK-DAG: %[[CST_1:.*]] = "tf.Const"() <{value = dense<[1, 1504]> : tensor<2xi32>}> : () -> tensor<2xi32> // CHECK: %[[VAL_2:.*]] = "tf.Squeeze"(%[[VAL_1]]) <{squeeze_dims = [0]}> : (tensor<1x2xi32>) -> tensor<2xi32> // CHECK: %[[VAL_3:.*]] = "tf.Slice"(%[[ARG_0]], %[[VAL_2]], %[[CST_1]]) : (tensor<1x2944xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<1x1504xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
if (!input_type) return success(); // Can't verify squeeze dims. int64_t input_rank = input_type.getRank(); for (const auto &squeeze_dim_apint : op.getSqueezeDims().getAsValueRange<IntegerAttr>()) { int64_t squeeze_dim = squeeze_dim_apint.getSExtValue(); if (squeeze_dim < -input_rank || squeeze_dim >= input_rank) { return op.emitOpError() << "squeeze dimension " << squeeze_dim << " not in ["
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
SmallVector<int64_t, 4> begin_indices(value_rank, 0); auto end_indices = llvm::to_vector<4>(value_type.getShape()); SmallVector<int64_t, 4> strides(value_rank, 1); // All HLO slice+squeeze results used to replace the original tf.Unpack op. SmallVector<Value, 4> results; results.reserve(op.getNumResults()); for (int i = 0, end = op.getNumResults(); i < end; ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0)